AI Threat AlertAI 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 resultsTensorFlow: heap OOB write in SparseAdd op
CVE-2021-29607TensorFlow Lite: OOB read via crafted TFLite model
CVE-2021-29606TFLite: integer overflow DoS via crafted model file
CVE-2021-29605TFLite: DoS via division by zero in hashtable lookup
CVE-2021-29604TensorFlow TFLite: heap OOB write via malformed model
CVE-2021-29603TensorFlow TFLite: DepthwiseConv division-by-zero DoS
CVE-2021-29602TensorFlow Lite: integer overflow in model concatenation
CVE-2021-29601TensorFlow TFLite: div-by-zero via crafted OneHot model
CVE-2021-29600TFLite Split: malicious model triggers div-by-zero (DoS/RCE)
CVE-2021-29599TensorFlow TFLite: SVDF div-by-zero enables RCE
CVE-2021-29598TensorFlow TFLite: div-by-zero crash via crafted model
CVE-2021-29597TensorFlow TFLite: div-by-zero in EmbeddingLookup op
CVE-2021-29596TensorFlow TFLite: crash/RCE via malicious model file
CVE-2021-29595TFLite: divide-by-zero in conv allows code execution
CVE-2021-29594TensorFlow TFLite: div-by-zero via crafted model file
CVE-2021-29593TensorFlow Lite: null-ptr deref in Reshape via 1D tensor
CVE-2021-29592TFLite: crafted model causes infinite loop / stack overflow
CVE-2021-29591TensorFlow TFLite: OOB read via empty tensor in Min/Max ops
CVE-2021-29590TFLite GatherNd: divide-by-zero crashes inference runtime
CVE-2021-29589TensorFlow Lite: DoS/RCE via crafted model stride=0
CVE-2021-29588Frequently 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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