transformers-4.51.3-py3-none-any.whl: 22 vulnerabilities (highest severity is: 8.6) #8
Description
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Vulnerabilities
| Vulnerability | Severity |  CVSS |
Exploit Maturity | EPSS | Dependency | Type | Fixed in (transformers version) | Remediation Possible** | Reachability |
|---|---|---|---|---|---|---|---|---|---|
| CVE-2026-21441 |  High |
8.6 | Not Defined | 0.0% | urllib3-2.4.0-py3-none-any.whl | Transitive | 4.52.1 | ✅ | |
| CVE-2025-66471 | High |
8.6 | Not Defined | 0.0% | urllib3-2.4.0-py3-none-any.whl | Transitive | N/A* | ❌ | |
| CVE-2025-66418 | High |
8.6 | Not Defined | 0.0% | urllib3-2.4.0-py3-none-any.whl | Transitive | N/A* | ❌ | |
| CVE-2025-14930 | High |
7.8 | Not Defined | 0.2% | transformers-4.51.3-py3-none-any.whl | Direct | N/A | ❌ | |
| CVE-2025-14929 | High |
7.8 | Not Defined | 0.2% | transformers-4.51.3-py3-none-any.whl | Direct | N/A | ❌ | |
| CVE-2025-14928 | High |
7.8 | Not Defined | 0.1% | transformers-4.51.3-py3-none-any.whl | Direct | N/A | ❌ | |
| CVE-2025-14927 | High |
7.8 | Not Defined | 0.1% | transformers-4.51.3-py3-none-any.whl | Direct | N/A | ❌ | |
| CVE-2025-14926 | High |
7.8 | Not Defined | 0.1% | transformers-4.51.3-py3-none-any.whl | Direct | N/A | ❌ | |
| CVE-2025-14924 | High |
7.8 | Not Defined | 0.2% | transformers-4.51.3-py3-none-any.whl | Direct | N/A | ❌ | |
| CVE-2025-14921 | High |
7.8 | Not Defined | 0.2% | transformers-4.51.3-py3-none-any.whl | Direct | N/A | ❌ | |
| CVE-2025-14920 | High |
7.8 | Not Defined | 0.2% | transformers-4.51.3-py3-none-any.whl | Direct | N/A | ❌ | |
| CVE-2025-6638 | High |
7.5 | Not Defined | 0.1% | transformers-4.51.3-py3-none-any.whl | Direct | 4.53.0 | ✅ | |
| CVE-2025-68146 |  Medium |
6.3 | Not Defined | 0.0% | filelock-3.18.0-py3-none-any.whl | Transitive | N/A* | ❌ | |
| CVE-2026-22701 | Medium |
5.3 | Not Defined | filelock-3.18.0-py3-none-any.whl | Transitive | N/A* | ❌ | ||
| CVE-2025-6921 | Medium |
5.3 | Not Defined | 0.1% | transformers-4.51.3-py3-none-any.whl | Direct | 4.53.0 | ✅ | |
| CVE-2025-6051 | Medium |
5.3 | Not Defined | 0.1% | transformers-4.51.3-py3-none-any.whl | Direct | 4.53.0 | ✅ | |
| CVE-2025-5197 | Medium |
5.3 | Not Defined | 0.1% | transformers-4.51.3-py3-none-any.whl | Direct | 4.53.0 | ✅ | |
| CVE-2025-50182 | Medium |
5.3 | Not Defined | 0.0% | urllib3-2.4.0-py3-none-any.whl | Transitive | N/A* | ❌ | |
| CVE-2025-50181 | Medium |
5.3 | Not Defined | 0.0% | urllib3-2.4.0-py3-none-any.whl | Transitive | 4.52.1 | ✅ | |
| CVE-2025-3933 | Medium |
5.3 | Not Defined | 0.1% | transformers-4.51.3-py3-none-any.whl | Direct | 4.52.1 | ✅ | |
| CVE-2024-47081 | Medium |
5.3 | Not Defined | 0.1% | requests-2.32.3-py3-none-any.whl | Transitive | 4.52.1 | ✅ | |
| CVE-2025-3777 |  Low |
3.5 | Not Defined | 0.1% | transformers-4.51.3-py3-none-any.whl | Direct | 4.52.1 | ✅ |
*For some transitive vulnerabilities, there is no version of direct dependency with a fix. Check the "Details" section below to see if there is a version of transitive dependency where vulnerability is fixed.
