Author Archives: Edward Fernandez

Moving Connected Device Security Standards Forward

As Mobile World Congress approaches, we have the opportunity to have deep and meaningful conversations across the industry about the present and future of connected device security. Ahead of the event, we wanted to take a moment to recognize and share additional details on the notable progress being made to form harmonized connected device security standards and certification initiatives that provide users with better transparency about how their sensitive data is protected.

Supporting the GSMA Working Party for Mobile Device Security Transparency

We’re pleased to support and participate in the recently announced GSMA working party, which will develop a first-of-its-kind smartphone security certification program. The program will leverage the Consumer Mobile Device Protection Profile (CMD PP) specification released by ETSI, a European Standards Development Organization (SDO), and will provide a consistent way to evaluate smartphones for critical capabilities like encryption, security updates, biometrics, networking, trusted hardware, and more.

This initiative should help address a significant gap in the market for consumers and policy makers, who will greatly benefit from a new, central security resource. Most importantly, these certification programs will evaluate connected devices across industry-accepted criteria. Widely-used devices, including smartphones and tablets, which currently do not have a familiar security benchmark or system in place, will be listed with key information on device protection capabilities to bring more transparency to users.

We hope this industry-run certification program can also benefit users and support policy makers in their work as they address baseline requirements and harmonization of standards.As policy makers consider changes through regulation and legislation, such as the UK’s Product Security and Telecommunications Infrastructure Act (PSTI), and emerging regulation like the EU Cyber Security and Cyber Resilience Acts, we share the concerns that today we are not equipped with globally recognized standards that are critical to increased security across the ecosystem. We join governments in the call to come together to ensure that we can build workable, harmonized standards to protect the security of users and mobile infrastructure today and build the resilience needed to protect our future.

The Importance of Harmonized Standards for Connected Devices

Connected devices, not just smartphones, are increasingly becoming the primary touchpoint for the most important aspects of our personal lives. From controlling the temperature of your home, to tracking your latest workout – connected devices have become embedded in our day-to-day tasks and activities. As consumers increasingly entrust more of their lives to their connected devices, they’re right to question the security protections provided and demand more transparency from manufacturers.

After we participated in a recent White House Workshop on IoT security labeling, we shared more about our commitment to security and transparency by announcing the extension of device security assessments – which started with Pixel 3 and now includes Nest, and Fitbit hardware. We have and always will strive to ensure our newly released products comply with the most prevalent security baselines that are defined by industry-recognized standards organizations. We will also remain transparent about critical security features – like how long our devices will receive security updates and our collaboration with security researchers that help us identify and fix security issues to help keep users safe.

By participating in international standards and certification programs such as our work as a member of the Connectivity Standards Alliance (Alliance), we’re working to raise the bar for the industry and develop a consistent set of security requirements that users can rely on.


New Research Continues to Help Inform Our Efforts to Establish Strong Security Standards and Labeling Practices

Last year, the Alliance formed the Product Security Working Group (PSWG). Over the past nine months, the working group has been making terrific progress on its mission to build an industry-run certification program for IoT devices that aligns with existing and future regulatory requirements to reduce fragmentation and promote harmonization.

Today, the Alliance in partnership with independent research firm Omdia, published a comprehensive research report that outlines all of the currently published and emerging global IoT security regulations and the standards baselines they map to. This critical research enables PSWG to hone its focus and efforts on harmonizing between ETSI EN 303 645 and NIST IR 8425, as these two baseline security standards were found to underpin the vast majority of the regulations outlined in the research report.

The other notable area of the report highlighted the need for transparent security labeling for connected devices, which has also become a very important industry initiative. A large majority (77%) of consumers surveyed indicated a device label that explains the privacy and security practices of the manufacturer would be important or very important to their purchasing decision. Transparent security labeling is critical in helping consumers understand which devices meet specific security standards and requirements during evaluation. We recently provided our principles for IoT security labeling and will continue to be a key contributor to efforts around providing users with transparent device security labels.

Creating Strong Connected Device Security Standards Together

It’s been inspiring to see all of the progress that the Connectivity Standards Alliance, GSMA and the industry at large has made on security standards and labeling initiatives in such a short time. It’s even more exciting to see how much collaboration there has been between both industry and the public sector on these efforts. We look forward to continuing the conversation and coordinating on these important security initiatives with policymakers, industry partners, developers and public interest advocates to bring more security and transparency to connected device users.

Vulnerability Reward Program: 2022 Year in Review

It has been another incredible year for the Vulnerability Reward Programs (VRPs) at Google! Working with security researchers throughout 2022, we have been able to identify and fix over 2,900 security issues and continue to make our products more secure for our users around the world.

We are thrilled to see significant year over year growth for our VRPs, and have had yet another record breaking year for our programs! In 2022 we awarded over $12 million in bounty rewards – with researchers donating over $230,000 to a charity of their choice.

As in past years, we are sharing our 2022 Year in Review statistics across all of our programs. We would like to give a special thank you to all of our dedicated researchers for their continued work with our programs - we look forward to more collaboration in the future!

Android

The Android VRP had an incredible record breaking year in 2022 with $4.8 million in rewards and the highest paid report in Google VRP history of $605,000!

In our continued effort to ensure the security of Google device users, we have expanded the scope of Android and Google Devices in our program and are now incentivizing vulnerability research in the latest versions of Google Nest and Fitbit! For more information on the latest program version and qualifying vulnerability reports, please visit our public rules page.

We are also excited to share that the invite-only Android Chipset Security Reward Program (ACSRP) - a private vulnerability reward program offered by Google in collaboration with manufacturers of Android chipsets - rewarded $486,000 in 2022 and received over 700 valid security reports.

We would like to give a special shoutout to some of our top researchers, whose continued hard work helps to keep Android safe and secure:

  • Submitting an impressive 200+ vulnerabilities to the Android VRP this year, Aman Pandey of Bugsmirror remains one of our program’s top researchers. Since submitting their first report in 2019, Aman has reported more than 500 vulnerabilities to the program. Their hard work helps ensure the safety of our users; a huge thank you for all of their hard work!
  • Zinuo Han of OPPO Amber Security Lab quickly rose through our program’s ranks, becoming one of our top researchers. In the last year they have identified 150 valid vulnerabilities in Android.
  • Finding yet another critical exploit chain, gzobqq submitted our highest valued exploit to date.
  • Yu-Cheng Lin (林禹成) (@AndroBugs) remains one of our top researchers submitting just under 100 reports this year.

Chrome

Chrome VRP had another unparalleled year, receiving 470 valid and unique security bug reports, resulting in a total of $4 million of VRP rewards. Of the $4M, $3.5 million was rewarded to researchers for 363 reports of security bugs in Chrome Browser and nearly $500,000 was rewarded for 110 reports of security bugs in ChromeOS.

This year, Chrome VRP re-evaluated and refactored the Chrome VRP reward amounts to increase the reward amounts for the most exploitable and harmful classes and types of security bugs, as well as added a new category for memory corruption bugs in highly privileged processes, such as the GPU and network process, to incentivize research in these critical areas. The Chrome VRP increased the fuzzer bonuses for reports from VRP-submitted fuzzers running on the Google ClusterFuzz infrastructure as part of the Chrome Fuzzing program. A new bisect bonus was introduced for bisections performed as part of the bug report submission, which helps the security team with our triage and bug reproduction.

