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 1961 results — Active exploitationSiYuan: missing authz leaks forbidden doc content via backlink API
CVE-2026-68586SiYuan: missing authz exposes publish-disabled docs
CVE-2026-68587csv-parse: CSV header triggers prototype pollution
CVE-2026-85063SiYuan: path traversal leaks attribute-view data
CVE-2026-69086unstructured: SSRF via url= param exposes internal APIs
CVE-2026-71428Ollama: SSRF via unvalidated model-pull redirects
CVE-2026-85180Helicone: IDOR leaks cross-tenant LLM provider keys
CVE-2026-85178ckan-mcp-server: cache key collision enables poisoning
CVE-2026-73846Label Studio: org filter bypass leaks tenant storage
CVE-2026-85211Label Studio: SSRF via webhooks hits cloud metadata
CVE-2026-85179Craft CMS: auth bypass enables admin takeover
CVE-2026-84801Codex CLI: git core.fsmonitor hook enables RCE
CVE-2026-19592Transformers: remote file write bypasses trust prompt
CVE-2026-80047pdfme: XSS via unsanitized i18n labels in Designer
CVE-2026-82865ash_cloak: encrypted field plaintext leaks into logs
CVE-2026-81322SiYuan: stored XSS via malicious bazaar package names
CVE-2026-82653browser-use web-ui: stores LLM API keys in cleartext
CVE-2026-82640NextChat: proxy URL check bypass leaks OpenAI key
CVE-2026-82639browser-use: arbitrary directory creation via paths
CVE-2026-82637ash_paper_trail: sensitive fields leak in version logs
CVE-2026-75847Frequently 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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