Chrome for Android Update

 Hi, everyone! We've just released Chrome 137 (137.0.7151.115) for Android. It'll become available on Google Play over the next few days. 

This release includes stability and performance improvements. You can see a full list of the changes in the Git log. If you find a new issue, please let us know by filing a bug.

Android releases contain the same security fixes as their corresponding Desktop (Windows, Mac: 137.0.7151.119/.120 and Linux: 137.0.7151.119) unless otherwise noted.

Krishna Govind

Stable Channel Update for Desktop

The Stable channel has been updated to 137.0.7151.119/.120 for Windows, Mac and 137.0.7151.119 for Linux which will roll out over the coming days/weeks. A full list of changes in this build is available in the Log.


 Security Fixes and Rewards

Note: Access to bug details and links may be kept restricted until a majority of users are updated with a fix. We will also retain restrictions if the bug exists in a third party library that other projects similarly depend on, but haven’t yet fixed.


This update includes 3 security fixes. Below, we highlight fixes that were contributed by external researchers. Please see the Chrome Security Page for more information.


[$7000][420697404] High CVE-2025-6191: Integer overflow in V8. Reported by Shaheen Fazim on 2025-05-27

[$4000][421471016] High CVE-2025-6192: Use after free in Profiler. Reported by Chaoyuan Peng (@ret2happy) on 2025-05-31


We would also like to thank all security researchers that worked with us during the development cycle to prevent security bugs from ever reaching the stable channel.

As usual, our ongoing internal security work was responsible for a wide range of fixes:

  • [425443272] Various fixes from internal audits, fuzzing and other initiatives


Many of our security bugs are detected using AddressSanitizer, MemorySanitizer, UndefinedBehaviorSanitizer, Control Flow Integrity, libFuzzer, or AFL.


Interested in switching release channels? Find out how here. If you find a new issue, please let us know by filing a bug. The community help forum is also a great place to reach out for help or learn about common issues.


Prudhvikumar Bommana
Google Chrome

Adding new admin settings to control Google Form responses

What’s changing

Following last year's announcement of form creators being able to limit Google Form response access to specific users, groups, or target audiences, we’re introducing granular admin controls for form responses. 

Specifically, admins can now independently control two distinct settings: 
  • Whether users in their domain can respond to forms created externally. 
  • Whether users in their domain can share forms with external recipients. 
This new setting may help minimize data exfiltration risks by enabling admins to implement specific security measures for Forms, independent of existing Google Drive sharing restrictions. 

Getting started 

  • Admins:
    • The Forms specific admin override will be ON by default for external sharing of forms created in the domain and for responding to forms created externally. 
    • There are two distinct override settings to control if forms created inside a domain can be shared externally for responses and whether users inside the domain can respond to external forms. These overrides can be applied to organizational units, similar to other Drive sharing policies. 
    • To control whether form owners can get responses from users outside their domain, go to the Admin console > Drive and Docs settings > “Form responses > “Allow forms owned by users in [your organization] to accept responses from anyone with the link outside [your organization], even if external sharing isn't allowed.” 
    • To control whether users in the domain are permitted to respond to forms created outside of the domain, go to the Admin console > Drive and Docs settings > “Form responses” > “Allow users in [your organization] to submit responses to forms from users or shared drives. outside of [your organization], even if receiving external files isn't allowed.” 
      • If ON, users in the domain will continue to be able to respond to external forms. 
      • If OFF, the admin setting to control whether external Drive documents can be shared into the domain will apply to Forms and form responders in your domain could be blocked from responding to external forms 
    • Visit the Help Center to learn more about managing external sharing for your organization.
  • End users: There is no end user setting for this feature. 
new admin settings to control Google Form responses

Rollout pace

Availability 

  • Available to all Google Workspace customers 

Resources 

Google Meet now offers customizable caption styling

What’s changing 

You can now customize the styling of captions in Google Meet, including the font size, font type, color, and background color. This allows for the captions to be customized in a way that works best for you. 

You can customize captions during the meeting by hovering over them or by going to Settings > Captions > Customize your captions. Your settings will persist across your meetings and can be changed at any time.