2023 will be the year of experimentation in the Chrome VRP! Please keep a lookout for announcements of experiments and potential bonus opportunities for Chrome Browser and ChromeOS security bugs.

The entire Chrome team sincerely appreciates the contributions of all our researchers in 2022 who helped keep Chrome Browser, ChromeOS, and all the browsers and software based on Chromium secure for billions of users across the globe.

In addition to posting about our Top 0-22 Researchers in 2022, Chrome VRP would like to specifically acknowledge some specific researcher achievements made in 2022:

  • Rory McNamara, a six-year participant in Chrome VRP as a ChromeOS researcher, became the highest rewarded researcher of all time in the Chrome VRP. Most impressive is that Rory has achieved this in a total of only 40 security bug submissions, demonstrating just how impactful his findings have been - from ChromeOS persistent root command execution, resulting in a $75,000 reward back in 2018, to his many reports of root privilege escalation both with and without persistence. Rory was also kind enough to speak at the Chrome Security Summit in 2022 to share his experiences participating in the Chrome VRP over the years. Thank you, Rory!
  • SeongHwan Park (SeHwa), a participant in the Chrome VRP since mid-2021, has been an amazing contributor of ANGLE / GPU security bug reports in 2022 with 11 solid quality reports of GPU bugs earning them a spot on Chrome VRP 2022 top researchers list. Thank you, SeHwa!

Securing Open Source

Recognizing the fact that Google is one of the largest contributors and users of open source in the world, in August 2022 we launched OSS VRP to reward vulnerabilities in Google's open source projects - covering supply chain issues of our packages, and vulnerabilities that may occur in end products using our OSS. Since then, over 100 bughunters have participated in the program and were rewarded over $110,000.

Sharing Knowledge

We’re pleased to announce that in 2022, we’ve made the learning opportunities for bug hunters available at our Bug Hunter University (BHU) more diverse and accessible. In addition to our existing collections of articles, which support improving your reports and avoiding invalid reports, we’ve made more than 20 instructional videos available. Clocking in at around 10 minutes each, these videos cover the most relevant learning topics and trends we’ve observed over the past years.

To make this happen, we teamed up with some of your favorite and best-known security researchers from around the globe, including LiveOverflow, PwnFunction, stacksmashing, InsiderPhD, PinkDraconian, and many more!

If you’re tired of reading our articles, or simply curious and looking for an alternative way to expand your bug hunting skills, these videos are for you. Check out our overview, or hop right in to the BHU YouTube playlist. Happy watching & learning!


Google Play

2022 was a year of change for the Google Play Security Reward Program. In May we onboarded both new teammates and some old friends to triage and lead GPSRP. We also sponsored NahamCon ‘22, BountyCon in Singapore, and NahamCon Europe’s online event. In 2023 we hope to continue to grow the program with new bug hunters and partner on more events focused on Android & Google Play apps.

Research Grants

In 2022 we continued our Vulnerability Research Grant program with success. We’ve awarded more than $250,000 in grants to over 170 security researchers. Last year we also piloted collaboration double VRP rewards for selected grants and are looking forward to expanding it even more in 2023.

If you are a Google VRP researcher and want to be considered for a Vulnerability Research Grant, make sure you opted in on your bughunters profile.

Looking Forward

Without our incredible security researchers we wouldn’t be here sharing this amazing news today. Thank you again for your continued hard work!

Also, in case you haven’t seen Hacking Google yet, make sure to check out the “Bug Hunters” episode, featuring some of our very own super talented bug hunters.

Thank you again for helping to make Google, the Internet, and our users more safe and secure! Follow us on @GoogleVRP for other news and updates.

Thank you to Adam Bacchus, Dirk Göhmann, Eduardo Vela, Sarah Jacobus, Amy Ressler, Martin Straka, Jan Keller, Tony Mendez, Rishika Hooda

Hardening Firmware Across the Android Ecosystem

A modern Android powered smartphone is a complex hardware device: Android OS runs on a multi-core CPU - also called an Application Processor (AP). And the AP is one of many such processors of a System On Chip (SoC). Other processors on the SoC perform various specialized tasks — such as security functions, image & video processing, and most importantly cellular communications. The processor performing cellular communications is often referred to as the baseband. For the purposes of this blog, we refer to the software that runs on all these other processors as “Firmware”.

Securing the Android Platform requires going beyond the confines of the Application Processor (AP). Android’s defense-in-depth strategy also applies to the firmware running on bare-metal environments in these microcontrollers, as they are a critical part of the attack surface of a device.

A popular attack vector within the security research community

As the security of the Android Platform has been steadily improved, some security researchers have shifted their focus towards other parts of the software stack, including firmware. Over the last decade there have been numerous publications, talks, Pwn2Own contest winners, and CVEs targeting exploitation of vulnerabilities in firmware running in these secondary processors. Bugs remotely exploitable over the air (eg. WiFi and cellular baseband bugs) are of particular concern and, therefore, are popular within the security research community. These types of bugs even have their own categorization in well known 3rd party exploit marketplaces.

Regardless of whether it is remote code execution within the WiFi SoC or within the cellular baseband, a common and resonating theme has been the consistent lack of exploit mitigations in firmware. Conveniently, Android has significant experience in enabling exploit mitigations across critical attack surfaces.

Applying years worth of lessons learned in systems hardening

Over the last few years, we have successfully enabled compiler-based mitigations in Android — on the AP — which add additional layers of defense across the platform, making it harder to build reproducible exploits and to prevent certain types of bugs from becoming vulnerabilities. Building on top of these successes and lessons learned, we’re applying the same principles to hardening the security of firmware that runs outside of Android per se, directly on the bare-metal hardware.

In particular, we are working with our ecosystem partners in several areas aimed at hardening the security of firmware that interacts with Android:

Bare-metal support

Compiler-based sanitizers have no runtime requirements in trapping mode, which provides a meaningful layer of protection we want: it causes the program to abort execution when detecting undefined behavior. As a result, memory corruption vulnerabilities that would otherwise be exploitable are now stopped entirely. To aid developers in testing, troubleshooting, and generating bug reports on debug builds, both minimal and full diagnostics modes can be enabled, which require defining and linking the requisite runtime handlers.

Most Control Flow Integrity (CFI) schemes also work for bare-metal targets in trapping mode. LLVM’s1 CFI across shared libraries scheme (cross-DSO) is the exception as it requires a runtime to be defined for the target. Shadow Call Stack, an AArch64-only feature, has a runtime component which initializes the shadow stack. LLVM does not provide this runtime for any target, so bare-metal users would need to define that runtime to use it.

The challenge

Enabling exploit mitigations in firmware running on bare metal targets is no easy feat. While the AP (Application Processor) hosts a powerful operating system (Linux) with comparatively abundant CPU and memory resources, bare metal targets are often severely resource-constrained, and are tuned to run a very specific set of functions. Any perturbation in compute and/or memory consumption introduced by enabling, for example, compiler-based sanitizers, could have a significant impact in functionality, performance, and stability.

