Answer in brief
CVE-2026-119120 records a High severity (CVSS 7.7) vulnerability in Crawl4AI 0.9.0 before 0.9.5 Untrusted Model Loading via CosineStrategy model_name. The current sources do not mark it as known exploited. The current feed maps unclecode/crawl4ai (generic). Check affected ranges and fixed versions before updating.
Analysis pending evidence review
HOL Guard separates source facts from reviewed analysis. See the methodology.
CVSS is 7.7. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.
Analysis status
Analysis pending evidence review
Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.
The current feed maps unclecode/crawl4ai (generic). Check affected ranges and fixed versions before updating.
| Package | Affected range | Fixed version |
|---|---|---|
| unclecode/crawl4aigeneric | >=0.9.0 <0.9.5 | 0.9.5 |
Published upstream
Oct 29, 2026
Evidence: source:cvelist:source_dates:source-dates:recordSource modified
Oct 29, 2026
Evidence: source:cvelist:source_dates:source-dates:recordFirst seen by HOL
Oct 29, 2026
Crawl4AI from 0.9.0 before 0.9.5 fails to filter the CosineStrategy model_name field in untrusted Docker API request bodies, allowing authenticated clients to choose which HuggingFace model the server loads. Attackers can reference a malicious repository with a pickle weight file to execute Python code under PyTorch below 2.6, or exhaust disk and memory.
Quoted source text, attributed separately from HOL analysis.