transformers-4.26.1-py3-none-any.whl: 7 vulnerabilities (highest severity is: 8.8)
Opened this issue · 2 comments
Vulnerable Library - transformers-4.26.1-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/1e/e2/60c3f4691b16d126ee9cfe28f598b13c424b60350ab339aba81aef054b8f/transformers-4.26.1-py3-none-any.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Found in HEAD commit: c10d867070bd480fefc55e8b61666f58cb3fcfdc
Vulnerabilities
CVE | Severity | CVSS | Dependency | Type | Fixed in (transformers version) | Remediation Possible** |
---|---|---|---|---|---|---|
CVE-2024-11394 | High | 8.8 | transformers-4.26.1-py3-none-any.whl | Direct | transformers - 4.33.0,4.19.4,4.16.1,4.22.1,4.26.0,4.30.0 | ❌ |
CVE-2024-11393 | High | 8.8 | transformers-4.26.1-py3-none-any.whl | Direct | transformers - 4.22.1,4.33.0,4.26.0,4.19.4,4.16.1,4.30.0 | ❌ |
CVE-2024-11392 | High | 8.8 | transformers-4.26.1-py3-none-any.whl | Direct | transformers - 4.22.1,4.16.1,4.26.0,4.30.0,4.33.0,4.19.4 | ❌ |
CVE-2023-6730 | High | 8.8 | transformers-4.26.1-py3-none-any.whl | Direct | 4.36.0 | ❌ |
CVE-2023-7018 | High | 7.8 | transformers-4.26.1-py3-none-any.whl | Direct | 4.36.0 | ❌ |
CVE-2023-2800 | Medium | 4.7 | transformers-4.26.1-py3-none-any.whl | Direct | 4.30.1 | ❌ |
CVE-2024-3568 | Low | 3.4 | transformers-4.26.1-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
CVE-2024-11394
Vulnerable Library - transformers-4.26.1-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/1e/e2/60c3f4691b16d126ee9cfe28f598b13c424b60350ab339aba81aef054b8f/transformers-4.26.1-py3-none-any.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy:
- ❌ transformers-4.26.1-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: c10d867070bd480fefc55e8b61666f58cb3fcfdc
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 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.
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
Origin: https://nvd.nist.gov/vuln/detail/CVE-2024-11394
Release Date: 2024-11-18
Fix Resolution: transformers - 4.33.0,4.19.4,4.16.1,4.22.1,4.26.0,4.30.0
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CVE-2024-11393
Vulnerable Library - transformers-4.26.1-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/1e/e2/60c3f4691b16d126ee9cfe28f598b13c424b60350ab339aba81aef054b8f/transformers-4.26.1-py3-none-any.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy:
- ❌ transformers-4.26.1-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: c10d867070bd480fefc55e8b61666f58cb3fcfdc
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 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.
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
Origin: https://nvd.nist.gov/vuln/detail/CVE-2024-11393
Release Date: 2024-11-18
Fix Resolution: transformers - 4.22.1,4.33.0,4.26.0,4.19.4,4.16.1,4.30.0
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CVE-2024-11392
Vulnerable Library - transformers-4.26.1-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/1e/e2/60c3f4691b16d126ee9cfe28f598b13c424b60350ab339aba81aef054b8f/transformers-4.26.1-py3-none-any.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy:
- ❌ transformers-4.26.1-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: c10d867070bd480fefc55e8b61666f58cb3fcfdc
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 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.
Publish Date: 2024-11-22
URL: CVE-2024-11392
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
Origin: https://nvd.nist.gov/vuln/detail/CVE-2024-11392
Release Date: 2024-11-18
Fix Resolution: transformers - 4.22.1,4.16.1,4.26.0,4.30.0,4.33.0,4.19.4
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CVE-2023-6730
Vulnerable Library - transformers-4.26.1-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/1e/e2/60c3f4691b16d126ee9cfe28f598b13c424b60350ab339aba81aef054b8f/transformers-4.26.1-py3-none-any.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy:
- ❌ transformers-4.26.1-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: c10d867070bd480fefc55e8b61666f58cb3fcfdc
Found in base branch: main
Vulnerability Details
Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36.
