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 4307 resultsCoraza WAF: malformed URI bypasses GET arg inspection
GHSA-x26q-wvhg-fh4mCoraza WAF: octal jsDecode bug lets payloads bypass rules
CVE-2026-104774Coraza WAF: stack overflow DoS via JSON body
GHSA-6gcq-wc29-5xf2Coraza WAF: JSON key collision bypasses inspection
GHSA-5gj4-9gm7-2fx2Pydantic AI: stream slot leak enables remote DoS
CVE-2026-107286Ollama: path traversal in /api/pull enables root RCE
CVE-2026-103663Cyrus SASL: DIGEST-MD5 heap overflow crashes RHOAI clients
CVE-2026-107161PraisonAI: code injection in deploy API enables RCE
CVE-2026-62176RabbitMQ Java Client: AMQP password leaked in exception
CVE-2026-106123PraisonAI Platform: authz flaw lets members delete issue links
CVE-2026-62179Claude Code: TOCTOU symlink race allows out-of-sandbox write
CVE-2026-103435Langflow: access control flaw in vertex cache leaks data
CVE-2026-97680Langflow: authenticated code injection allows RCE
CVE-2026-97679Langflow: authenticated RCE via improper input validation
CVE-2026-97678Langflow: sandbox escape allows authenticated RCE
CVE-2026-97676Langflow: code injection allows authenticated OS command execution
CVE-2026-97674Langflow: input validation flaw allows authenticated RCE
CVE-2026-97673Langflow: path traversal exposes sensitive files
CVE-2026-97671Langflow: incomplete blocklist enables authenticated RCE
CVE-2026-97655Langflow: ZIP extraction resource exhaustion allows DoS
CVE-2026-93679Frequently 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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