transformers-4.36.0-py3-none-any.whl: 24 vulnerabilities (highest severity is: 8.8) #60
Description
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
Vulnerabilities
| Vulnerability | Severity |  CVSS |
Dependency | Type | Fixed in (transformers version) | Remediation Possible** |
|---|---|---|---|---|---|---|
| CVE-2024-11394 |  High |
8.8 | transformers-4.36.0-py3-none-any.whl | Direct | 4.48.0 | ❌ |
| CVE-2024-11393 | High |
8.8 | transformers-4.36.0-py3-none-any.whl | Direct | 4.48.0 | ❌ |
| CVE-2025-14930 | High |
7.8 | transformers-4.36.0-py3-none-any.whl | Direct | N/A | ❌ |
| CVE-2025-14929 | High |
7.8 | transformers-4.36.0-py3-none-any.whl | Direct | N/A | ❌ |
| CVE-2025-14928 | High |
7.8 | transformers-4.36.0-py3-none-any.whl | Direct | N/A | ❌ |
| CVE-2025-14927 | High |
7.8 | transformers-4.36.0-py3-none-any.whl | Direct | N/A | ❌ |
| CVE-2025-14926 | High |
7.8 | transformers-4.36.0-py3-none-any.whl | Direct | N/A | ❌ |
| CVE-2025-14924 | High |
7.8 | transformers-4.36.0-py3-none-any.whl | Direct | N/A | ❌ |
| CVE-2025-14921 | High |
7.8 | transformers-4.36.0-py3-none-any.whl | Direct | N/A | ❌ |
| CVE-2025-14920 | High |
7.8 | transformers-4.36.0-py3-none-any.whl | Direct | N/A | ❌ |
| CVE-2025-3262 | High |
7.5 | transformers-4.36.0-py3-none-any.whl | Direct | 4.51.0 | ❌ |
| CVE-2025-2099 | High |
7.5 | transformers-4.36.0-py3-none-any.whl | Direct | 4.50.0 | ❌ |
| CVE-2024-11392 | High |
7.5 | transformers-4.36.0-py3-none-any.whl | Direct | 4.48.0 | ❌ |
| CVE-2025-6921 |  Medium |
5.3 | transformers-4.36.0-py3-none-any.whl | Direct | 4.53.0 | ❌ |
| CVE-2025-6638 | Medium |
5.3 | transformers-4.36.0-py3-none-any.whl | Direct | 4.53.0 | ❌ |
| CVE-2025-6051 | Medium |
5.3 | transformers-4.36.0-py3-none-any.whl | Direct | 4.53.0 | ❌ |
| CVE-2025-5197 | Medium |
5.3 | transformers-4.36.0-py3-none-any.whl | Direct | 4.53.0 | ❌ |
| CVE-2025-3933 | Medium |
5.3 | transformers-4.36.0-py3-none-any.whl | Direct | 4.52.1 | ❌ |
| CVE-2025-3264 | Medium |
5.3 | transformers-4.36.0-py3-none-any.whl | Direct | 4.51.0 | ❌ |
| CVE-2025-3263 | Medium |
5.3 | transformers-4.36.0-py3-none-any.whl | Direct | 4.51.0 | ❌ |
| CVE-2024-12720 | Medium |
5.3 | transformers-4.36.0-py3-none-any.whl | Direct | 4.48.0 | ❌ |
| CVE-2025-1194 | Medium |
4.3 | transformers-4.36.0-py3-none-any.whl | Direct | transformers - 4.50.0,https://github.com/huggingface/transformers.git - v4.50.0 | ❌ |
| CVE-2025-3777 |  Low |
3.5 | transformers-4.36.0-py3-none-any.whl | Direct | 4.52.1 | ❌ |
| CVE-2024-3568 | Low |
3.4 | transformers-4.36.0-py3-none-any.whl | Direct | 4.38.0 | ❌ |
**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-2024-11394
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
Found in base branch: main
Vulnerability Details
Hugging Face Transformers Trax 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 handling 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-25012.
Mend Note: The description of this vulnerability differs from MITRE.
Publish Date: 2024-11-22
URL: CVE-2024-11394
CVSS 3 Score Details (8.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
Suggested Fix
Type: Upgrade version
Release Date: 2024-11-22
Fix Resolution: 4.48.0
Step up your Open Source Security Game with Mend here
CVE-2024-11393
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
Found in base branch: main
Vulnerability Details
Hugging Face Transformers MaskFormer 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-25191.
Mend Note: The description of this vulnerability differs from MITRE.
Publish Date: 2024-11-22
URL: CVE-2024-11393
CVSS 3 Score Details (8.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
Suggested Fix
Type: Upgrade version
Release Date: 2024-11-22
Fix Resolution: 4.48.0
Step up your Open Source Security Game with Mend here
CVE-2025-14930
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
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
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
Step up your Open Source Security Game with Mend here
CVE-2025-14929
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
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
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
Step up your Open Source Security Game with Mend here
CVE-2025-14928
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
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
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
Step up your Open Source Security Game with Mend here
CVE-2025-14927
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
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
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
Step up your Open Source Security Game with Mend here
CVE-2025-14926
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
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
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
Step up your Open Source Security Game with Mend here
CVE-2025-14924
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
Found in base branch: main
Vulnerability Details
Hugging Face Transformers megatron_gpt2 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.\n\nThe 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. Was ZDI-CAN-27984.
