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 1042 results — High severity, no patchLangChain: SitemapLoader SSRF bypasses domain restriction
CVE-2026-72848 n8n: RCE via unsanitized Git node config values
CVE-2026-77084 n8n: Snowflake node allows arbitrary file read/write
CVE-2026-77080 n8n: authz bypass in role deletion grants project admin
CVE-2026-77079 n8n: EventEmitter prototype pollution enables sandbox RCE
CVE-2026-77077 n8n: GraphQL error leaks decrypted credential secret
CVE-2026-77076 n8n: expression injection executes JS in victim session
CVE-2026-77075 n8n: stored XSS in Form node completion page
CVE-2026-77072 n8n: Supabase filter injection leaks/wipes full tables
CVE-2026-77071 n8n: NoSQL injection in MongoDB node wipes/exfils data
CVE-2026-77070 n8n: RCE via path traversal in MCP schema loader
CVE-2026-77068 Splunk SPL2: broken authZ lets low-priv user wipe modules
CVE-2026-76336 Splunk Enterprise: SPL injection via Dataset Explorer
CVE-2026-76254 marimo: code injection via malicious MCP server config
CVE-2026-75149 Langflow: missing auth allows admin takeover
CVE-2026-19875 Evidently: unauth path traversal leaks any file
CVE-2026-75111 Budibase: SSRF in automations reaches cloud metadata
CVE-2026-35219 PyCharm: unauthenticated Jupyter MCP tools enable RCE
CVE-2026-75060 SiYuan: unthrottled brute-force exposes published notes
CVE-2026-74868 Edimax EW-7478APC: command injection via rootAPmac
CVE-2026-19960 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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