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OpenAI Expands Daybreak With GPT-5.5-Cyber to Help Defenders Patch Security Flaws

OpenAI on Monday said it’s releasing an improved version of its GPT‑5.5‑Cyber model to trusted defenders as part of the Daybreak initiative the artificial intelligence (AI) company announced last month.

Calling GPT‑5.5‑Cyber its “strongest model yet for finding and helping patch software vulnerabilities,” OpenAI said the model can “sustain deeper analysis across large codebases” to identify security issues, validate them in a controlled environment, and develop and test patches.

In tandem, the tech upstart is releasing an update to the Codex Security plugin⁠ to speed up the process of discovering and patching vulnerabilities in existing systems, alongside preventing new vulnerabilities from entering production codebases.

WhatsApp phishing attack uses fake business docs to hack PCs

An ongoing malware campaign is targeting WhatsApp users in multiple countries with deceptive messages that push VBScript files, leading to remote system access.

The threat actor is using file names that indicate business and financial documents delivered by the victim’s contacts, whose accounts had been compromised.

By downloading and executing the malicious attachments, the recipient starts an infection chain that leads to installing the legitimate ManageEngine Endpoint Central, which is used by IT administrators to manage systems from a centralized dashboard.

Microsoft fixes AutoGen Studio flaw that enabled code execution

A vulnerability chain dubbed AutoJack in Microsoft’s AutoGen Studio interface for prototyping AI agents could let attackers manipulate an agent into executing arbitrary commands on its host system simply by visiting a malicious webpage.

AutoGen Studio is the graphical component for AutoGen, Microsoft’s open-source framework for building multi-agent AI systems. The framework allows developers to create AI agents that can collaborate with one another, use tools, browse the web, execute code, interact with APIs, and connect to external systems.

The project is very popular, with more than 59,000 stars and nearly 9,000 forks on GitHub. Microsoft notes that AutoJack’s impact was limited because the issue was addressed during development.

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