**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation
Details
Partial details (21 vulnerabilities) are displayed below due to a content size limitation in GitHub. To view information on the remaining vulnerabilities, navigate to the Mend Application.
CVE-2026-21441
Vulnerable Library - urllib3-2.4.0-py3-none-any.whl
HTTP library with thread-safe connection pooling, file post, and more.
Library home page: https://files.pythonhosted.org/packages/6b/11/cc635220681e93a0183390e26485430ca2c7b5f9d33b15c74c2861cb8091/urllib3-2.4.0-py3-none-any.whl
Path to dependency file: /codegen1/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062152011/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062156481/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info
Dependency Hierarchy:
- transformers-4.51.3-py3-none-any.whl (Root Library)
- requests-2.32.3-py3-none-any.whl
- ❌ urllib3-2.4.0-py3-none-any.whl (Vulnerable Library)
- requests-2.32.3-py3-none-any.whl
Found in base branch: main
Vulnerability Details
urllib3 is an HTTP client library for Python. urllib3's streaming API is designed for the efficient handling of large HTTP responses by reading the content in chunks, rather than loading the entire response body into memory at once. urllib3 can perform decoding or decompression based on the HTTP "Content-Encoding" header (e.g., "gzip", "deflate", "br", or "zstd"). When using the streaming API, the library decompresses only the necessary bytes, enabling partial content consumption. Starting in version 1.22 and prior to version 2.6.3, for HTTP redirect responses, the library would read the entire response body to drain the connection and decompress the content unnecessarily. This decompression occurred even before any read methods were called, and configured read limits did not restrict the amount of decompressed data. As a result, there was no safeguard against decompression bombs. A malicious server could exploit this to trigger excessive resource consumption on the client. Applications and libraries are affected when they stream content from untrusted sources by setting "preload_content=False" when they do not disable redirects. Users should upgrade to at least urllib3 v2.6.3, in which the library does not decode content of redirect responses when "preload_content=False". If upgrading is not immediately possible, disable redirects by setting "redirect=False" for requests to untrusted source.
Publish Date: 2026-01-07
URL: CVE-2026-21441
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.0%
CVSS 3 Score Details (8.6)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Changed
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: High
Suggested Fix
Type: Upgrade version
Origin: GHSA-38jv-5279-wg99
Release Date: 2026-01-07
Fix Resolution (urllib3): 2.6.3
Direct dependency fix Resolution (transformers): 4.52.1
⛑️ Automatic Remediation will be attempted for this issue.
CVE-2025-66471
Vulnerable Library - urllib3-2.4.0-py3-none-any.whl
HTTP library with thread-safe connection pooling, file post, and more.
Library home page: https://files.pythonhosted.org/packages/6b/11/cc635220681e93a0183390e26485430ca2c7b5f9d33b15c74c2861cb8091/urllib3-2.4.0-py3-none-any.whl
Path to dependency file: /codegen1/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062152011/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062156481/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info
Dependency Hierarchy:
- transformers-4.51.3-py3-none-any.whl (Root Library)
- requests-2.32.3-py3-none-any.whl
- ❌ urllib3-2.4.0-py3-none-any.whl (Vulnerable Library)
- requests-2.32.3-py3-none-any.whl
Found in base branch: main
Vulnerability Details
urllib3 is a user-friendly HTTP client library for Python. Starting in version 1.0 and prior to 2.6.0, the Streaming API improperly handles highly compressed data. urllib3's streaming API is designed for the efficient handling of large HTTP responses by reading the content in chunks, rather than loading the entire response body into memory at once. When streaming a compressed response, urllib3 can perform decoding or decompression based on the HTTP Content-Encoding header (e.g., gzip, deflate, br, or zstd). The library must read compressed data from the network and decompress it until the requested chunk size is met. Any resulting decompressed data that exceeds the requested amount is held in an internal buffer for the next read operation. The decompression logic could cause urllib3 to fully decode a small amount of highly compressed data in a single operation. This can result in excessive resource consumption (high CPU usage and massive memory allocation for the decompressed data.
