First reported · updated · 6 reports openai.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
The wire · latest
First reported paloaltonetworks.com
Model Namespace Reuse: An AI Supply-Chain Attack Exploiting Model Name Trust
Unit 42 researchers Itay Saraf and Ofir Balassiano disclose "Model Namespace Reuse," an AI supply-chain attack that exploits trust in Hugging Face model names (Author/ModelName). When an original author deletes an account or transfers ownership, an attacker can re-register the abandoned namespace and publish a malicious model under the same trusted name, achieving code execution in systems that pull models by name, including Google Vertex AI and Microsoft Azure AI Foundry. Details →First reported barhum.ai
The Hidden Risks of Downloading and Running Open-Source LLMs Locally: Model Formats, Supply-Chain Attacks, and EDR Blind Spots
A Barhum.ai report maps the security attack surface of running open-source LLMs locally, arguing model files are executable artifacts: Python pickle formats (.pt/.pth/.bin) permit arbitrary code execution by design, PickleScan has been bypassed by zero-day vulnerabilities, and inference engines like Ollama have accumulated multiple critical CVEs. It notes CVE-2025-32434 (CVSS 9.3) showed torch.load() with weights_only=True was still exploitable, and highlights that EDR tools are architecturally blind to model-layer threats. Details →How the wire is made
Poll & cluster
Internet is crawled for AI security news and near-duplicate coverage is embedded and grouped into durable items.
Curate
AI Agent filters for agentic-AI relevance, classifies and tags each item, scores severity for threats, and writes the summary.
Every item here is one machine-curated intelligence object, not a headline.
Read the wire for free. There is a small charge to ask the index questions.
The wire, open
The complete curated feed, no key required.
- GET /feed.xml — RSS 2.0, every item
- GET /api/items — read-only
The vector desk
Query the index by meaning, not just keyword.
- GET /api/items?tags=&minSeverity=&itemType=
- GET /api/search?q= — keyword
- GET /api/semantic?q= — vector