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 2345 results — no patchLangflow: SSRF flaw exposes internal/cloud metadata
CVE-2026-19305 Langflow: SSRF via URL parser bypass exposes internal services
CVE-2026-19304 Langflow: path traversal enables arbitrary file deletion
CVE-2026-19303 Langflow: symlink flaw leaks sensitive files
CVE-2026-19302 Langflow: SSRF allows internal network reconnaissance
CVE-2026-19301 Langflow: leaky credential fields expose secrets
CVE-2026-19300 Langflow: authenticated path traversal leaks files
CVE-2026-19299 Langflow: auth bypass in flow build enables RCE
CVE-2026-19298 Langflow: header spoof bypasses MCP config write guard
CVE-2026-9186 Langflow: path traversal enables arbitrary file write
CVE-2026-9138 Langflow: stored XSS in Playground chat UI
CVE-2026-8447 ms-swift: unauth SSRF via multimodal media URLs
CVE-2026-85686 LLaMA-Factory: SSRF guard bypass via redirect/DNS rebind
CVE-2026-85673 tokenizers: malformed vocab crashes process (DoS)
CVE-2026-85670 OGX/Llama Stack: SSRF via MCP tool server_url
CVE-2026-85666 SiYuan: auth bypass leaks hidden notebook files
CVE-2026-85578 csv-parse: CSV header triggers prototype pollution
CVE-2026-85063 Ollama: SSRF via unvalidated model-pull redirects
CVE-2026-85180 Helicone: IDOR leaks cross-tenant LLM provider keys
CVE-2026-85178 ckan-mcp-server: cache key collision enables poisoning
CVE-2026-73846 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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