Therefore, it is critical to optimize how and where exploit mitigations are turned on. The goal is to maximize impact — harden the most exposed attack surface — while minimizing any performance/stability impact. For example, in the case of the cellular baseband, we recommend focusing on code and libraries responsible for parsing messages delivered over the air (particularly for pre-authentication protocols such as RRC and NAS, which are the most exposed attack surface), libraries encoding/decoding complex formats (for example ASN.1), and libraries implementing IMS (IP Multimedia System) functionality, or parsing SMS and/or MMS.

Fuzzing and Vulnerability Rewards Program

Enabling exploit mitigations and compiler-based sanitizers are excellent techniques to minimize the chances of unknown bugs becoming exploitable. However, it is also important to continuously look for, find, and patch bugs.

Fuzzing continues to be a highly efficient method to find impactful bugs. It’s also been proven to be effective for signaling larger design issues in code. Our team partners closely with Android teams working on fuzzing and security assessments to leverage their expertise and tools with bare metal targets.

This collaboration also allowed us to scale fuzzing activities across Google by deploying central infrastructure that allows fuzzers to run in perpetuity. This is a high-value approach known as continuous fuzzing.

In parallel, we also accept and reward external contributions via our Vulnerability Rewards Program. Along with the launch of Android 13, we updated the severity guidelines to further highlight remotely exploitable bugs in connectivity firmware. We look forward to the contributions from the security research community to help us find and patch bugs in bare metal targets.

On the horizon

In Android 12 we announced support for Rust in the Android platform, and Android 13 is the first release with a majority of new code written in a memory safe language. We see a lot of potential in also leveraging memory-safe languages for bare metal targets, particularly for high risk and exposed attack surface.

Hardening firmware running on bare metal to materially increase the level of protection - across more surfaces in Android - is one of the priorities of Android Security. Moving forward, our goal is to expand the use of these mitigation technologies for more bare metal targets, and we strongly encourage our partners to do the same. We stand ready to assist our ecosystem partners to harden bare metal firmware.

Special thanks to our colleagues who contributed to this blog post and our firmware security hardening efforts: Diana Baker, Farzan Karimi, Jeffrey Vander Stoep, Kevin Deus, Eugene Rodionov, Pirama Arumuga Nainar, Sami Tolvanen, Stephen Hines, Xuan Xing, Yomna Nasser.

Notes


  1. LLVM - is a compiler framework used by multiple programming languages 

Sustaining Digital Certificate Security – TrustCor Certificate Distrust

Note: This post is a follow-up to discussions carried out on the Mozilla “Dev Security Policy” Web PKI public discussion forum Google Group in December 2022. Google Chrome communicated its distrust of TrustCor in the public forum on December 15, 2022.

The Chrome Security Team prioritizes the security and privacy of Chrome’s users, and we are unwilling to compromise on these values.

Google includes or removes CA certificates within the Chrome Root Store as it deems appropriate for user safety in accordance with our policies. The selection and ongoing inclusion of CA certificates is done to enhance the security of Chrome and promote interoperability.

Behavior that attempts to degrade or subvert security and privacy on the web is incompatible with organizations whose CA certificates are included in the Chrome Root Store. Due to a loss of confidence in its ability to uphold these fundamental principles and to protect and safeguard Chrome’s users, certificates issued by TrustCor Systems will no longer be recognized as trusted by:

  • Chrome versions 111 (landing in Beta approximately February 9, 2023 and Stable approximately March 7, 2023) and greater; and
  • Older versions of Chrome capable of receiving Component Updates after Chrome 111’s Stable release date.

This change was first communicated in the Mozilla “Dev Security Policy” Web PKI public discussion forum Google Group on December 15, 2022.

This change will be implemented via our existing mechanisms to respond to CA incidents via:

  • An integrated certificate blocklist, and
  • Removal of certificates included in the Chrome Root Store.

Beginning approximately March 7, 2023, navigations to websites that use a certificate that chains to one of the roots detailed below will be considered insecure and result in a full page certificate error interstitial.

Affected Certificates (SHA-256 fingerprint):

This change will be integrated into the Chromium open-source project as part of a default build. Questions about the expected behavior in specific Chromium-based browsers should be directed to their maintainers.

This change will be incorporated as part of the regular Chrome release process to ensure sufficient time for testing and replacing affected certificates by website operators. Information about release timetables and milestones is available at https://chromiumdash.appspot.com/schedule.

Beginning approximately February 9, 2023, website operators can preview these changes in Chrome 111 Beta. Website operators will also be able to preview the change sooner, using our Dev and Canary channels. The majority of users will not encounter behavior changes until the release of Chrome 111 to the Stable channel, approximately March 7, 2023.

Summarizing security response of other Google products:

  • Android has removed TrustCor’s root CA certificates from the set of platform trusted certificates shipping with future operating system versions. Existing versions of Android will distrust TrustCor’s root CA certificates on a similar timeline as described above for Chrome.
  • Gmail is finalizing its action plan and updates will be made available in the future.

Supporting the Use of Rust in the Chromium Project

We are pleased to announce that moving forward, the Chromium project is going to support the use of third-party Rust libraries from C++ in Chromium. To do so, we are now actively pursuing adding a production Rust toolchain to our build system. This will enable us to include Rust code in the Chrome binary within the next year. We’re starting slow and setting clear expectations on what libraries we will consider once we’re ready.

In this blog post, we will discuss how we arrived at the decision to support third-party Rust libraries at this time, and not broader usage of Rust in Chromium.

Why We Chose to Bring Rust into Chromium

Our goal in bringing Rust into Chromium is to provide a simpler (no IPC) and safer (less complex C++ overall, no memory safety bugs in a sandbox either) way to satisfy the rule of two, in order to speed up development (less code to write, less design docs, less security review) and improve the security (increasing the number of lines of code without memory safety bugs, decreasing the bug density of code) of Chrome. And we believe that we can use third-party Rust libraries to work toward this goal.

Rust was developed by Mozilla specifically for use in writing a browser, so it’s very fitting that Chromium would finally begin to rely on this technology too. Thank you Mozilla for your huge contribution to the systems software industry. Rust has been an incredible proof that we should be able to expect a language to provide safety while also being performant.

We know that C++ and Rust can play together nicely, through tools like cxx, autocxx bindgen, cbindgen, diplomat, and (experimental) crubit. However there are also limitations. We can expect that the shape of these limitations will change in time through new or improved tools, but the decisions and descriptions here are based on the current state of technology.

How Chromium Will Support the Use of Rust

The Chrome Security team has been investing time into researching how we should approach using Rust alongside our C++ code. Understanding the implications of incrementally moving to writing Rust instead of C++, even in the middle of our software stack. What the limits of safe, simple, and reliable interop might be.

Based on our research, we landed on two outcomes for Chromium.

  1. We will support interop in only a single direction, from C++ to Rust, for now. Chromium is written in C++, and the majority of stack frames are in C++ code, right from main() until exit(), which is why we chose this direction. By limiting interop to a single direction, we control the shape of the dependency tree. Rust can not depend on C++ so it cannot know about C++ types and functions, except through dependency injection. In this way, Rust can not land in arbitrary C++ code, only in functions passed through the API from C++.
  2. We will only support third-party libraries for now. Third-party libraries are written as standalone components, they don’t hold implicit knowledge about the implementation of Chromium. This means they have APIs that are simpler and focused on their single task. Or, put another way, they typically have a narrow interface, without complex pointer graphs and shared ownership. We will be reviewing libraries that we bring in for C++ use to ensure they fit this expectation.