Publish Date: 2025-12-05
URL: CVE-2025-66471
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.0%
CVSS 3 Score Details (8.6)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Changed
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: High
Suggested Fix
Type: Upgrade version
Origin: GHSA-2xpw-w6gg-jr37
Release Date: 2025-12-05
Fix Resolution: urllib3 - 2.6.0,https://github.com/urllib3/urllib3.git - 2.6.0
CVE-2025-66418
Vulnerable Library - urllib3-2.4.0-py3-none-any.whl
HTTP library with thread-safe connection pooling, file post, and more.
Library home page: https://files.pythonhosted.org/packages/6b/11/cc635220681e93a0183390e26485430ca2c7b5f9d33b15c74c2861cb8091/urllib3-2.4.0-py3-none-any.whl
Path to dependency file: /codegen1/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062152011/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062156481/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info
Dependency Hierarchy:
- transformers-4.51.3-py3-none-any.whl (Root Library)
- requests-2.32.3-py3-none-any.whl
- ❌ urllib3-2.4.0-py3-none-any.whl (Vulnerable Library)
- requests-2.32.3-py3-none-any.whl
Found in base branch: main
Vulnerability Details
urllib3 is a user-friendly HTTP client library for Python. Starting in version 1.24 and prior to 2.6.0, the number of links in the decompression chain was unbounded allowing a malicious server to insert a virtually unlimited number of compression steps leading to high CPU usage and massive memory allocation for the decompressed data. This vulnerability is fixed in 2.6.0.
Publish Date: 2025-12-05
URL: CVE-2025-66418
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.0%
CVSS 3 Score Details (8.6)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Changed
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: High
Suggested Fix
Type: Upgrade version
Release Date: 2025-12-05
Fix Resolution: https://github.com/urllib3/urllib3.git - 2.6.0,urllib3 - 2.6.0
CVE-2025-14930
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the parsing of weights. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current process.
Publish Date: 2025-12-23
URL: CVE-2025-14930
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.2%
CVSS 3 Score Details (7.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Local
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
CVE-2025-14929
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the parsing of checkpoints. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current process.
Publish Date: 2025-12-23
URL: CVE-2025-14929
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.2%
CVSS 3 Score Details (7.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Local
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
CVE-2025-14928
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must convert a malicious checkpoint.
The specific flaw exists within the convert_config function. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current user.
Publish Date: 2025-12-23
URL: CVE-2025-14928
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.1%
CVSS 3 Score Details (7.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Local
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
CVE-2025-14927
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
Hugging Face Transformers SEW-D convert_config Code Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must convert a malicious checkpoint.
The specific flaw exists within the convert_config function. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current user.
. Was ZDI-CAN-28252.
Publish Date: 2025-12-23
URL: CVE-2025-14927
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.1%
CVSS 3 Score Details (7.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Local
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
CVE-2025-14926
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
Hugging Face Transformers SEW convert_config Code Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must convert a malicious checkpoint.
The specific flaw exists within the convert_config function. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-28251.
Publish Date: 2025-12-23
URL: CVE-2025-14926
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.1%
CVSS 3 Score Details (7.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Local
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
CVE-2025-14924
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the parsing of checkpoints. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current process.
Publish Date: 2025-12-23
URL: CVE-2025-14924
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.2%
CVSS 3 Score Details (7.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Local
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
CVE-2025-14921
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the parsing of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-25424.
Publish Date: 2025-12-23
URL: CVE-2025-14921
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.2%
CVSS 3 Score Details (7.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Local
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
CVE-2025-14920
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
Hugging Face Transformers Perceiver Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the parsing of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-25423.
Publish Date: 2025-12-23
URL: CVE-2025-14920
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.2%
CVSS 3 Score Details (7.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Local
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
CVE-2025-6638
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's "remove_language_code()" method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.
