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
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Latest AI Security Threats
Showing 20 of 826 results — has patchONNX: hardlink path traversal leaks sensitive files
CVE-2026-34446 ONNX: property overwrite via crafted model file
CVE-2026-34445 ONNX: symlink path traversal allows arbitrary file read
CVE-2026-27489 Anthropic SDK: TOCTOU symlink escape in async memory tool
CVE-2026-34452 anthropic-ai/sdk: memory tool path traversal escape
CVE-2026-34451 anthropic-sdk: insecure file perms expose agent memory
CVE-2026-34450 MLflow: command injection via model_uri in mlserver mode
CVE-2026-0596 OpenClaw: .npmrc hijack enables RCE on plugin install
GHSA-m3mh-3mpg-37hw OpenClaw: HTTP scope bypass enables model enumeration
GHSA-68f8-9mhj-h2mp OpenClaw: sandbox escape via mediaUrl path traversal
GHSA-hr5v-j9h9-xjhg MLflow: RCE via unsanitized model dependency specs
CVE-2025-15379 MLflow: path traversal enables sandbox escape, file overwrite
CVE-2025-15036 openclaw: webhook rate-limit bypass enables token brute-force
CVE-2026-35646 openclaw: unauthenticated webhook parsing enables DoS
CVE-2026-35640 openclaw: SSRF in channel extensions hits internal network
CVE-2026-35629 openclaw: auth bypass exposes agent session history via HTTP
CVE-2026-35657 Langflow: IDOR exposes flows and plaintext API keys
CVE-2026-34046 Langflow: server-side RCE via LLM-generated code exec
CVE-2026-33873 langchain-core: path traversal exposes host secrets via prompt config
CVE-2026-34070 @mobilenext/mobile-mcp: path traversal via AI agent tool
CVE-2026-33989 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?
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