The Interop Between Rust and C++ in Chromium

We have observed that most successful C/C++ and Rust interop stories to date have been built around interop through narrow APIs (e.g. libraries for QUIC or bluetooth, Linux drivers) or through clearly isolated components (e.g. IDLs, IPCs). Chrome is built on foundational but really wide C++ APIs, such as the //content/public layer. We examined what it would mean for us to build Rust components against these types of APIs. At a high level what we found was that because C++ and Rust play by different rules, things can go sideways very easily.

For example, Rust guarantees temporal memory safety with static analysis that relies on two inputs: lifetimes (inferred or explicitly written) and exclusive mutability. The latter is incompatible with how the majority of Chromium’s C++ is written. We hold redundant mutable pointers throughout the system, and pointers that provide multiple paths to reach mutable pointers. We have cyclical mutable data structures. This is especially true in our browser process, which contains a giant interconnected system of (mutable) pointers. If these C++ pointers were also used as Rust references in a complex or long-lived way, it would require our C++ authors to understand the aliasing rules of Rust and prevent the possibility of violating them, such as by:

  • Returning the same mutable pointer from a function twice, where the first may still be held.
  • Passing overlapping pointers where one is mutable into Rust, in a way that they may be held as references at the same time.
  • Mutating state that is visible to Rust through a shared or mutable reference.

Without interop tools providing support via the compiler and the type system, developers would need to understand all of the assumptions being made by Rust compiler, in order to not violate them from C++. In this framing, C++ is much like unsafe Rust. And while unsafe Rust is very costly to a project, its cost is managed by keeping it encapsulated and to the minimum possible. In the same way, the full complexity of C++ would need to be encapsulated from safe Rust. Narrow APIs designed for interop can provide similar encapsulation, and we hope that interop tools can provide encapsulation in other ways that allow wider APIs between the languages.

The high-level summary is that without additional interop tooling support:

  • Passing pointers/references across languages is risky.
  • Narrow interfaces between the languages is critical to make it feasible to write code correctly.

Any cross-language interop between arbitrary code introduces difficulties where concepts in one language are not found in the other. For Rust calling into C++, support for language features like templates or inheritance can be difficult for a binding generator to support. For C++ calling into Rust, proc macros, and traits are examples that provide similar challenges. At times, the impedance mismatch represents intentional design choices made for either language, however they also imply limits on FFI (interop) between the languages. We rely on interop tools to model the ideas of each language in a way that makes sense to the other, or to disallow them.

Accessing the Rust Ecosystem from Chromium

These challenges present an opportunity, both to make interop easier and more seamless, but also to get access to a wider range of libraries from either language. Google is investing in Crubit, an experiment in how to increase the fidelity of interop between C++ and Rust and express or encapsulate the requirements of each language to the other.

The Rust ecosystem is incredibly important, especially to a security-focused open source project like Chromium. The ecosystem is enormous (96k+ crates on crates.io) and growing, with investment from the systems development industry at large, including Google. Chrome relies heavily on third-party code, and we need to keep up with where that third-party investment is happening. It is critical that we build out support for including Rust into the Chromium project.

We will be following this strategy to establish norms, and to maintain a level of API review through the third-party process, while we look to the future of interop support pushing the boundaries of what is possible and reasonable to do between Rust and C++.


Some Other Related Content

Memory unsafety is an industry-wide problem, and making use of Rust is one part of a strategy to move the needle in this area. Recently, Android and Apple have each published a great blog post on the subject if you’re interested in learning more. With Chrome’s millions of lines of C++, we’re still working hard to improve the safety of our C++ too, through projects such as MiraclePtr.

Expanding the App Defense Alliance

The App Defense Alliance launched in 2019 with a mission to protect Android users from bad apps through shared intelligence and coordinated detection between alliance partners. Earlier this year, the App Defense Alliance expanded to include new initiatives outside of malware detection and is now the home for several industry-led collaborations including Malware Mitigation, MASA (Mobile App Security Assessment) & CASA (Cloud App Security Assessment). With a new dedicated landing page at appdefensealliance.dev, the ADA has an expanded mission to protect Android users by removing threats while improving app quality across the ecosystem. Let’s walk through some of the latest program updates from the past year, including the addition of new ADA members.

Malware Mitigation

Together, with the founding ADA members - Google, ESET, Lookout, and Zimperium, the alliance has been able to reduce the risk of app-based malware and better protect Android users. These partners have access to mobile apps as they are being submitted to the Google Play Store and scan thousands of apps daily, acting as another, vital set of eyes prior to an app going live on Play. Knowledge sharing and industry collaboration are important aspects in securing the world from attacks and that’s why we’re continuing to invest in the program.


New ADA Members

We’re excited to see the ADA expand with the additions of McAfee and Trend Micro. Both McAfee and Trend Micro are leaders in the antivirus space and we look forward to their contributions to the program.

Mobile App Security Assessment (MASA)

With consumers spending four to five hours per day in mobile apps, ensuring the safety of these services is more important than ever. According to Data.ai, the pandemic accelerated existing mobile habits - with app categories like finance growing 25% YoY and users spending over 100 billion hours in shopping apps.

That’s why the ADA introduced MASA (Mobile App Security Assessment), which allows developers to have their apps independently validated against the Mobile Application Security Verification Standard (MASVS standard) under the OWASP Mobile Application Security project. The project’s mission is to “Define the industry standard for mobile application security,” and has been used by both public and private sector organizations as a form of industry best practices when it comes to mobile application security. Developers can work directly with an ADA Authorized Lab to have their apps evaluated against a set of MASVS L1 requirements. Once successful, the app’s validation is listed in the recently launched App Validation Directory, which provides users a single place to view all app validations. The Directory also allows users to access more assessment details including validation date, test lab, and a report showing all test steps and requirements. The Directory will be updated over time with new features and search functionality to make it more user friendly.

The Google Play Store is the first commercial app store to recognize and display a badge for any app that has completed an independent security review through ADA MASA. The badge is displayed within an app’s respective Data Safety section.

This MASA program launched in beta earlier this year and is now available for all developers. We’ve seen strong early developer interest with leading apps across a diverse set of categories completing validation including Roblox, Uber, PayPal, Threema, Google Photos, YouTube and many more. On average, developers have completed validation within a month and resolved two outstanding issues identified by a security lab.

To learn more about the program and to help developers get started, there’s a Play Academy course dedicated to independent security review. Check out the interactive guidance on the Academy for App Success and get started today!

Cloud App Security Assessment (CASA)

As the industry continues to evolve and software connects more systems through complex cloud-to-cloud integrations, focusing on the security of cloud applications and their supporting infrastructure becomes increasingly critical. CASA (Cloud App Security Assessment) leverages the work set forth in OWASP’s Application Security Verification Standard ASVS to provide a consistent set of requirements to harden security for any application. The CASA framework provides multiple assurance levels in which low-risk cloud applications can be evaluated using either a self assessment or automated scan. For applications which present higher risk (such as a large user base, recent security breach, or processes highly sensitive data), an Authorized Lab may perform an assessment.

