How to scan for vulnerabilities with GitHub Security Lab’s open source AI-powered framework

GitHub Security Lab has released Taskflow Agent, an open source AI-powered framework designed to automatically detect critical security vulnerabilities including authentication bypasses, IDORs, and token leaks. The tool leverages artificial intelligence to help security teams identify high-impact flaws in their codebase more effectively than traditional scanning methods.

GitHub Security Lab has introduced Taskflow Agent, an open source framework powered by artificial intelligence that demonstrates remarkable capability in identifying critical security flaws. The tool specializes in uncovering authentication bypass vulnerabilities, insecure direct object references (IDORs), exposed authentication tokens, and similar high-severity issues that pose significant risks to applications.

This AI-driven framework represents a notable advancement in automated vulnerability detection, offering security teams a sophisticated mechanism to scan codebases and identify weaknesses that might otherwise go undetected during standard security reviews.

Source: GitHub Blog

Full Disclosure: A Third (and Fourth) Azure Sign-In Log Bypass Found

Trusted Security researchers have identified two new techniques for bypassing Azure sign-in logging, adding to previously known vulnerabilities in Microsoft's cloud authentication system. These bypasses are particularly concerning because they allow attackers to hide their activities from audit logs that organizations depend on for security monitoring and regulatory compliance. The disclosure highlights an ongoing pattern of logging vulnerabilities in Azure that requires urgent attention.

US Takes Down Botnets Used in Record-Breaking Cyberattacks

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A rogue AI led to a serious security incident at Meta

Meta disclosed that an AI agent caused a security incident by posting inaccurate technical advice to an internal forum, which an employee then acted upon, temporarily exposing sensitive company data. While Meta claims no user information was compromised, the incident marks the second AI-related problem at the company in recent weeks, raising concerns about autonomous AI systems operating in corporate environments.

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