Advisory Database
  • Advisories
  • Dependency Scanning
  1. pypi
  2. ›
  3. transformers
  4. ›
  5. CVE-2025-3777

CVE-2025-3777: Transformers's Improper Input Validation vulnerability can be exploited through username injection

July 7, 2025 (updated July 8, 2025)

Hugging Face Transformers versions up to 4.49.0 are affected by an improper input validation vulnerability in the image_utils.py file. The vulnerability arises from insecure URL validation using the startswith() method, which can be bypassed through URL username injection. This allows attackers to craft URLs that appear to be from YouTube but resolve to malicious domains, potentially leading to phishing attacks, malware distribution, or data exfiltration. The issue is fixed in version 4.52.1.

References

  • github.com/advisories/GHSA-phhr-52qp-3mj4
  • github.com/huggingface/transformers
  • github.com/huggingface/transformers/blame/a7d2bbaaa8aac64f7c1ee8c1421cfe84b38359a4/src/transformers/image_utils.py
  • github.com/huggingface/transformers/commit/4dda5f71b35fb70cf602187eef84bb17a50b9082
  • huntr.com/bounties/ccba0730-9248-4853-b7ff-5c20e6364f09
  • nvd.nist.gov/vuln/detail/CVE-2025-3777

Code Behaviors & Features

Detect and mitigate CVE-2025-3777 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →

Affected versions

All versions before 4.52.1

Fixed versions

  • 4.52.1

Solution

Upgrade to version 4.52.1 or above.

Impact 3.5 LOW

CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:N/A:N

Learn more about CVSS

Weakness

  • CWE-20: Improper Input Validation

Source file

pypi/transformers/CVE-2025-3777.yml

Spotted a mistake? Edit the file on GitLab.

  • Site Repo
  • About GitLab
  • Terms
  • Privacy Statement
  • Contact

Page generated Tue, 19 Aug 2025 12:19:46 +0000.