Further, the CASA accelerator provides developers with a workflow that minimizes the required checks depending on the developer's current valid certifications. The CASA checks have been mapped to 10 certifications and frameworks which eliminate redundant testing while lowering the cost of the assessment. Google is continuing to invest in this space with plans to use ASVS more proactively with the developer community next year.

It's been amazing to see the ADA grow this year and we are excited for the continued progress and expansion around the alliance’s mission.

Trust in transparency: Private Compute Core

We care deeply about privacy. We also know that trust is built by transparency. This blog, and the technical paper reference within, is an example of that commitment: we describe an important new Android privacy infrastructure called Private Compute Core (PCC).

Some of our most exciting machine learning features use continuous sensing data — information from the microphone, camera, and screen. These features keep you safe, help you communicate, and facilitate stronger connections with people you care about. To unlock this new generation of innovative concepts, we built a specialized sandbox to privately process and protect this data.

Android Private Compute Core

PCC is a secure, isolated data processing environment inside of the Android operating system that gives you control of the data inside, such as deciding if, how, and when it is shared with others. This way, PCC can enable features like Live Translate without sharing continuous sensing data with service providers, including Google.

PCC is part of Protected Computing, a toolkit of technologies that transform how, when, and where data is processed to technically ensure its privacy and safety. For example, by employing cloud enclaves, edge processing, or end-to-end encryption we ensure sensitive data remains in exclusive control of the user.

How Private Compute Core works

PCC is designed to enable innovative features while keeping the data needed for them confidential from other subsystems. We do this by using techniques such as limiting Interprocess Communications (IPC) binds and using isolated processes. These are included as part of the Android Open Source Project and controlled by publicly available surfaces, such as Android framework APIs. For features that run inside PCC, continuous sensing data is processed safely and seamlessly while keeping it confidential.

To stay useful, any machine learning feature has to get better over time. To keep the models that power PCC features up to date, while still keeping the data private, we leverage federated learning and analytics. Network calls to improve the performance of these models can be monitored using Private Compute Services.

Let us show you our work

The publicly-verifiable architectures in PCC demonstrate how we strive to deliver confidentiality and control, and do it in a way that is verifiable and visible to users. In addition to this blog, we provide this transparency through public documentation and open-source code — we hope you'll have a look below.

To explain in even more detail, we’ve published a technical whitepaper for researchers and interested members of the community. In it, we describe data protections in-depth, the processes and mechanisms we’ve built, and include diagrams of the privacy structures for continuous sensing features.

Private Compute Services was recently open-sourced as well, and we invite our Android community to inspect the code that controls the data management and egress policies. We hope you'll examine and report back on PCC's implementation, so that our own documentation is not the only source of analysis.

Our commitment to transparency

Being transparent and engaged with users, developers, researchers, and technologists around the world is part of what makes Android special and, we think, more trustworthy. The paradigm of distributed trust, where credibility is built up from verification by multiple trusted sources, continues to extend this core value. Open sourcing the mechanisms for data protection and processes is one step towards making privacy verifiable. The next step is verification by the community — and we hope you'll join in.

We'll continue sharing our progress and look forward to hearing feedback from our users and community on the evolution of Private Compute Core and data privacy at Google.

Enhanced Protection – The strongest level of Safe Browsing protection Google Chrome has to offer

As a follow-up to a previous blog post about How Hash-Based Safe Browsing Works in Google Chrome, we wanted to provide more details about Safe Browsing’s Enhanced Protection mode in Chrome. Specifically, how it came about, the protections that are offered and what it means for your data.

Security and privacy have always been top of mind for Chrome. Our goal is to make security effortless for you while browsing the web, so that you can go about your day without having to worry about the links that you click on or the files that you download. This is why Safe Browsing’s phishing and malware protections have been a core part of Chrome since 2007. You may have seen these in action if you have ever come across one of our red warning pages.

We show these warnings whenever we believe a site that you are trying to visit or file that you are trying to download might put you at risk for an attack. To give you a better understanding of how the Enhanced Protection mode in Safe Browsing provides the strongest level of defense it’s useful to know what is offered in Standard Protection.

Standard Protection

Enabled by default in Chrome, Standard Protection was designed to be privacy preserving at its core by using hash-based checks. This has been effective at protecting users by warning millions of users about dangerous websites. However, hash-based checks are inherently limited as they rely on lookups to a list of known bad sites. We see malicious actors moving fast and constantly evolving their tactics to avoid detection using sophisticated techniques. To counter this, we created a stronger and more customized level of protection that we could offer to users. To this end, we launched Enhanced Protection in 2020, which builds upon the Standard Protection mode in Safe Browsing to keep you safer.

Enhanced Protection

This is the fastest and strongest level of protection against dangerous sites and downloads that Safe Browsing offers in Chrome. It enables more advanced detection techniques that adapt quickly as malicious activity evolves. As a result, Enhanced Protection users are phished 20-35% less than users on Standard Protection. A few of these features include:

  • Real time URL checks: By checking with Google Safe Browsing’s servers in real time before navigating to an uncommon site you’re visiting, Chrome provides the best protection against dangerous sites and uses advanced machine learning models to continuously stay up to date.
  • File checks before downloading: In addition to Chrome’s standard checks of downloaded files, Enhanced Protection users can choose to upload suspicious files to be scanned by Google Safe Browsing’s full suite of malware detection technology before opening the file. This helps catch brand new malware that Safe Browsing has not scanned before or dangerous files hosted on a brand new site.
  • More advanced vision-based phishing detection: To better detect phishing and dangerous sites for Enhanced Protection users, Chrome performs basic client-side checks on the web page to determine if it is suspicious. For pages deemed suspicious, Chrome sends a small set of visual features derived from the page to Google’s Safe Browsing servers for additional phishing classification using computer vision. This helps Chrome more accurately recognize dangerous sites, and can warn other users before they visit the site.

    User data privacy and security

    By opting into Enhanced Protection, you are sharing additional data with Safe Browsing systems that allow us to offer better and faster security both for you, and for all users online. Ensuring user privacy is of utmost importance for us and we go through great lengths to anonymize as much of the data as possible. This data is only used for security purposes and only retained for a short period of time. As threats evolve we will continuously add and improve our existing protections for Enhanced Protection users. These features go through extensive privacy reviews to ensure that your privacy continues to be prioritized while still providing you the highest level of security possible.

    How to enable

    Safe Browsing’s Enhanced Protection is currently available for all desktop platforms, Android devices and now iOS mobile devices. It can be enabled by navigating to the Privacy and Security option located in Chrome settings.

    For enterprise admins, you have the option of enabling Enhanced Safe Browsing on your managed devices using the SafeBrowsingProtectionLevel policy and in the Admin Console.

    For more details and updates about Safe Browsing and its Enhanced Protection mode, please visit our Google Safe Browsing website and follow the Google Security Blog for updates on new features.

Memory Safe Languages in Android 13

For more than a decade, memory safety vulnerabilities have consistently represented more than 65% of vulnerabilities across products, and across the industry. On Android, we’re now seeing something different - a significant drop in memory safety vulnerabilities and an associated drop in the severity of our vulnerabilities.

