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 544 results — Medium severity, has patchkedro-datasets: path traversal enables arbitrary file write
CVE-2026-35492vLLM: OOM DoS via unbounded video frame decoding
CVE-2026-34755vLLM: SSRF in batch API exposes cloud metadata endpoints
CVE-2026-34753ltiauthenticator: OAuth nonce leak causes server DoS
CVE-2026-34052JupyterHub: open redirect enables post-login phishing
CVE-2026-33709vLLM: DoS via unbounded n parameter causes OOM crash
CVE-2026-34756OpenClaw: SSRF in marketplace fetch hits internal AI infra
GHSA-9q7v-8mr7-g23pONNX: symlink traversal reads host files via model loading
CVE-2026-34447ONNX: hardlink path traversal leaks sensitive files
CVE-2026-34446Anthropic SDK: TOCTOU symlink escape in async memory tool
CVE-2026-34452anthropic-ai/sdk: memory tool path traversal escape
CVE-2026-34451anthropic-sdk: insecure file perms expose agent memory
CVE-2026-34450OpenClaw: HTTP scope bypass enables model enumeration
GHSA-68f8-9mhj-h2mpopenclaw: webhook rate-limit bypass enables token brute-force
CVE-2026-35646openclaw: unauthenticated webhook parsing enables DoS
CVE-2026-35640openclaw: auth bypass exposes agent session history via HTTP
CVE-2026-35657n8n: stored XSS via malicious OAuth2 Authorization URL
GHSA-364x-8g5j-x2prn8n: Stored XSS in Chat Trigger via CSS injection
GHSA-3c7f-5hgj-h279n8n: stored XSS enables phishing via Form Node
GHSA-w673-8fjw-457cn8n: Stored XSS in Form Trigger enables phishing
GHSA-q4fm-pjq6-m63gFrequently 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.
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