Publish Date: 2025-09-12
URL: CVE-2025-6638
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.1%
CVSS 3 Score Details (7.5)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: High
Suggested Fix
Type: Upgrade version
Origin: https://huntr.com/bounties/6a6c933f-9ce8-4ded-8b3b-2c1444c61f36
Release Date: 2025-09-12
Fix Resolution: 4.53.0
⛑️ Automatic Remediation will be attempted for this issue.
CVE-2025-68146
Vulnerable Library - filelock-3.18.0-py3-none-any.whl
A platform independent file lock.
Library home page: https://files.pythonhosted.org/packages/4d/36/2a115987e2d8c300a974597416d9de88f2444426de9571f4b59b2cca3acc/filelock-3.18.0-py3-none-any.whl
Path to dependency file: /codegen1/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062152011/env/lib/python3.9/site-packages/filelock-3.18.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/filelock-3.18.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062156481/env/lib/python3.9/site-packages/filelock-3.18.0.dist-info
Dependency Hierarchy:
- transformers-4.51.3-py3-none-any.whl (Root Library)
- ❌ filelock-3.18.0-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
filelock is a platform-independent file lock for Python. In versions prior to 3.20.1, a Time-of-Check-Time-of-Use (TOCTOU) race condition allows local attackers to corrupt or truncate arbitrary user files through symlink attacks. The vulnerability exists in both Unix and Windows lock file creation where filelock checks if a file exists before opening it with O_TRUNC. An attacker can create a symlink pointing to a victim file in the time gap between the check and open, causing os.open() to follow the symlink and truncate the target file. All users of filelock on Unix, Linux, macOS, and Windows systems are impacted. The vulnerability cascades to dependent libraries. The attack requires local filesystem access and ability to create symlinks (standard user permissions on Unix; Developer Mode on Windows 10+). Exploitation succeeds within 1-3 attempts when lock file paths are predictable. The issue is fixed in version 3.20.1. If immediate upgrade is not possible, use SoftFileLock instead of UnixFileLock/WindowsFileLock (note: different locking semantics, may not be suitable for all use cases); ensure lock file directories have restrictive permissions (chmod 0700) to prevent untrusted users from creating symlinks; and/or monitor lock file directories for suspicious symlinks before running trusted applications. These workarounds provide only partial mitigation. The race condition remains exploitable. Upgrading to version 3.20.1 is strongly recommended.
Publish Date: 2025-12-16
URL: CVE-2025-68146
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.0%
CVSS 3 Score Details (6.3)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Local
- Attack Complexity: High
- Privileges Required: Low
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: High
- Availability Impact: High
Suggested Fix
Type: Upgrade version
Release Date: 2025-12-16
Fix Resolution: filelock - 3.20.1
CVE-2026-22701
Vulnerable Library - filelock-3.18.0-py3-none-any.whl
A platform independent file lock.
Library home page: https://files.pythonhosted.org/packages/4d/36/2a115987e2d8c300a974597416d9de88f2444426de9571f4b59b2cca3acc/filelock-3.18.0-py3-none-any.whl
Path to dependency file: /codegen1/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062152011/env/lib/python3.9/site-packages/filelock-3.18.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/filelock-3.18.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062156481/env/lib/python3.9/site-packages/filelock-3.18.0.dist-info
Dependency Hierarchy:
- transformers-4.51.3-py3-none-any.whl (Root Library)
- ❌ filelock-3.18.0-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
filelock is a platform-independent file lock for Python. Prior to version 3.20.3, a TOCTOU race condition vulnerability exists in the SoftFileLock implementation of the filelock package. An attacker with local filesystem access and permission to create symlinks can exploit a race condition between the permission validation and file creation to cause lock operations to fail or behave unexpectedly. The vulnerability occurs in the _acquire() method between raise_on_not_writable_file() (permission check) and os.open() (file creation). During this race window, an attacker can create a symlink at the lock file path, potentially causing the lock to operate on an unintended target file or leading to denial of service. This issue has been patched in version 3.20.3.
