First reported arxiv.org
Lead dispatch
First reported · updated · 3 reports embracethered.com
AWS Kiro: Arbitrary Code Execution via Indirect Prompt Injection
Researchers found a vulnerability (CVE-2026-10591) in AWS Kiro, an agentic IDE, where hidden instructions planted in a web page or source file that Kiro processes can trigger indirect prompt injection to rewrite Kiro's own MCP server configuration (~/.kiro/settings/mcp.json) or allowlist arbitrary Bash commands in .vscode/settings.json, achieving arbitrary code execution on the developer's machine with no approval prompt. The human-in-the-loop approval boundary is bypassed because Kiro can write to these config files without user consent, and AWS has issued a fix and CVE.indirect-prompt-injection · prompt-injection · remote-code-execution · tool-abuse · config-poisoning
ai-agents · mcp · llm · agentic-ide
Severity
0.85
The wire · latest
First reported · updated · 3 reports springer.com
Jailbreaking LLMs: Protecting the Future of Enterprise Security | Springer Nature Link
A book chapter titled "The Role of Red Teaming in LLM Security" (from the volume "Jailbreaking LLMs") argues that no single defense is sufficient against evolving jailbreak techniques and presents red teaming as a structured method to simulate attacker behavior and surface LLM system weaknesses before they are exploited in production. Details →First reported · updated · 4 reports theregister.com
Microsoft and Wiz mind-meld agents catch more than 90% of bugs
Microsoft and Wiz announced autonomous, agentic AI systems for vulnerability discovery and remediation: Microsoft's MAI-Cyber-1-Flash inside its MDASH multi-agent harness (scoring 96% on the CyberGym benchmark) and Wiz's Atlas AI vulnerability researcher (90.9% on CyberGym, 200+ previously unknown vulnerabilities including a GitHub RCE, CVE-2026-3854). Microsoft also unveiled its EXTRA external AI red-team alliance and the Perception agentic security systems. Details →First reported arxiv.org
MUZZLE: Adaptive Agentic Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks
MUZZLE is an automated agentic red-teaming framework, presented in a USENIX Security 2026 paper by researchers from Northeastern University and Mozilla, for evaluating the security of LLM-based web agents against indirect prompt injection attacks embedded in untrusted web content. Muzzle uses agent trajectories to identify high-salience injection surfaces and adaptively generates context-aware malicious instructions, discovering 44 new attacks across 4 web applications, including 3 cross-application prompt injection attacks and an agent-tailored phishing scenario. Details →How the wire is made
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