Looking at vulnerabilities reported in the Android security bulletin, which includes critical/high severity vulnerabilities reported through our vulnerability rewards program (VRP) and vulnerabilities reported internally, we see that the number of memory safety vulnerabilities have dropped considerably over the past few years/releases. From 2019 to 2022 the annual number of memory safety vulnerabilities dropped from 223 down to 85.

This drop coincides with a shift in programming language usage away from memory unsafe languages. Android 13 is the first Android release where a majority of new code added to the release is in a memory safe language.

As the amount of new memory-unsafe code entering Android has decreased, so too has the number of memory safety vulnerabilities. From 2019 to 2022 it has dropped from 76% down to 35% of Android’s total vulnerabilities. 2022 is the first year where memory safety vulnerabilities do not represent a majority of Android’s vulnerabilities.

While correlation doesn’t necessarily mean causation, it’s interesting to note that the percent of vulnerabilities caused by memory safety issues seems to correlate rather closely with the development language that’s used for new code. This matches the expectations published in our blog post 2 years ago about the age of memory safety vulnerabilities and why our focus should be on new code, not rewriting existing components. Of course there may be other contributing factors or alternative explanations. However, the shift is a major departure from industry-wide trends that have persisted for more than a decade (and likely longer) despite substantial investments in improvements to memory unsafe languages.

We continue to invest in tools to improve the safety of our C/C++. Over the past few releases we’ve introduced the Scudo hardened allocator, HWASAN, GWP-ASAN, and KFENCE on production Android devices. We’ve also increased our fuzzing coverage on our existing code base. Vulnerabilities found using these tools contributed both to prevention of vulnerabilities in new code as well as vulnerabilities found in old code that are included in the above evaluation. These are important tools, and critically important for our C/C++ code. However, these alone do not account for the large shift in vulnerabilities that we’re seeing, and other projects that have deployed these technologies have not seen a major shift in their vulnerability composition. We believe Android’s ongoing shift from memory-unsafe to memory-safe languages is a major factor.

Rust for Native Code

In Android 12 we announced support for the Rust programming language in the Android platform as a memory-safe alternative to C/C++. Since then we’ve been scaling up our Rust experience and usage within the Android Open Source Project (AOSP).

As we noted in the original announcement, our goal is not to convert existing C/C++ to Rust, but rather to shift development of new code to memory safe languages over time.

In Android 13, about 21% of all new native code (C/C++/Rust) is in Rust. There are approximately 1.5 million total lines of Rust code in AOSP across new functionality and components such as Keystore2, the new Ultra-wideband (UWB) stack, DNS-over-HTTP3, Android’s Virtualization framework (AVF), and various other components and their open source dependencies. These are low-level components that require a systems language which otherwise would have been implemented in C++.

Security impact

To date, there have been zero memory safety vulnerabilities discovered in Android’s Rust code.


We don’t expect that number to stay zero forever, but given the volume of new Rust code across two Android releases, and the security-sensitive components where it’s being used, it’s a significant result. It demonstrates that Rust is fulfilling its intended purpose of preventing Android’s most common source of vulnerabilities. Historical vulnerability density is greater than 1/kLOC (1 vulnerability per thousand lines of code) in many of Android’s C/C++ components (e.g. media, Bluetooth, NFC, etc). Based on this historical vulnerability density, it’s likely that using Rust has already prevented hundreds of vulnerabilities from reaching production.

What about unsafe Rust?

Operating system development requires accessing resources that the compiler cannot reason about. For memory-safe languages this means that an escape hatch is required to do systems programming. For Java, Android uses JNI to access low-level resources. When using JNI, care must be taken to avoid introducing unsafe behavior. Fortunately, it has proven significantly simpler to review small snippets of C/C++ for safety than entire programs. There are no pure Java processes in Android. It’s all built on top of JNI. Despite that, memory safety vulnerabilities are exceptionally rare in our Java code.

Rust likewise has the unsafe{} escape hatch which allows interacting with system resources and non-Rust code. Much like with Java + JNI, using this escape hatch comes with additional scrutiny. But like Java, our Rust code is proving to be significantly safer than pure C/C++ implementations. Let’s look at the new UWB stack as an example.

There are exactly two uses of unsafe in the UWB code: one to materialize a reference to a Rust object stored inside a Java object, and another for the teardown of the same. Unsafe was actively helpful in this situation because the extra attention on this code allowed us to discover a possible race condition and guard against it.

In general, use of unsafe in Android’s Rust appears to be working as intended. It’s used rarely, and when it is used, it’s encapsulating behavior that’s easier to reason about and review for safety.

Safety measures make memory-unsafe languages slow

Mobile devices have limited resources and we’re always trying to make better use of them to provide users with a better experience (for example, by optimizing performance, improving battery life, and reducing lag). Using memory unsafe code often means that we have to make tradeoffs between security and performance, such as adding additional sandboxing, sanitizers, runtime mitigations, and hardware protections. Unfortunately, these all negatively impact code size, memory, and performance.

Using Rust in Android allows us to optimize both security and system health with fewer compromises. For example, with the new UWB stack we were able to save several megabytes of memory and avoid some IPC latency by running it within an existing process. The new DNS-over-HTTP/3 implementation uses fewer threads to perform the same amount of work by using Rust’s async/await feature to process many tasks on a single thread in a safe manner.

What about non-memory-safety vulnerabilities?

The number of vulnerabilities reported in the bulletin has stayed somewhat steady over the past 4 years at around 20 per month, even as the number of memory safety vulnerabilities has gone down significantly. So, what gives? A few thoughts on that.

A drop in severity

Memory safety vulnerabilities disproportionately represent our most severe vulnerabilities. In 2022, despite only representing 36% of vulnerabilities in the security bulletin, memory-safety vulnerabilities accounted for 86% of our critical severity security vulnerabilities, our highest rating, and 89% of our remotely exploitable vulnerabilities. Over the past few years, memory safety vulnerabilities have accounted for 78% of confirmed exploited “in-the-wild” vulnerabilities on Android devices.

Many vulnerabilities have a well defined scope of impact. For example, a permissions bypass vulnerability generally grants access to a specific set of information or resources and is generally only reachable if code is already running on the device. Memory safety vulnerabilities tend to be much more versatile. Getting code execution in a process grants access not just to a specific resource, but everything that that process has access to, including attack surface to other processes. Memory safety vulnerabilities are often flexible enough to allow chaining multiple vulnerabilities together. The high versatility is perhaps one reason why the vast majority of exploit chains that we have seen use one or more memory safety vulnerabilities.

With the drop in memory safety vulnerabilities, we’re seeing a corresponding drop in vulnerability severity.



With the decrease in our most severe vulnerabilities, we’re seeing increased reports of less severe vulnerability types. For example, about 15% of vulnerabilities in 2022 are DoS vulnerabilities (requiring a factory reset of the device). This represents a drop in security risk.

