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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 1069 results — Active exploitationTensorFlow: StringNGrams heap overflow crashes ML process
CVE-2021-29542 TensorFlow: null ptr deref DoS in StringNGrams op
CVE-2021-29541 TensorFlow: heap buffer overflow in Conv2D gradient op
CVE-2021-29540 TensorFlow: type confusion in ImmutableConst causes DoS
CVE-2021-29539 TensorFlow: div-by-zero DoS in Conv2DBackpropFilter
CVE-2021-29538 TensorFlow: heap overflow in QuantizedResizeBilinear op
CVE-2021-29537 TensorFlow: heap overflow in QuantizedReshape op
CVE-2021-29536 TensorFlow: heap overflow in QuantizedMul op
CVE-2021-29535 TensorFlow: DoS via CHECK-fail in SparseConcat op
CVE-2021-29534 TensorFlow: DoS via empty image in DrawBoundingBoxes
CVE-2021-29533 TensorFlow: heap OOB read via RaggedCross op
CVE-2021-29532 TensorFlow: DoS crash via empty tensor in PNG encoding
CVE-2021-29531 TensorFlow: null ptr deref in sparse Cholesky ops
CVE-2021-29530 TensorFlow: heap buffer overflow in quantized image resize
CVE-2021-29529 TensorFlow: DoS via division-by-zero in QuantizedMul
CVE-2021-29528 TensorFlow: divide-by-zero DoS in QuantizedConv2D
CVE-2021-29527 TensorFlow: Conv2D divide-by-zero crashes ML workloads
CVE-2021-29526 TensorFlow: div-by-zero DoS in Conv2DBackpropInput
CVE-2021-29525 TensorFlow: div-by-zero DoS in Conv2D backprop op
CVE-2021-29524 TensorFlow: DoS via integer overflow in sparse ops
CVE-2021-29523 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
Start 14-Day Free Trial