AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 1069 results — Active exploitationLangflow: MCP config injection via X-Forwarded-For header
CVE-2026-6599 Langflow: cleartext auth storage exposes API keys
CVE-2026-6598 langflow: Plaintext credential storage via Flow API
CVE-2026-6597 Langflow: unauthenticated file upload allows RCE
CVE-2026-6596 Flowise: RCE via MCP stdio command injection
CVE-2026-40933 OpenAI Codex CLI: RCE via malicious MCP config files
CVE-2025-61260 Keras: safe_mode bypass allows RCE via model deserialization
CVE-2026-1462 langsmith: prototype pollution enables auth bypass, RCE
CVE-2026-40190 rembg: path traversal exposes arbitrary files via HTTP API
CVE-2026-40086 PraisonAI: unauthenticated SSRF via unvalidated webhook_url
CVE-2026-40114 praisonaiagents: SSRF in web_crawl exposes cloud metadata
CVE-2026-40160 PraisonAI: MCP env inheritance exposes API keys
CVE-2026-40159 PraisonAI: path traversal allows arbitrary file write via recipe unpack
CVE-2026-40157 PraisonAI: auto tools.py load enables local RCE
CVE-2026-40156 PraisonAI: decompression bomb causes disk exhaustion
CVE-2026-40148 PraisonAI: supply chain RCE via unverified template exec
CVE-2026-40154 PraisonAI: AST sandbox bypass enables host RCE
CVE-2026-40158 praisonaiagents: glob traversal leaks filesystem metadata
CVE-2026-40152 praisonaiagents: env var expansion exposes production secrets
CVE-2026-40153 PraisonAI: unauthenticated agent config and system prompt disclosure
CVE-2026-40151 Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
Start 14-Day Free Trial