Crawl4AI 0.9.0 before 0.9.5 Untrusted Model Loading via CosineStrategy model_name
Impact
Crawl4AI versions 0.9.0 before 0.9.5 are vulnerable to untrusted model loading via the CosineStrategy model_name field. Authenticated clients can load malicious models, potentially executing Python code or exhausting resources.
Summarized by @cf/meta/llama-3.3-70b-instruct-fp8-fast. Verify details against the original sources.Affected packages
Affected products
Vendor version evidence. Product records are separate from automatic dependency matching.
unclecode · VulnCheck
crawl4ai
2 ranges
unclecode · VulnCheck
crawl4ai
Package identity
pkg:pypi/crawl4aiExplore crawl4ai →Identity supplied by VulnCheck. Version matching requires compatible range evidence.
Compare with this publisher’s ranges. This does not inspect your installation.
affected
0.9.0 → before 0.9.5
semver versions
unaffected
0.9.5
semver versions
Other versions: unaffected
Original source description
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.
Inside the record
Evidence available
Describes the evidence in this view, not whether the product is safe.
Original records
CVE-2026-119120View the latest unmodified CVE JSON from the official source. It may be newer than this imported page.
cve.new JSON →Underlying weaknesses
The source’s classification of what caused the vulnerability.
Contributing organizations · 1
Assigning organization
What changed
Follow changesLarge field values are marked as truncated previews. Original source snapshots remain retained.