Publish Date: 2026-01-10
URL: CVE-2026-22701
Threat Assessment
Exploit Maturity: Not Defined
EPSS:
CVSS 3 Score Details (5.3)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Local
- Attack Complexity: High
- Privileges Required: Low
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: Low
- Availability Impact: High
Suggested Fix
Type: Upgrade version
Release Date: 2026-01-10
Fix Resolution: filelock - 3.20.3,filelock - 3.20.3,https://github.com/tox-dev/filelock.git - 3.20.3
CVE-2025-6921
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer. The vulnerability arises from the _do_use_weight_decay method, which processes user-controlled regular expressions in the include_in_weight_decay and exclude_from_weight_decay lists. Malicious regular expressions can cause catastrophic backtracking during the re.search call, leading to 100% CPU utilization and a denial of service. This issue can be exploited by attackers who can control the patterns in these lists, potentially causing the machine learning task to hang and rendering services unresponsive.
Publish Date: 2025-09-23
URL: CVE-2025-6921
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.1%
CVSS 3 Score Details (5.3)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: Low
Suggested Fix
Type: Upgrade version
Origin: GHSA-4w7r-h757-3r74
Release Date: 2025-09-23
Fix Resolution: 4.53.0
⛑️ Automatic Remediation will be attempted for this issue.
CVE-2025-6051
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the "normalize_numbers()" method of the "EnglishNormalizer" class. This vulnerability affects versions up to 4.52.4 and is fixed in version 4.53.0. The issue arises from the method's handling of numeric strings, which can be exploited using crafted input strings containing long sequences of digits, leading to excessive CPU consumption. This vulnerability impacts text-to-speech and number normalization tasks, potentially causing service disruption, resource exhaustion, and API vulnerabilities.
Publish Date: 2025-09-14
URL: CVE-2025-6051
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.1%
CVSS 3 Score Details (5.3)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: Low
Suggested Fix
Type: Upgrade version
Release Date: 2025-09-14
Fix Resolution: 4.53.0
⛑️ Automatic Remediation will be attempted for this issue.
CVE-2025-5197
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
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.
Publish Date: 2025-08-06
URL: CVE-2025-5197
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.1%
CVSS 3 Score Details (5.3)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: Low
Suggested Fix
Type: Upgrade version
Origin: GHSA-9356-575x-2w9m
Release Date: 2025-08-06
Fix Resolution: 4.53.0
⛑️ Automatic Remediation will be attempted for this issue.
CVE-2025-50182
Vulnerable Library - urllib3-2.4.0-py3-none-any.whl
HTTP library with thread-safe connection pooling, file post, and more.
Library home page: https://files.pythonhosted.org/packages/6b/11/cc635220681e93a0183390e26485430ca2c7b5f9d33b15c74c2861cb8091/urllib3-2.4.0-py3-none-any.whl
Path to dependency file: /codegen1/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062152011/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062156481/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info
Dependency Hierarchy:
- transformers-4.51.3-py3-none-any.whl (Root Library)
- requests-2.32.3-py3-none-any.whl
- ❌ urllib3-2.4.0-py3-none-any.whl (Vulnerable Library)
- requests-2.32.3-py3-none-any.whl
Found in base branch: main
Vulnerability Details
urllib3 is a user-friendly HTTP client library for Python. Prior to 2.5.0, urllib3 does not control redirects in browsers and Node.js. urllib3 supports being used in a Pyodide runtime utilizing the JavaScript Fetch API or falling back on XMLHttpRequest. This means Python libraries can be used to make HTTP requests from a browser or Node.js. Additionally, urllib3 provides a mechanism to control redirects, but the retries and redirect parameters are ignored with Pyodide; the runtime itself determines redirect behavior. This issue has been patched in version 2.5.0.
Mend Note: The description of this vulnerability differs from MITRE.