Android appreciates our security research community and all contributions made to the Android VRP. We apply higher payouts for more severe vulnerabilities to ensure that incentives are aligned with vulnerability risk. As we make it harder to find and exploit memory safety vulnerabilities, security researchers are pivoting their focus towards other vulnerability types. Perhaps the total number of vulnerabilities found is primarily constrained by the total researcher time devoted to finding them. Or perhaps there’s another explanation that we have not considered. In any case, we hope that if our vulnerability researcher community is finding fewer of these powerful and versatile vulnerabilities, the same applies to adversaries.

Attack surface

Despite most of the existing code in Android being in C/C++, most of Android’s API surface is implemented in Java. This means that Java is disproportionately represented in the OS’s attack surface that is reachable by apps. This provides an important security property: most of the attack surface that’s reachable by apps isn’t susceptible to memory corruption bugs. It also means that we would expect Java to be over-represented when looking at non-memory safety vulnerabilities. It’s important to note however that types of vulnerabilities that we’re seeing in Java are largely logic bugs, and as mentioned above, generally lower in severity. Going forward, we will be exploring how Rust’s richer type system can help prevent common types of logic bugs as well.

Google’s ability to react

With the vulnerability types we’re seeing now, Google’s ability to detect and prevent misuse is considerably better. Apps are scanned to help detect misuse of APIs before being published on the Play store and Google Play Protect warns users if they have abusive apps installed.

What’s next?

Migrating away from C/C++ is challenging, but we’re making progress. Rust use is growing in the Android platform, but that’s not the end of the story. To meet the goals of improving security, stability, and quality Android-wide, we need to be able to use Rust anywhere in the codebase that native code is required. We’re implementing userspace HALs in Rust. We’re adding support for Rust in Trusted Applications. We’ve migrated VM firmware in the Android Virtualization Framework to Rust. With support for Rust landing in Linux 6.1 we’re excited to bring memory-safety to the kernel, starting with kernel drivers.

As Android migrates away from C/C++ to Java/Kotlin/Rust, we expect the number of memory safety vulnerabilities to continue to fall. Here’s to a future where memory corruption bugs on Android are rare!

Our Principles for IoT Security Labeling

We believe that security and transparency are paramount pillars for electronic products connected to the Internet. Over the past year, we’ve been excited to see more focused activity across policymakers, industry partners, developers, and public interest advocates around raising the security and transparency bar for IoT products.

That said, the details of IoT product labeling - the definition of labeling, what labeling needs to convey in terms of security and privacy, where the label should reside, and how to achieve consumer acceptance, are still open for debate. Google has also been considering these core questions for a long time. As an operating system, IoT product provider, and the maintainer of multiple large ecosystems, we see firsthand how critical these details will be to the future of the IoT. In an effort to be a catalyst for collaboration and transparency, today we’re sharing our proposed list of principles around IoT security labeling.

Setting the Stage: Defining IoT Labeling

IoT labeling is a complex and nuanced topic, so as an industry, we should first align on a set of labeling definitions that could help reduce potential fragmentation and offer a harmonized approach that could drive a desired outcome:

  • Label: printed and/or digital representation of a digital product’s security and/or privacy status intended to inform consumers and/or other stakeholders. A label may include both printed and digital representations; for example, a printed label may include a logo and QR code that references a digital representation of the security claims being made.
  • Labeling scheme: a program that defines, manages, and monitors the use of labels, including but not limited to user experience, adherence to specific standards or security profiles, and lifecycle management of the label (e.g. decommissioning)
  • Evaluation scheme: a program that publishes, manages, and monitors the security claims of digital products against security requirements and related standards; labeling schemes may rely on evaluation schemes to produce the information referred to in or by their labels.

Proposed Principles for IoT Security Labeling Schemes

We believe in five core principles for IoT labeling schemes. These principles will help increase transparency against the full baseline of security criteria for IoT. These principles will also increase competition in security and push manufacturers to offer products with effective security protections, increase transparency, and help generate higher levels of assurance of protection over time.

1. A printed label must not imply trust

Unlike food labels, digital security labels must be “live” labels, where security/privacy status is conveyed on a central maintained website, which ideally would be the same site hosting the evaluation scheme. A physical label, either printed on a box or visible in an app, can be used if and only if it encourages users to visit the website (e.g. scan a QR code or click a link) to obtain the real-time status.

At any point in time, a digital product may become unsafe for use. For example, if a critical, in-the-wild, remote exploit of a product is discovered and cannot be mitigated (e.g. via a patch), then it may be necessary to change that product’s status from safe to unsafe.

Printed labels, if they convey trust implicitly such as, “certified to NNN standard” or, “3 stars”, run the danger of influencing consumers to make harmful decisions. A consumer may purchase a webcam with a “3-star” security label only to find when they return home the product has non-mitigatable vulnerabilities that make it unsafe. Or, a product may sit on a shelf long enough to become non-compliant or unsafe. Labeling programs should help consumers make better security decisions. The dangers around a printed “trust me” label will in some circumstances, mislead consumers.

2. Labels must reference strong international evaluation schemes

The challenge of utilizing a labeling scheme is not the physical manifestation of the label but rather ensuring that the label references a security/privacy status/posture that is maintained by a trustworthy security/privacy evaluation scheme, such as the ones being developed by the Connectivity Standards Alliance (CSA) and GSMA. Both of these organizations are actively developing IoT security/privacy evaluation schemes that reference well-regarded standards, including recent IoT baseline security guidance from NIST, ETSI, ISO, and OWASP. Some important requirements for evaluation schemes leveraged by a national labeling program include:

Strong governance: The NGO must have strong governance. For example, NGOs that house both a scheme and their own in-house evaluation lab introduce potential conflicts of interest that should be avoided.

Strong track record for managing evaluation schemes at scale: Managing a high quality, global scheme is hard. National authorities have struggled at this for many years, especially in the consumer realm. An NGO that has no prior track record of managing a scheme with significant global adoption is unlikely to be sufficiently trustworthy for a national labeling scheme to reference. CSA and GSMA have long track records of managing global schemes that have stood the test of time.

Choice with a high quality bar: The world needs a small set of high quality evaluation schemes that can act as the hub within a hub and spoke model for enabling national labeling schemes across the globe. Evaluation schemes will authorize a range of labs for lab-tested results, providing price competition for lab engagements. We need more than one scheme to encourage competition among evaluation schemes, as they too will levy fees for membership, certification, and monitoring. However, balance is key, as too many schemes could be challenging for governments to monitor and trust. Setting a high bar for governance and track record, as described above, will help curate global evaluation scheme choices.

International participation: National labeling schemes must recognize that many manufacturers sell products across the world. A national label that does not reference NGOs that serve the global community will force multiple inconsistent national labeling schemes that are prohibitively expensive for small and medium size product developers. Misaligned or non-harmonized national efforts may become a significant barrier to entry for smaller vendors and run counter to the intended goals of competition-enhancing policies in their respective markets.

Assurance maintenance: The NGO evaluation scheme must provide a mechanism for independent researchers to pressure test conformance claims made by manufacturers. Moment-in-time certifications have historically plagued security evaluation schemes, and for cost reasons, forced annual re-certifications are not the answer either. For the vast majority of consumer products, we should rely on crowdsourced research to identify weaknesses that may question a certification result. This approach has succeeded in helping to maintain the security of numerous global products and platforms and is especially needed to help monitor the results of self-attestation certifications that will be needed in any national scale labeling program. This is also an area where federal funding may be most needed; security bounty programs will add even more incentive for the security community to pressure test evaluation scheme results and hold the entire labeling program supply chain accountable. These reward programs are also a great way to recruit more people into the cybersecurity field.