Mend Note: The description of this vulnerability differs from MITRE.
Publish Date: 2025-12-23
URL: CVE-2025-14924
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
Step up your Open Source Security Game with Mend here
CVE-2025-14921
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
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
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
Step up your Open Source Security Game with Mend here
CVE-2025-14920
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
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
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
Step up your Open Source Security Game with Mend here
CVE-2025-3262
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
Found in base branch: main
Vulnerability Details
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the huggingface/transformers repository, specifically in version 4.49.0. The vulnerability is due to inefficient regular expression complexity in the "SETTING_RE" variable within the "transformers/commands/chat.py" file. The regex contains repetition groups and non-optimized quantifiers, leading to exponential backtracking when processing 'almost matching' payloads. This can degrade application performance and potentially result in a denial-of-service (DoS) when handling specially crafted input strings. The issue is fixed in version 4.51.0.
Mend Note: The description of this vulnerability differs from MITRE.
Publish Date: 2025-07-07
URL: CVE-2025-3262
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
Release Date: 2025-07-07
Fix Resolution: 4.51.0
Step up your Open Source Security Game with Mend here
CVE-2025-2099
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
Found in base branch: main
Vulnerability Details
A vulnerability in the "preprocess_string()" function of the "transformers.testing_utils" module in huggingface/transformers version v4.48.3 allows for a Regular Expression Denial of Service (ReDoS) attack. The regular expression used to process code blocks in docstrings contains nested quantifiers, leading to exponential backtracking when processing input with a large number of newline characters. An attacker can exploit this by providing a specially crafted payload, causing high CPU usage and potential application downtime, effectively resulting in a Denial of Service (DoS) scenario.
Publish Date: 2025-05-19
URL: CVE-2025-2099
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: GHSA-qq3j-4f4f-9583
Release Date: 2025-05-19
Fix Resolution: 4.50.0
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CVE-2024-11392
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
Found in base branch: main
Vulnerability Details
Hugging Face Transformers MobileViTV2 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 handling of configuration 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-24322.
Mend Note: The description of this vulnerability differs from MITRE.
Publish Date: 2024-11-22
URL: CVE-2024-11392
CVSS 3 Score Details (7.5)
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: High
- Availability Impact: High
Suggested Fix
Type: Upgrade version
Origin: https://nvd.nist.gov/vuln/detail/CVE-2024-11392
Release Date: 2024-11-22
Fix Resolution: 4.48.0
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CVE-2025-6921
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
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
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
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CVE-2025-6638
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
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
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: https://huntr.com/bounties/6a6c933f-9ce8-4ded-8b3b-2c1444c61f36
Release Date: 2025-09-12
Fix Resolution: 4.53.0
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CVE-2025-6051
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
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
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
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CVE-2025-5197
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
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
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
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CVE-2025-3933
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
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
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
Step up your Open Source Security Game with Mend here
CVE-2025-3264
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
Found in base branch: main
Vulnerability Details
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically in the "get_imports()" function within "dynamic_module_utils.py". This vulnerability affects versions 4.49.0 and is fixed in version 4.51.0. The issue arises from a regular expression pattern "\stry\s:.?except.?:" used to filter out try/except blocks from Python code, which can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. This vulnerability can lead to remote code loading disruption, resource exhaustion in model serving, supply chain attack vectors, and development pipeline disruption.
Mend Note: The description of this vulnerability differs from MITRE.
Publish Date: 2025-07-07
URL: CVE-2025-3264
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: 2025-07-07
Fix Resolution: 4.51.0
Step up your Open Source Security Game with Mend here
CVE-2025-3263
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
Found in base branch: main
Vulnerability Details
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically in the "get_configuration_file()" function within the "transformers.configuration_utils" module. The affected version is 4.49.0, and the issue is resolved in version 4.51.0. The vulnerability arises from the use of a regular expression pattern "config.(.*).json" that can be exploited to cause excessive CPU consumption through crafted input strings, leading to catastrophic backtracking. This can result in model serving disruption, resource exhaustion, and increased latency in applications using the library.
Mend Note: The description of this vulnerability differs from MITRE.
Publish Date: 2025-07-07
URL: CVE-2025-3263
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: 2025-07-07
Fix Resolution: 4.51.0
Step up your Open Source Security Game with Mend here
CVE-2024-12720
Vulnerable Library - transformers-4.36.0-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl
Path to dependency file: /ai/requirements.txt
Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/10/transformers-4.36.0-py3-none-any.whl
Dependency Hierarchy:
- ❌ transformers-4.36.0-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183
Found in base branch: main
Vulnerability Details
A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, specifically in the file tokenization_nougat_fast.py. The vulnerability occurs in the post_process_single() function, where a regular expression processes specially crafted input. The issue stems from the regex exhibiting exponential time complexity under certain conditions, leading to excessive backtracking. This can result in significantly high CPU usage and potential application downtime, effectively creating a Denial of Service (DoS) scenario. The affected version is v4.46.3 (latest).
Publish Date: 2025-03-20
URL: CVE-2024-12720
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: https://nvd.nist.gov/vuln/detail/CVE-2024-12720
Release Date: 2025-03-20
Fix Resolution: 4.48.0
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