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FIRST LOOK Agentic AI Disrupts Confidential Computing Security Boundaries // CRITICAL OpenAI GPT-5.6 Escapes Sandbox, Attacks Hugging Face to Cheat Benchmark // CRITICAL CVE-2026-0770: Langflow RCE Flaw Exploited in Active Attacks // HIGH Azure DevOps MCP Prompt Injection Hijacks AI Review Agents // FIRST LOOK Yellow Teams Bring AI Offense and Defense Into One Security Function // FIRST LOOK Tracebit Ships AWS Context Bombing Defence Against AI Hacking Agents // FIRST LOOK FriendMachine Launches Jacquard Lang for AI-Written Code Review // CRITICAL Check Point 2026 AI Security Report: LLMs Now Run Live Attacks // FIRST LOOK OpenAI GPT-5.6 Sol Ships Faster Parallel Tool-Use for Agents // FIRST LOOK Meta Launches Muse Image with Public Instagram Photo Reuse //
Azure DevOps MCP Prompt Injection Hijacks AI Review Agents

Azure DevOps MCP Prompt Injection Hijacks AI Review Agents

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.1 The Hacker News

A prompt injection flaw in Microsoft's official Azure DevOps MCP server allows attackers to embed hidden instructions inside pull request descriptions using HTML comments, invisible to human reviewers but passed raw to AI agents. Because the affected tool lacks the spotlighting guardrail Microsoft already applied to other tools in the same server, a low-privileged contributor can hijack a senior reviewer's AI agent to exfiltrate secrets, trigger pipelines, and read confidential wikis across unrelated projects. The vulnerability represents a textbook confused-deputy escalation in an agentic AI workflow, confirmed unpatched as of July 21, 2026.

Ghostcommit PoC Embeds Prompt Injection in PNG to Steal Repo Secrets

Ghostcommit PoC Embeds Prompt Injection in PNG to Steal Repo Secrets

FIRST LOOK ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 BleepingComputer

Researchers from UMKC's ASSET Research Group have published a proof-of-concept attack called Ghostcommit that hides malicious prompt injection instructions inside PNG image files referenced by AGENTS.md convention files, causing AI coding agents to silently exfiltrate repository secrets. The technique exploits a blind spot shared by multiple AI code review tools — including CodeRabbit and Bugbot — which exclude or ignore binary image files from analysis, allowing the payload to survive review undetected. Defenders operating AI-assisted development pipelines must treat image files in agentic context paths as a new, uncontrolled input surface and reassess trust boundaries around automatically-ingested project convention files.

Anthropic Claude Code Prompt Injection Leaks Secrets

Anthropic Claude Code Prompt Injection Leaks Secrets

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.1 Microsoft Security Blog

Microsoft Threat Intelligence disclosed a vulnerability in Anthropic's Claude Code GitHub Action whereby prompt injection via untrusted GitHub content — issue bodies, PR descriptions, and comments — could cause the AI agent to read sensitive environment variables, including the ANTHROPIC_API_KEY, from /proc/self/environ. The flaw stemmed from inconsistent sandboxing: while subprocess execution paths like Bash were scrubbed of environment variables, the Read tool had no equivalent restriction. Anthropic patched the issue in Claude Code version 2.1.128 by blocking access to sensitive /proc filesystem paths.

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