Vulnerability | Breaking Cybersecurity News | The Hacker News

A single invisible comment in an Azure DevOps pull request can turn a reviewer's own AI coding agent against them, driving it into projects the attacker has no rights to reach and quietly leaking what it finds. The flaw is in Microsoft's official Azure DevOps MCP server , and it works because one of its tools returns pull request descriptions without a prompt-injection guardrail the company had already applied to others. Offensive security firm Manifold Security detailed the confused-deputy bug this week. Microsoft ships the server so AI agents can read and operate Azure DevOps for a user, across pull requests, pipelines, wikis, and work items, all with the user's own permissions. That is the whole problem: content other people wrote can become instructions the agent acts on. Azure DevOps PR descriptions accept Markdown, which allows HTML comments. In the web UI, an HTML comment (<!-- ... -->) renders as nothing, so a reviewer scrolling the description sees an...

OpenAI on Tuesday said a combination of its artificial intelligence (AI) models, including GPT-5.6 Sol and an "even more capable pre-release model," was behind the security incident that targeted Hugging Face's production infrastructure last week. The AI company said the models were operating with "reduced cyber refusals for evaluation purposes" that might otherwise limit their ability to conduct cyber attacks, adding it expects such incidents to "become more commonplace with the proliferation of increasingly cyber-capable models." Describing it as an "unprecedented cyber incident" and one involving state-of-the-art cyber capabilities, OpenAI said it intends to conduct a thorough investigation in partnership with Hugging Face to get to the bottom of the matter. As part of an internal evaluation, the models are said to have identified and chained vulnerabilities across OpenAI's research environment and Hugging Face's producti...

Apple has moved to address a security flaw in its Hide My Email service that enabled users' real email addresses to be unmasked, effectively undermining the feature's privacy guarantees. 404 Media reported Tuesday that a fix for the issue was deployed by Apple on July 3, 2026, after more than a year, when it was disclosed to the company by Tyler Murphy, co-founder of EasyOptOuts. Hide My Email generates unique, random email addresses that forward messages to a user's personal email inbox automatically. By creating disposable email addresses, the idea is to safeguard user privacy and tackle unwanted spam. The feature requires a paid subscription to iCloud+ and was announced by Apple in June 2021. However, at the start of the month, details emerged of a flaw that made it possible to unmask a user's real email address hidden behind a Hide My Email address. The issue was first reported to Apple on June 13, 2025, with Cupertino unsuccessfully attempting to patch ...

Hidden text on a web page was enough to make Kiro , AWS's agentic coding IDE, rewrite its own configuration file and run an attacker's code on a developer's machine, with no approval step able to stop it. Intezer, in research with Kodem Security, found that a request as ordinary as asking Kiro to summarize a page could end in remote code execution. AWS has patched the issue, and no CVE has been assigned to it. Kiro's safety model rests on a human clicking "allow." The agent can run shell commands, fetch URLs, and edit files, and the design assumes a developer reviews anything risky before it happens. That approval step is the security boundary, and the flaw let an attacker slip past it without the developer ever being offered a choice. The weak point was the file that tells Kiro which external tools to load. Kiro reads its list of Model Context Protocol servers, and the exact command used to start each one, from ~/.kiro/settings/mcp.json. When that fi...

Google's DeepMind on Tuesday announced the release of Gemini 3.5 Flash Cyber , a specialized artificial intelligence (AI) model built atop 3.5 Flash that's designed to discover, validate, and patch vulnerabilities quickly and efficiently. According to the tech giant, the model will be exclusively available to governments and trusted partners via CodeMender as part of a limited-access pilot program. CodeMender is an AI-powered agent for vulnerability discovery and patching that was unveiled by the company in October 2025. A Google DeepMind spokesperson told The Hacker News that there are plans to extend the model's capabilities to include red-teaming features and end-to-end enterprise defense. The lightweight model, per DeepMind, is both cost-efficient and highly capable alternative to large, costly cybersecurity-focused models. CodeMender can call upon 3.5 Flash Cyber "multiple times at high speed and low cost," allowing the AI agent to scan more code path...