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Transformers CVE-2025-3933

| EUVDEUVD-2025-21126 MEDIUM
Inefficient Regular Expression Complexity (ReDoS) (CWE-1333)
2025-07-11 security@huntr.dev GHSA-37mw-44qp-f5jm
5.3
CVSS 3.1 · NVD
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Severity by source

NVD PRIMARY
5.3 MEDIUM
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Red Hat
5.3 MEDIUM
qualitative

Primary rating from NVD.

CVSS VectorNVD

CVSS:3.1/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

5
EUVD ID Assigned
Mar 16, 2026 - 08:17 euvd
EUVD-2025-21126
Analysis Generated
Mar 16, 2026 - 08:17 vuln.today
Patch released
Mar 16, 2026 - 08:17 nvd
Patch available
PoC Detected
Aug 07, 2025 - 01:01 vuln.today
Public exploit code
CVE Published
Jul 11, 2025 - 10:15 nvd
MEDIUM 5.3

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 13 pypi packages depend on transformers (10 direct, 3 indirect)

Ecosystem-wide dependent count for version 4.52.1.

DescriptionCVE.org

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the DonutProcessor class's token2json() method. This vulnerability affects versions 4.50.3 and earlier, and is fixed in version 4.52.1. The issue arises from the regex pattern <s_(.*?)> which can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. This vulnerability can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting document processing tasks using the Donut model.

Analysis

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the DonutProcessor class's token2json() method. This vulnerability affects versions 4.50.3 and earlier, and is fixed in version 4.52.1. The issue arises from the regex pattern <s_(.*?)> which can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. This vulnerability can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting document processing tasks using the Donut model.

Technical ContextAI

A denial of service vulnerability allows an attacker to disrupt the normal functioning of a system, making it unavailable to legitimate users. This vulnerability is classified as Inefficient Regular Expression Complexity (ReDoS) (CWE-1333).

RemediationAI

A vendor patch is available — apply it immediately. Implement rate limiting and input validation. Use timeout mechanisms for resource-intensive operations. Deploy DDoS protection where applicable.

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CVE-2023-6730 HIGH POC
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CVE-2023-7018 HIGH POC
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A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the huggingface/transformers repository,

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A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, spe

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A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, sp

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CVE-2024-11394 HIGH
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CVE-2024-11393 HIGH
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CVE-2024-11392 HIGH POC
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Vendor StatusVendor

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CVE-2025-3933 vulnerability details – vuln.today

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