Publish Date: 2023-12-19
URL: CVE-2023-6730
CVSS 3 Score Details (8.8)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: Low
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
Suggested Fix
Type: Upgrade version
Origin: https://huntr.com/bounties/423611ee-7a2a-442a-babb-3ed2f8385c16/
Release Date: 2023-12-19
Fix Resolution: 4.36.0
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CVE-2023-7018
Vulnerable Library - transformers-4.26.1-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/1e/e2/60c3f4691b16d126ee9cfe28f598b13c424b60350ab339aba81aef054b8f/transformers-4.26.1-py3-none-any.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy:
- ❌ transformers-4.26.1-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: c10d867070bd480fefc55e8b61666f58cb3fcfdc
Found in base branch: main
Vulnerability Details
Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36.
Publish Date: 2023-12-20
URL: CVE-2023-7018
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
Suggested Fix
Type: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2023-7018
Release Date: 2023-12-20
Fix Resolution: 4.36.0
Step up your Open Source Security Game with Mend here
CVE-2023-2800
Vulnerable Library - transformers-4.26.1-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/1e/e2/60c3f4691b16d126ee9cfe28f598b13c424b60350ab339aba81aef054b8f/transformers-4.26.1-py3-none-any.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy:
- ❌ transformers-4.26.1-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: c10d867070bd480fefc55e8b61666f58cb3fcfdc
Found in base branch: main
Vulnerability Details
Insecure Temporary File in GitHub repository huggingface/transformers prior to 4.30.0.
Publish Date: 2023-05-18
URL: CVE-2023-2800
CVSS 3 Score Details (4.7)
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: None
- Availability Impact: High
Suggested Fix
Type: Upgrade version
Origin: https://huntr.dev/bounties/a3867b4e-6701-4418-8c20-3c6e7084a44a/
Release Date: 2023-05-18
Fix Resolution: 4.30.1
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CVE-2024-3568
Vulnerable Library - transformers-4.26.1-py3-none-any.whl
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/1e/e2/60c3f4691b16d126ee9cfe28f598b13c424b60350ab339aba81aef054b8f/transformers-4.26.1-py3-none-any.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy:
- ❌ transformers-4.26.1-py3-none-any.whl (Vulnerable Library)
Found in HEAD commit: c10d867070bd480fefc55e8b61666f58cb3fcfdc
Found in base branch: main
Vulnerability Details
The huggingface/transformers library is vulnerable to arbitrary code execution through deserialization of untrusted data within the load_repo_checkpoint()
function of the TFPreTrainedModel()
class. Attackers can execute arbitrary code and commands by crafting a malicious serialized payload, exploiting the use of pickle.load()
on data from potentially untrusted sources. This vulnerability allows for remote code execution (RCE) by deceiving victims into loading a seemingly harmless checkpoint during a normal training process, thereby enabling attackers to execute arbitrary code on the targeted machine.
Publish Date: 2024-04-10
URL: CVE-2024-3568
CVSS 3 Score Details (3.4)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: High
- Privileges Required: None
- User Interaction: Required
- Scope: Changed
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: Low
Suggested Fix
Type: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2024-3568
Release Date: 2024-04-10
Fix Resolution: 4.38.0
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Micro-Learning Topic: Vulnerable library (Detected by phrase)
Matched on "Vulnerable Library"
Use of vulnerable components will introduce weaknesses into the application. Components with published vulnerabilities will allow easy exploitation as resources will often be available to automate the process.
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Micro-Learning Topic: Deserialization of untrusted data (Detected by phrase)
Matched on "Deserialization of Untrusted Data"
It is often convenient to serialize objects for communication or to save them for later use. However, serialized data or code can be modified. This malformed data or unexpected data could be used to abuse application logic, deny service, or execute arbitrary code when deserialized. This is usually done with "gadget chains
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Helpful references
- OWASP Deserialization Cheat Sheet - This cheatsheet is focused on providing clear, simple, actionable guidance for preventing deserialization flaws in your applications.
- OWASP Deserialization of untrusted data - OWASP community page with comprehensive information about deserialization vulnerabilities, and links to various OWASP resources to help detect or prevent it.
- OWASP Top Ten 2017 A8: Insecure Deserialization - OWASP Top Ten articles provide basic techniques to protect against these high risk problem areas, and guidance on where to go next.