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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 4307 resultsCVE-2021-41213TensorFlow: tf.function deadlock enables DoS via model load5.50.2%tensorflowNov 5MEDICVE-2021-41218TensorFlow: AllToAll DoS via divide-by-zero crash5.50.1%tensorflowNov 5MEDIECVE-2021-41209TensorFlow: DoS via division-by-zero in conv ops5.50.1%tensorflowNov 5HIGHECVE-2021-41208TensorFlow: heap R/W + DoS in boosted trees APIs7.80.2%tensorflowNov 5MEDIECVE-2021-41207TensorFlow: ParallelConcat div-by-zero crashes ML process5.50.1%tensorflowNov 5HIGHECVE-2021-41206TensorFlow: missing shape validation allows heap R/W7.80.2%tensorflowNov 5MEDIECVE-2021-41202TensorFlow tf.range: integer overflow in kernel causes DoS5.50.2%tensorflowNov 5HIGHECVE-2021-41226TensorFlow: heap OOB in SparseBinCount, crash/disclosure7.10.2%tensorflowNov 5HIGHECVE-2021-41224TensorFlow: heap OOB read in SparseFillEmptyRows op7.10.2%tensorflowNov 5HIGHECVE-2021-41223TensorFlow: FusedBatchNorm heap OOB allows data leak/crash7.10.2%tensorflowNov 5HIGHECVE-2021-41219TensorFlow: heap OOB in sparse matrix multiply7.80.2%tensorflowNov 5MEDIECVE-2021-41217TensorFlow: null pointer crash in control flow graph5.50.2%tensorflowNov 5MEDIECVE-2021-41215TensorFlow: DeserializeSparse null deref causes DoS5.50.2%tensorflowNov 5HIGHECVE-2021-41214TensorFlow: null deref in ragged ops, local RCE7.80.2%tensorflowNov 5HIGHECVE-2021-41212TensorFlow: heap OOB read in ragged.cross shape inference7.10.2%tensorflowNov 5HIGHECVE-2021-41211TensorFlow: heap OOB read in QuantizeV2 shape inference7.10.2%tensorflowNov 5HIGHECVE-2021-41205TensorFlow: heap OOB read in quantize ops, DoS+leak7.10.2%tensorflowNov 5MEDIECVE-2021-41204TensorFlow: DoS via Grappler constant folding segfault5.50.1%tensorflowNov 5HIGHECVE-2021-41203TensorFlow: malformed checkpoint triggers overflow/crash7.80.2%tensorflowNov 5HIGHECVE-2021-41210TensorFlow: heap OOB read in SparseCountSparseOutput7.10.2%tensorflowNov 5Frequently 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