What is the CVSS score of CVE-2025-5197?

CVE-2025-5197 has a CVSS 3.0 base score of 5.3 (Medium). CVSS vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L. EPSS exploitation probability: 0.0%.

Which versions of AI / ML are affected by CVE-2025-5197?

CVE-2025-5197 presents moderate security risk rated CVSS 5.3. Exploitation could compromise the security of affected deployments. Proof-of-concept code is publicly available.. A patch is available.

Is there a public PoC exploit available for CVE-2025-5197?

Yes, a public proof-of-concept exploit is available for CVE-2025-5197. Prioritise patching immediately. EPSS: 0.0%.

How to fix or mitigate CVE-2025-5197?

Within 30 days: Identify affected systems and apply vendor patches as part of regular patch cycle. Vendor patch is available.

AI / ML CVE-2025-5197

MEDIUM

Inefficient Regular Expression Complexity (ReDoS) (CWE-1333)

2025-08-06 security@huntr.dev

Denial Of Service Red Hat AI / ML Pytorch Transformers Suse Tensorflow Hugging Face

5.3

CVSS 3.0

CVSS VectorNVD

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

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

None

Integrity

None

Availability

Low

Lifecycle Timeline

Analysis Generated

Mar 28, 2026 - 19:05 vuln.today

Patch released

Mar 28, 2026 - 19:05 nvd

Patch available

PoC Detected

Oct 21, 2025 - 16:46 vuln.today

Public exploit code

CVE Published

Aug 06, 2025 - 12:15 nvd

MEDIUM 5.3

Blast Radius

ecosystem impact

† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth

14 pypi packages depend on transformers (14 direct, 0 indirect)

Ecosystem-wide dependent count for version 4.53.0.

DescriptionNVD

A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the convert_tf_weight_name_to_pt_weight_name() function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern /[^/]*___([^/]*)/ that can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. The vulnerability affects versions up to 4.51.3 and is fixed in version 4.53.0. This issue can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting model conversion processes between TensorFlow and PyTorch formats.

AnalysisAI

A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the convert_tf_weight_name_to_pt_weight_name() function. Rated medium severity (CVSS 5.3), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available.

Technical ContextAI

This vulnerability is classified under CWE-1333. A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the convert_tf_weight_name_to_pt_weight_name() function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern /[^/]*___([^/]*)/ that can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. The vulnerability affects versions up to 4.51.3 and is fixed in version 4.53.0. This issue can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting model conversion processes between TensorFlow and PyTorch formats. Affected products include: Huggingface Transformers. Version information: up to 4.51.3.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.