The Register: Tested: Microsoft Recall can still capture credit cards and passwords, a treasure trove for crooks

Source URL: https://www.theregister.com/2025/08/01/microsoft_recall_captures_credit_card_info/
Source: The Register
Title: Tested: Microsoft Recall can still capture credit cards and passwords, a treasure trove for crooks

Feedly Summary: Our tests have shown there are ways to get around the promised security improvements
exclusive Microsoft Recall, the AI app that takes screenshots of what you do on your PC so you can search for it later, has a filter that’s supposed to prevent it from screenshotting sensitive info like credit card numbers. But a The Register test shows that it still fails in many cases, creating a potential treasure trove for thieves.…

AI Summary and Description: Yes

Summary: The text discusses vulnerabilities in Microsoft’s AI application, Recall, specifically related to its security filters intended to protect sensitive information. This highlights critical issues around the security of AI solutions, particularly in how they handle personal and sensitive data.

Detailed Description:
This content addresses significant concerns regarding the security and privacy implications of AI applications, particularly those that handle sensitive data. Microsoft’s AI app, Recall, is designed to take screenshots for organizational purposes, but it seems to fall short in protecting sensitive information due to weaknesses in its filters.

Key Points:
– **Application Vulnerability**: Microsoft’s Recall app has a promised feature to prevent it from capturing sensitive information like credit card numbers; however, tests show that the app may still record such data, exposing users to security vulnerabilities.
– **Security Implications**: The potential for the app to leak sensitive information raises concerns about data security risks associated with AI applications, necessitating a review of security measures in AI system design.
– **Consumer Risk**: This situation may create a ‘treasure trove’ for cybercriminals, indicating the need for better security controls and practices in developing AI applications that interact with sensitive user information.
– **Importance of Testing**: The findings emphasize the importance of rigorous testing and validation of security features in AI product releases to ensure that claims about security are validated and that user data is adequately protected.

This analysis has implications for security professionals, especially those working with AI and software security. It underscores the importance of integrating robust security protocols at all stages of development and highlights the ongoing need for compliance with security standards to protect sensitive user data.