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Threat Model Discrepancy: Google Password Manager leaks cleartext passwords via Task Switcher (Won't Fix) - Violates German BSI Standards

Hi everyone, I’m a Cybersecurity student at HFU in Germany and recently submitted a vulnerability to the Google VRP regarding the Google Password Manager on Android (tested on Pixel 8, Android 16).

The Issue: When you view a cleartext password in the app and minimize it, the app fails to apply FLAG_SECURE or blur the background. When opening the "Recent Apps" (Task Switcher), the cleartext password is fully visible in the preview, even though the app actively overlays a "Enter your screen lock" biometric prompt in the foreground. It basically renders its own secondary biometric lock completely useless.

Google's Response: Google closed the report as Won't Fix (Intended Behavior). Their threat model assumes that if an attacker has physical access to an unlocked device, it's game over.

The BSI Discrepancy: What makes this interesting is that the German Federal Office for Information Security (BSI) recently published a study on Password Managers. In their Threat Model A02 ("Attacker has temporary access to the unlocked device"), they explicitly mandate that sensitive content MUST be protected from background snapshots/screenshots. So while Google says this is intended, national security guidelines classify this as a vulnerability. (For comparison: The iOS built-in password manager instantly blurs the screen when losing focus).

Here is my PoC screenshot:
https://drive.google.com/file/d/1PTGKRpyFj_jY9S76Jlo62mSCDJ3c6uLO/view?usp=sharing
https://drive.google.com/file/d/1nIJMQbM4R17EMt9f1Ffb4UmCPYY7-GXb/view?usp=sharing

What are your thoughts on this? Should password managers protect against shoulder surfing via the Task Switcher, or is Google right to rely solely on the OS lockscreen?

submitted by /u/Onat120
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McAfee’s Scam Detector Named Webby Awards Finalist for AI Innovation

We’re excited to share that McAfee’s Scam Detector has been named a finalist in the 2026 Webby Awards. 

Recognized in the AI Experiences & Applications – Consumer Application category and named a Webby Honoree for Best Use of AI & Machine Learning, Scam Detector is being acknowledged for its effectiveness as an AI-driven consumer tool. 

This recognition of Scam Detector validates something key in research findings. According to McAfee’s 2026 State of the Scamiverse report, Americans now spend 114 hours a year trying to decide what’s real and what’s fake online. 

Scam Detector was built with this era of uncertainty in mind, designed to help people cut through confusion and identify scams as they appear. The Webby recognition reinforces to us that McAfee’s Scam Detector is doing exactly that. 

What Are the Webby Awards? 

The Webby Awards are presented by the International Academy of Digital Arts & Sciences and recognize excellence across the internet, including apps, software, AI, and digital experiences. 

Each year, thousands of entries are evaluated, with finalists representing the top work in their category globally. 

In addition to judged awards, the Webby Awards include a People’s Voice Award, which is decided by public vote. 

How McAfee’s Scam Detector Uses AI to Stop Scams 

Scam Detector is designed to help people identify scams where they’re most likely to happen, always ready to help you spot what’s real and what’s not when you least expect it. 

It uses AI to analyze and flag suspicious: 

  • Text messages and emails  
  • Links and websites  
  • QR codes  
  • Social media messages  
  • AI-generated and deepfake content  

Beyond detection, Scam Detector explains why something was flagged as risky. That transparency helps show how decisions are made, so people can quickly understand the risk and feel more confident trusting what’s flagged.

As scams become more personalized and harder to detect, this combination of automatic detection and clear guidance is critical to preventing financial loss and identity theft. 

Vote for McAfee’s Scam Detector 

Scam Detector is eligible for the Webby People’s Voice Award, which is decided by public vote. 

If you would like to support McAfee’s Scam Detector, you can vote here: https://vote.webbyawards.com/PublicVoting#/2026/ai/ai-experiences-applications/consumer-application 

Voting is open through Thursday, April 16 at 11:59 pm PDT. 

Winners will be announced on April 21, 2026. 

And a big thank you to the McAfee teams who brought Scam Detector to life and who continuously improve how Scam Detector identifies new threats and adapts to the evolving world of AI-driven scams. 

The post McAfee’s Scam Detector Named Webby Awards Finalist for AI Innovation appeared first on McAfee Blog.

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