Publish Date: 2025-06-19
URL: CVE-2025-50182
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.0%
CVSS 3 Score Details (5.3)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: High
- Privileges Required: Low
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: None
- Availability Impact: None
Suggested Fix
Type: Upgrade version
Release Date: 2025-06-19
Fix Resolution: urllib3 - 2.5.0,https://github.com/urllib3/urllib3.git - 2.5.0
CVE-2025-50181
Vulnerable Library - urllib3-2.4.0-py3-none-any.whl
HTTP library with thread-safe connection pooling, file post, and more.
Library home page: https://files.pythonhosted.org/packages/6b/11/cc635220681e93a0183390e26485430ca2c7b5f9d33b15c74c2861cb8091/urllib3-2.4.0-py3-none-any.whl
Path to dependency file: /codegen1/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062152011/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062156481/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/urllib3-2.4.0.dist-info
Dependency Hierarchy:
- transformers-4.51.3-py3-none-any.whl (Root Library)
- requests-2.32.3-py3-none-any.whl
- ❌ urllib3-2.4.0-py3-none-any.whl (Vulnerable Library)
- requests-2.32.3-py3-none-any.whl
Found in base branch: main
Vulnerability Details
urllib3 is a user-friendly HTTP client library for Python. Prior to 2.5.0, it is possible to disable redirects for all requests by instantiating a PoolManager and specifying retries in a way that disable redirects. By default, requests and botocore users are not affected. An application attempting to mitigate SSRF or open redirect vulnerabilities by disabling redirects at the PoolManager level will remain vulnerable. This issue has been patched in version 2.5.0.
Publish Date: 2025-06-19
URL: CVE-2025-50181
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.0%
CVSS 3 Score Details (5.3)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: High
- Privileges Required: Low
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: None
- Availability Impact: None
Suggested Fix
Type: Upgrade version
Release Date: 2025-06-19
Fix Resolution (urllib3): 2.5.0
Direct dependency fix Resolution (transformers): 4.52.1
⛑️ Automatic Remediation will be attempted for this issue.
CVE-2025-3933
Vulnerable Library - transformers-4.51.3-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl
Path to dependency file: /codegen25/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/transformers-4.51.3.dist-info
Dependency Hierarchy:
- ❌ transformers-4.51.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
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.
Mend Note: The description of this vulnerability differs from MITRE.
Publish Date: 2025-07-11
URL: CVE-2025-3933
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.1%
CVSS 3 Score Details (5.3)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: Low
Suggested Fix
Type: Upgrade version
Release Date: 2025-07-11
Fix Resolution: 4.52.1
⛑️ Automatic Remediation will be attempted for this issue.
CVE-2024-47081
Vulnerable Library - requests-2.32.3-py3-none-any.whl
Python HTTP for Humans.
Library home page: https://files.pythonhosted.org/packages/f9/9b/335f9764261e915ed497fcdeb11df5dfd6f7bf257d4a6a2a686d80da4d54/requests-2.32.3-py3-none-any.whl
Path to dependency file: /codegen2/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062156481/env/lib/python3.9/site-packages/requests-2.32.3.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062152011/env/lib/python3.9/site-packages/requests-2.32.3.dist-info,/tmp/ws-ua_20250506215158_UISJUQ/python_NYUUEN/202505062157231/env/lib/python3.9/site-packages/requests-2.32.3.dist-info
Dependency Hierarchy:
- transformers-4.51.3-py3-none-any.whl (Root Library)
- ❌ requests-2.32.3-py3-none-any.whl (Vulnerable Library)
Found in base branch: main
Vulnerability Details
Requests is a HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with "trust_env=False" on one's Requests Session.
Mend Note: The description of this vulnerability differs from MITRE.
Publish Date: 2025-06-09
URL: CVE-2024-47081
Threat Assessment
Exploit Maturity: Not Defined
EPSS: 0.1%
CVSS 3 Score Details (5.3)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: High
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: None
- Availability Impact: None
Suggested Fix
Type: Upgrade version
Origin: GHSA-9hjg-9r4m-mvj7
Release Date: 2025-06-09
Fix Resolution (requests): 2.32.4
Direct dependency fix Resolution (transformers): 4.52.1
⛑️ Automatic Remediation will be attempted for this issue.
⛑️Automatic Remediation will be attempted for this issue.