MediumVulnerability
CVE-2025-3777: Hugging Face Transformers improper URL validation in image_utils.py
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2025-3777
- Published
- Record updated
- Affected
- transformers < 4.52.1
- Fixed in
- 4.52.1
- released May 20, 2025, 48 days before disclosure
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.4%
Summary
Hugging Face Transformers versions up to 4.49.0 contain an improper input validation flaw in `image_utils.py`. The code checks URLs with `startswith()`, which an attacker can bypass by injecting a username into the URL so it looks like a YouTube link while resolving to a malicious domain. This could enable phishing, malware distribution, or data exfiltration.
Mitigation
Fixed in version 4.52.1.
Affected packages in the Exposure Registry
Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.
- transformersPyPILLM dependency since 2016-08-17 · 141 tracked dependents
Related items
- HighCVE-2026-119120: Crawl4AI Docker API lets clients choose the HuggingFace model it loadsSame vendor · NVD/CVE Database
- HighGHSA-wf6j-7hvr-gr93: Hydra legacy target blacklist permits unsafe PyYAML loadingSame vendor · Hugging Face Security Advisories
- MediumCVE-2026-100653: vLLM unpinned Hugging Face artifact loads for FunAudioChat and Tarsier2Same vendor · NVD/CVE Database
- HighGHSA-3hmm-rh5q-gwwr: LMDeploy vulnerable to arbitrary code execution via eval() of untrusted quant_dtype in model config loadingSame vendor · Hugging Face Security Advisories
- MediumCVE-2026-80047: Hugging Face Transformers writes remote Python files to disk before trust checkSame vendor · NVD/CVE Database