Example of customized captions in Meet

Getting started

Google Meet > Settings > Captions > Customize your captions


Rollout pace


Availability

  • Available to all Google Workspace customers, as well as users with personal Google accounts

Resources


Top 3 things to know for AI on Android at Google I/O ‘25

Posted by Kateryna Semenova – Sr. Developer Relations Engineer

AI is reshaping how users interact with their favorite apps, opening new avenues for developers to create intelligent experiences. At Google I/O, we showcased how Android is making it easier than ever for you to build smart, personalized and creative apps. And we’re committed to providing you with the tools needed to innovate across the full development stack in this evolving landscape.

This year, we focused on making AI accessible across the spectrum, from on-device processing to cloud-powered capabilities. Here are the top 3 announcements you need to know for building with AI on Android from Google I/O ‘25:

#1 Leverage the efficiency of Gemini Nano for on-device AI experiences

For on-device AI, we announced a new set of ML Kit GenAI APIs powered by Gemini Nano, our most efficient and compact model designed and optimized for running directly on mobile devices. These APIs provide high-level, easy integration for common tasks including text summarization, proofreading, rewriting content in different styles, and generating image description. Building on-device offers significant benefits such as local data processing and offline availability at no additional cost for inference. To start integrating these solutions explore the ML Kit GenAI documentation, the sample on GitHub and watch the "Gemini Nano on Android: Building with on-device GenAI" talk.

#2 Seamlessly integrate on-device ML/AI with your own custom models

The Google AI Edge platform enables building and deploying a wide range of pretrained and custom models on edge devices and supports various frameworks like TensorFlow, PyTorch, Keras, and Jax, allowing for more customization in apps. The platform now also offers improved support of on-device hardware accelerators and a new AI Edge Portal service for broad coverage of on-device benchmarking and evals. If you are looking for GenAI language models on devices where Gemini Nano is not available, you can use other open models via the MediaPipe LLM Inference API.

Serving your own custom models on-device can pose challenges related to handling large model downloads and updates, impacting the user experience. To improve this, we’ve launched Play for On-Device AI in beta. This service is designed to help developers manage custom model downloads efficiently, ensuring the right model size and speed are delivered to each Android device precisely when needed.

For more information watch “Small language models with Google AI Edge” talk.

#3 Power your Android apps with Gemini Flash, Pro and Imagen using Firebase AI Logic

For more advanced generative AI use cases, such as complex reasoning tasks, analyzing large amounts of data, processing audio or video, or generating images, you can use larger models from the Gemini Flash and Gemini Pro families, and Imagen running in the cloud. These models are well suited for scenarios requiring advanced capabilities or multimodal inputs and outputs. And since the AI inference runs in the cloud any Android device with an internet connection is supported. They are easy to integrate into your Android app by using Firebase AI Logic, which provides a simplified, secure way to access these capabilities without managing your own backend. Its SDK also includes support for conversational AI experiences using the Gemini Live API or generating custom contextual visual assets with Imagen. To learn more, check out our sample on GitHub and watch "Enhance your Android app with Gemini Pro and Flash, and Imagen" session.

These powerful AI capabilities can also be brought to life in immersive Android XR experiences. You can find corresponding documentation, samples and the technical session: "The future is now, with Compose and AI on Android XR".

Flow cahrt demonstrating Firebase AI Logic integration architecture
Figure 1: Firebase AI Logic integration architecture

Get inspired and start building with AI on Android today

We released a new open source app, Androidify, to help developers build AI-driven Android experiences using Gemini APIs, ML Kit, Jetpack Compose, CameraX, Navigation 3, and adaptive design. Users can create personalized Android bot with Gemini and Imagen via the Firebase AI Logic SDK. Additionally, it incorporates ML Kit pose detection to detect a person in the camera viewfinder. The full code sample is available on GitHub for exploration and inspiration. Discover additional AI examples in our Android AI Sample Catalog.

moving image of the Androidify app on a mobile device, showing a fair-skinned woman with blond hair wearing a red jacket with black shirt and pants and a pair of sunglasses converting into a 3D image of a droid with matching skin tone and blond hair wearing a red jacket with black shirt and pants and a pair of sunglasses
The original image and Androidifi-ed image

Choosing the right Gemini model depends on understanding your specific needs and the model's capabilities, including modality, complexity, context window, offline capability, cost, and device reach. To explore these considerations further and see all our announcements in action, check out the AI on Android at I/O ‘25 playlist on YouTube and check out our documentation.

We are excited to see what you will build with the power of Gemini!