Improper Validation of Syntactic Correctness of Input Affecting transformers package, versions [0,4.52.0)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-TRANSFORMERS-10658536
- published8 Jul 2025
- disclosed7 Jul 2025
- creditYunus AYDIN
Introduced: 7 Jul 2025
NewCVE-2025-3777 (opens in a new tab)How to fix?
Upgrade transformers to version 4.52.0 or higher.
Overview
transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Affected versions of this package are vulnerable to Improper Validation of Syntactic Correctness of Input via improper handling of user-supplied URLs by using the startswith() method in image_utils.py. An attacker can cause an application to display a seemingly legitimate YouTube link that actually redirects users to a malicious domain by supplying crafted input.