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MEDIUM severity

CVE-2025-2099 — transformers

MEDIUMFix: huggingface/transformers@8cb522b

CVE-2025-2099 is a medium-severity (CVSS 5.3) CWE-1333 vulnerability in transformers. A fix is available for transformers — see the affected versions and patch details below.

Regular Expression Denial of Service (ReDoS) in huggingface/transformers

Also known asGHSA-qq3j-4f4f-9583PYSEC-2025-40
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Nov 9, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

  • CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.

Exploitation and automatability from CISA’s SSVC triage for CVE-2025-2099.

EPSS Exploitation Probability

via FIRST.org ↗
0.6%probability of exploitation in next 30 days
Lower Risk-0.01%
Lower risk than most CVEs49th percentile — riskier than 49% of all scored CVEsHighest risk
0.00%0.37%0.74%1.11%0.1%0.6%May 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

1 pkg affected
🐍transformers

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

A Regular Expression Denial of Service (ReDoS) exists in the preprocess_string() function of the transformers.testing_utils module. In versions before 4.50.0, the regex used to process code blocks in docstrings contains nested quantifiers that can trigger catastrophic backtracking when given inputs with many newline characters. An attacker who can supply such input to preprocess_string() (or code paths that call it) can force excessive CPU usage and degrade availability.

Fix: released in 4.50.0, which rewrites the regex to avoid the inefficient pattern. ([GitHub][1])

  • Affected: < 4.50.0
  • Patched: 4.50.0

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPItransformersall versions4.50.0pip install --upgrade 'transformers==4.50.0'

Affected Products

1 product · 1 configurations
Application
transformershuggingface
≤ 4.48.3
range

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for transformers, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update transformers to 4.50.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2025-2099 is resolved across your whole dependency graph.

  3. Workarounds

    Cap what an attacker can consume: apply request size, rate and timeout limits in front of the affected component, and run it with memory and CPU limits so exhaustion degrades one worker rather than the whole service.

Fixing This On Your OS

If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.

Red HatModerate
Workaround published by Red Hat
Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.
Source: Red Hat security advisory for CVE-2025-2099 (CC BY 4.0)
ProductFixed inAdvisory
Red Hat Ansible Automation Platform 2.5 for RHEL 8ansible-automation-platform-25/lightspeed-chatbot-rhel8:2.5.250730-2RHSA-2025:12791

Frequently Asked Questions

A Regular Expression Denial of Service (ReDoS) exists in the `preprocess_string()` function of the `transformers.testing_utils` module. In versions **before 4.50.0**, the regex used to process code blocks in docstrings contains nested quantifiers that can trigger catastrophic backtracking when given inputs with many newline characters. An attacker who can supply such input to `preprocess_string()` (or code paths that call it) can force excessive CPU usage and degrade availability. **Fix:** released in **4.50.0**, which rewrites the regex to avoid the inefficient pattern. ([GitHub][1]) * **
O3 Security · Impact-Aware SCA

Is CVE-2025-2099 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2025-2099: transformers DoS — Fixed in 4.50.0