3. A minimum security baseline must be coupled with security transparency

A minimum security baseline must be coupled with security transparency to accelerate ecosystem improvements. Security labeling is nascent, and most schemes are focused on common sense baseline requirement standards. These standards will set an important minimum bar for digital security, reducing the likelihood that consumers will be exposed to truly poor security practices. However, we should never say things like, “we need a labeling scheme to ensure that digital products are secure.” Security is not a binary state. Applying a minimum set of best practices will not magically make a product free of vulnerabilities. But it will discourage the most common security foibles. Furthermore, it is folly to expect that baseline security standards will protect against advanced persistent threat actors. Rather, they’ll hopefully provide broad protection against common opportunistic attackers. The Mirai botnet attack was so successful because so many digital products lack the most rudimentary security functionality: the ability to apply a security update in the field.

Over time we need to do better. Security evaluation schemes need to be sufficiently flexible to allow for additional security functional requirements to be measured and rated across products. For example, the current baseline security requirements do not cover things like the strength of a biometric authenticator (important for phones and a growing range of consumer digital products) nor do they provide a standardized method for comparing the relative strength of security update policies (e.g. a product that receives regular updates for five years should be valued more highly by consumers than one that receives updates for two years). Communities that focus on specific vertical markets of product families are motivated to create security functional requirement profiles (and labels) that go above and beyond the baseline and are more tailored for that product category. Labeling schemes must allow for this flexibility, as long as profile compliance is managed by high quality evaluation schemes.

Similarly, in addition to functionality such as biometrics and update frequency, labels need to allow for assurance levels, which answer the question, “how much confidence should we have in this product’s security functionality claims?” For example, emerging consumer evaluation schemes may permit a self-attestation of conformance or a lab test that validates basic security functionality. These kinds of attestations yield relatively low assurance, but still better than none. Today’s schemes do not allow for an assessment that emulates a high potential attacker trying to break the system’s security functionality. To date, due to cost and complexity, high potential attacker vulnerability assessments have been limited to a vanishingly small number of products, including secure elements and small hypervisors. Yet for a nation’s most critical systems, such as connected medical devices, cars, and applications that manage sensitive data for millions of consumers, a higher level of assurance will be needed, and any labeling scheme must not preclude future extensions that offer higher levels of assurance.

4. Broad-based transparency is just as important as the minimum bar

While it is desirable that labeling schemes provide consumers with simple guidance on safety, the desire for such a simple bar forces it to be the lowest common denominator for security capability so as not to preclude large portions of the market. It is equally important that labeling schemes increase transparency in security. So much of the discussion around labeling schemes has focused on selecting the best possible minimum bar rather than promoting transparency of security capability, regardless of what minimum bar a product may meet. This is short-sighted and fails to learn from many other consumer rating schemes (e.g. Consumer Reports) that have successfully provided transparency around a much wider range of product capabilities over time.

Again, while a common baseline is a good place to start, we must also encourage the use of more comprehensive requirement specifications developed by high-quality NGO standards bodies and/or schemes against which products can be assessed. The goal of this method is not to mandate every requirement above the baseline, but rather to mandate transparency of compliance against those requirements. Similar to many other consumer rating schemes, the transparency across a wide range of important capabilities (e.g. the biometrics example above) will enable easy side-by-side comparison during purchasing decisions, which will act as the tide to raise all boats, driving product developers to compete with each other in security. This already happens with speeds and feeds, battery life, energy consumption, and many other features that people care about. For example, the requirement for transparency could classify the strength of the biometric based on spoof / presentation attack detection rate, which we measure for Android. If we develop more comprehensive transparency in our labeling scheme, consumers will learn and care about a wider range of security capabilities that today remain below the veil; that awareness will drive demand for product developers to do better.

5. Labeling schemes are useless without adoption incentive

Transparency is the core concept that can raise demand and improve supply of better security across the IoT. However, what will cause products to be evaluated so that security capability data will be published and made easily consumable? After thirty years of the world wide web and connected digital technology, it is clear that simply expecting product developers to “do the right thing” for security is insufficient.

“Voluntary” regimes will attract the same developers that are already doing good security work and depend on doing so for their customers and brands. Security is, on average, poor across the IoT market because product developers optimize for profitability, and the economic impact of poor security is usually not sufficiently high to move the needle. Many avenues can lead to increased economic incentives for improved security. That means a mix of carrots and sticks will be necessary to incentivize developers to increase the security of their products.

National labeling schemes should focus on a few of the biggest market movers, in order of decreasing impact:

National mandate: Some national governments are moving towards legislation or executive orders that will require common baseline security requirements to be met, with corresponding labeling to differentiate compliant products from those not covered by the mandate. National mandates can drive improved behavior at scale. However, mandating a poor labeling scheme can do more harm than good. For example, if every nation creates a bespoke evaluation scheme, small and medium size developers would be priced out of the market due to the need to recertify and label their products across all these schemes. Not only will non-harmonized approaches harm industry financially, it will also inhibit innovation as developers create less inclusive products to avoid nations with painful labeling regimes.

National mandates and labeling schemes must reference broadly applicable, high quality, NGO standards and schemes (as described above) so that they can be reused across multiple national labeling schemes. Global normalization and cross-recognition is not a nice-to-have, national schemes will fail if they do not solve for this important economic reality upfront. Ideally, government officials who care about a successful national labeling scheme should be involved to nurture and guide the NGO schemes that are trying to solve this problem globally.

Retailers: Retailers of digital products could have a huge impact by preferencing baseline standards compliance for digital products. In its most impactful form, the retailer would mandate compliance for all products listed for sale. The larger the retailer, the more impact is possible. Less broad, but still extremely impactful, would be providing visual labeling and/or search and discovery preferences for products that meet the requirements specified in high quality security evaluation schemes.

Platform developers: Many digital products exist as part of platforms, such as devices built on the Android Open Source Project (AOSP) platform or apps published on the Google Play app store platform. In addition, interoperability standards such as Matter and Bluetooth act as platforms, certifying products that meet those interoperability standards. All of these platform developers may use security compliance within larger certification, compliance, and business incentive programs that can drive adoption at

scale. The impact depends on the size and scale of the platform and whether the carrots provided by platform providers are sufficiently attractive.

Continuing to Strive For Collaboration, Standardization, and Transparency

Our goal is to increase transparency against the full baseline of security criteria for the IoT over time. This will help drive “competition” in security and push manufacturers to offer products with more robust security protections. But we don’t want to stop at just increasing transparency. We will also strive to build realistic higher levels of assurance. As labeling efforts gain steam, we are hopeful that public sector and industry can work together to drive global harmonization to prevent fragmentation, and we hope to provide our expertise and act as a valued partner to governments as they develop policies to help their countries stay ahead of the latest threats in IoT. We look forward to our continued partnership with governments and industry to reduce complexity and increase innovation while improving global cybersecurity.

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See also: Google testimony on security labeling and evaluation schemes in UK Parliament
See also: Google participated in a White House strategic discussion on IoT Security Labeling