First reported mdazlaanzubair.com
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 · 2 reports airia.com
The Anatomy of an Agentic Jailbreak: How Attackers Chain Vulnerabilities Across Multi-Agent Systems
Airia's blog explains three classes of agentic AI attacks—system prompt leakage, jailbreaks, and data exfiltration via approved channels—and how they compound across multi-agent orchestration chains. It notes an Airia red team engagement extracted a plaintext API key from a Gemini Flash agent after two attack iterations, and describes modern jailbreak techniques such as multi-turn escalation, context manipulation, nested encoding, and persona switching. Details →First reported · updated · 9 reports kodemsecurity.com
OWASP Top 10 LLM & Gen AI Vulnerabilities in 2026
Bright Defense publishes an explainer walking through the OWASP Top 10 LLM and generative-AI vulnerabilities (prompt injection, sensitive information disclosure, supply chain risks, data/model poisoning, improper output handling, excessive agency, system prompt leakage, vector/embedding weaknesses, misinformation, and unbounded resource consumption), giving each category a description, sample attack scenario, and mitigation guidance. The piece is reference material synthesizing the OWASP framework rather than reporting a specific incident or presenting new findings. Details →First reported amazon.com
Designing for the inevitable: System prompt leakage and mitigations in generative AI applications | AWS Security Blog
An AWS Security Blog post titled "Designing for the inevitable: System prompt leakage and mitigations in generative AI applications" discusses the risk of system prompt leakage in LLM-based applications and offers guidance on mitigations, referencing the OWASP Top 10 for LLM Applications (LLM07: System Prompt Leakage). Details →How the wire is made
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