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.

Each CVE is enriched with
  • CVSS severity
  • EPSS exploit probability
  • Exploitation confidence
  • AI-component classification
  • Compliance mappings
2,409

AI/ML CVEs Tracked

347

Critical

298

New This Week

18

In CISA KEV

Latest AI Security Threats

Showing 20 of 1581 results — no patch
CRITICAL

mistralai 2.4.6: supply chain dropper executes on import

GHSA-wx9m-wx4f-4cmg
9.6
Supply Chain Code Execution API Framework
mistralai CWE-506 736 6 ATLAS
CRITICAL EXPLOIT AVAIL

ChromaDB: pre-auth RCE via trust_remote_code injection

CVE-2026-45829
--
EPSS 10.3%
Code Execution Auth Bypass Supply Chain RAG Framework Agent
chromadb CWE-94 1.2K 6 ATLAS
HIGH EXPLOIT AVAIL

Bert-VITS2: path traversal exposes ML training filesystem

CVE-2026-8756
7.3
EPSS 0.5%
Data Extraction Code Execution Framework Training Data
CWE-22 4 ATLAS
HIGH EXPLOIT AVAIL

nnU-Net: prompt injection hijacks CI/CD triage agent

CVE-2026-44246
7.2
EPSS 0.2%
Prompt Injection Code Execution Agent Plugin
claude-code 5 ATLAS
CRITICAL

guardrails-ai: RCE via malicious Hub package manifest

CVE-2026-31233
9.8
EPSS 0.6%
Supply Chain Code Execution Framework Plugin
guardrails-ai CWE-94 7 5 ATLAS
CRITICAL

mamba: RCE via unsafe torch.load() on model load

CVE-2026-31239
9.8
EPSS 0.4%
Supply Chain Code Execution Framework Model
mamba-ssm CWE-502 22.7K 5 ATLAS
CRITICAL

Ludwig: RCE via unsafe pickle deserialization in model serve

CVE-2026-31238
9.8
EPSS 0.5%
Code Execution Supply Chain Framework Model Inference
ludwig CWE-502 22.7K 4 ATLAS
HIGH

CosyVoice: RCE via unsafe torch.load() model deserialization

CVE-2026-31232
8.8
EPSS 0.5%
Supply Chain Code Execution Model Inference
5 ATLAS
CRITICAL

ART: torch.load() RCE via insecure deserialization

CVE-2026-31229
9.8
EPSS 0.6%
Supply Chain Code Execution Framework Model
4 ATLAS
HIGH

snorkel: RCE via unsafe model deserialization

CVE-2026-31224
8.8
EPSS 0.4%
Supply Chain Code Execution Model Framework
snorkel CWE-502 22.7K 4 ATLAS
HIGH

snorkel: RCE via insecure model checkpoint loading

CVE-2026-31222
8.8
EPSS 0.4%
Code Execution Supply Chain Model Training Data
snorkel CWE-502 22.7K 4 ATLAS
HIGH

pytorch-lightning: RCE via insecure checkpoint deserialization

CVE-2026-31221
7.8
EPSS 0.4%
Supply Chain Code Execution Framework Model
pytorch-lightning CWE-502 1.6K 4 ATLAS
UNKNOWN

optimate: RCE via unsafe torch.load() deserialization

CVE-2026-31219
--
EPSS 0.6%
Supply Chain Code Execution Model Training Data
4 ATLAS
UNKNOWN

optimate: unsafe torch.load() enables RCE via model file

CVE-2026-31218
--
EPSS 0.6%
Supply Chain Code Execution Model Training Data
4 ATLAS
CRITICAL

torch-checkpoint: unsafe pickle deserialization RCE

CVE-2026-31214
9.8
EPSS 0.5%
Code Execution Supply Chain Model Training Data
4 ATLAS
CRITICAL EXPLOIT AVAIL

Flowise: SSRF in agent tools bypasses security wrapper

CVE-2026-43995
9.8
EPSS 0.4%
Code Execution Data Extraction Auth Bypass Agent Framework Plugin
flowise 5 ATLAS
HIGH

flash-attention: RCE via unsafe checkpoint deserialization

CVE-2026-31253
7.3
EPSS 0.2%
Code Execution Supply Chain Framework Training Data
flash_attn CWE-94 22.7K 4 ATLAS
UNKNOWN

CosyVoice: RCE via unsafe torch.load() deserialization

CVE-2026-31252
--
EPSS 0.1%
Supply Chain Code Execution Model Framework
5 ATLAS
UNKNOWN

CosyVoice: RCE via unsafe torch.load() deserialization

CVE-2026-31251
--
EPSS 0.2%
Supply Chain Code Execution Model Inference
4 ATLAS
UNKNOWN

CosyVoice: RCE via unsafe torch.load() in model averaging

CVE-2026-31250
--
EPSS 0.2%
Supply Chain Code Execution Model Training Data
4 ATLAS

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.

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