mend-bolt-for-github[bot]
commented
2 months ago :heavy_check_mark: This issue was automatically closed by Mend because the vulnerable library in the specific branch(es) was either marked as ignored or it is no longer part of the Mend inventory.
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/5b/0b/e45d26ccd28568013523e04f325432ea88a442b4e3020b757cf4361f0120/transformers-4.30.2-py3-none-any.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Vulnerabilities
**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation
Details
CVE-2023-6730
### Vulnerable Library - transformers-4.30.2-py3-none-any.whlState-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/5b/0b/e45d26ccd28568013523e04f325432ea88a442b4e3020b757cf4361f0120/transformers-4.30.2-py3-none-any.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt
Dependency Hierarchy: - :x: **transformers-4.30.2-py3-none-any.whl** (Vulnerable Library)
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
### Vulnerability DetailsDeserialization 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
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://huntr.com/bounties/423611ee-7a2a-442a-babb-3ed2f8385c16/
Release Date: 2023-12-19
Fix Resolution: transformers - 4.36.0
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CVE-2023-7018
### Vulnerable Library - transformers-4.30.2-py3-none-any.whlState-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/5b/0b/e45d26ccd28568013523e04f325432ea88a442b4e3020b757cf4361f0120/transformers-4.30.2-py3-none-any.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt
Dependency Hierarchy: - :x: **transformers-4.30.2-py3-none-any.whl** (Vulnerable Library)
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
### Vulnerability DetailsDeserialization 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
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2023-7018
Release Date: 2023-12-20
Fix Resolution: transformers - 4.36.0
Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2024-3568
### Vulnerable Library - transformers-4.30.2-py3-none-any.whlState-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Library home page: https://files.pythonhosted.org/packages/5b/0b/e45d26ccd28568013523e04f325432ea88a442b4e3020b757cf4361f0120/transformers-4.30.2-py3-none-any.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt
Dependency Hierarchy: - :x: **transformers-4.30.2-py3-none-any.whl** (Vulnerable Library)
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
### Vulnerability DetailsThe 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
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2024-3568
Release Date: 2024-04-10
Fix Resolution: transformers - 4.38
Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)