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KOSASIH / mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.
https://mmsegmentation.readthedocs.io/en/latest/
Apache License 2.0
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transformers-4.19.2-py3-none-any.whl: 12 vulnerabilities (highest severity is: 8.8) #7

Open mend-bolt-for-github[bot] opened 1 year ago

mend-bolt-for-github[bot] commented 1 year ago
Vulnerable Library - transformers-4.19.2-py3-none-any.whl

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Library home page: https://files.pythonhosted.org/packages/52/82/b62f139e77c70fab2763d99d83a77a27a179502430851144a1765e37f5ad/transformers-4.19.2-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

Vulnerabilities

CVE Severity CVSS Dependency Type Fixed in (transformers version) Remediation Possible**
CVE-2024-11394 High 8.8 transformers-4.19.2-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-4.19.2-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-2023-6730 High 8.8 transformers-4.19.2-py3-none-any.whl Direct 4.36.0 ❌
CVE-2023-7018 High 7.8 transformers-4.19.2-py3-none-any.whl Direct 4.36.0 ❌
CVE-2024-39689 High 7.5 certifi-2023.7.22-py3-none-any.whl Transitive 4.19.3 ❌
CVE-2024-3651 High 7.5 idna-3.4-py3-none-any.whl Transitive N/A* ❌
CVE-2024-11392 High 7.5 transformers-4.19.2-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-2023-43804 Medium 5.9 urllib3-1.26.16-py2.py3-none-any.whl Transitive 4.19.3 ❌
CVE-2023-2800 Medium 4.7 transformers-4.19.2-py3-none-any.whl Direct 4.30.1 ❌
CVE-2024-37891 Medium 4.4 urllib3-1.26.16-py2.py3-none-any.whl Transitive 4.19.3 ❌
CVE-2023-45803 Medium 4.2 urllib3-1.26.16-py2.py3-none-any.whl Transitive 4.19.3 ❌
CVE-2024-3568 Low 3.4 transformers-4.19.2-py3-none-any.whl Direct 4.38.0 ❌

*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

CVE-2024-11394 ### Vulnerable Library - transformers-4.19.2-py3-none-any.whl

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Library home page: https://files.pythonhosted.org/packages/52/82/b62f139e77c70fab2763d99d83a77a27a179502430851144a1765e37f5ad/transformers-4.19.2-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - :x: **transformers-4.19.2-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

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

For more information on CVSS3 Scores, click here.

### 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

Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2024-11393 ### Vulnerable Library - transformers-4.19.2-py3-none-any.whl

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Library home page: https://files.pythonhosted.org/packages/52/82/b62f139e77c70fab2763d99d83a77a27a179502430851144a1765e37f5ad/transformers-4.19.2-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - :x: **transformers-4.19.2-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

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

For more information on CVSS3 Scores, click here.

### 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

Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2023-6730 ### Vulnerable Library - transformers-4.19.2-py3-none-any.whl

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Library home page: https://files.pythonhosted.org/packages/52/82/b62f139e77c70fab2763d99d83a77a27a179502430851144a1765e37f5ad/transformers-4.19.2-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - :x: **transformers-4.19.2-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

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

For more information on CVSS3 Scores, click here.

### 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

Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2023-7018 ### Vulnerable Library - transformers-4.19.2-py3-none-any.whl

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Library home page: https://files.pythonhosted.org/packages/52/82/b62f139e77c70fab2763d99d83a77a27a179502430851144a1765e37f5ad/transformers-4.19.2-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - :x: **transformers-4.19.2-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

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

For more information on CVSS3 Scores, click here.

### 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](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2024-39689 ### Vulnerable Library - certifi-2023.7.22-py3-none-any.whl

Python package for providing Mozilla's CA Bundle.

Library home page: https://files.pythonhosted.org/packages/4c/dd/2234eab22353ffc7d94e8d13177aaa050113286e93e7b40eae01fbf7c3d9/certifi-2023.7.22-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - transformers-4.19.2-py3-none-any.whl (Root Library) - requests-2.31.0-py3-none-any.whl - :x: **certifi-2023.7.22-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

Found in base branch: main

### Vulnerability Details

Certifi is a curated collection of Root Certificates for validating the trustworthiness of SSL certificates while verifying the identity of TLS hosts. Certifi starting in 2021.05.30 and prior to 2024.07.4 recognized root certificates from `GLOBALTRUST`. Certifi 2024.07.04 removes root certificates from `GLOBALTRUST` from the root store. These are in the process of being removed from Mozilla's trust store. `GLOBALTRUST`'s root certificates are being removed pursuant to an investigation which identified "long-running and unresolved compliance issues."

Publish Date: 2024-07-05

URL: CVE-2024-39689

### 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: High - Availability Impact: None

For more information on CVSS3 Scores, click here.

### Suggested Fix

Type: Upgrade version

Origin: https://github.com/certifi/python-certifi/security/advisories/GHSA-248v-346w-9cwc

Release Date: 2024-07-05

Fix Resolution (certifi): 2024.7.4

Direct dependency fix Resolution (transformers): 4.19.3

Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2024-3651 ### Vulnerable Library - idna-3.4-py3-none-any.whl

Internationalized Domain Names in Applications (IDNA)

Library home page: https://files.pythonhosted.org/packages/fc/34/3030de6f1370931b9dbb4dad48f6ab1015ab1d32447850b9fc94e60097be/idna-3.4-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - transformers-4.19.2-py3-none-any.whl (Root Library) - requests-2.31.0-py3-none-any.whl - :x: **idna-3.4-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

Found in base branch: main

### Vulnerability Details

A vulnerability was identified in the kjd/idna library, specifically within the `idna.encode()` function, affecting version 3.6. The issue arises from the function's handling of crafted input strings, which can lead to quadratic complexity and consequently, a denial of service condition. This vulnerability is triggered by a crafted input that causes the `idna.encode()` function to process the input with considerable computational load, significantly increasing the processing time in a quadratic manner relative to the input size.

Publish Date: 2024-07-07

URL: CVE-2024-3651

### 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

For more information on CVSS3 Scores, click here.

### Suggested Fix

Type: Upgrade version

Origin: https://www.cve.org/CVERecord?id=CVE-2024-3651

Release Date: 2024-07-07

Fix Resolution: idna - 3.7

Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2024-11392 ### Vulnerable Library - transformers-4.19.2-py3-none-any.whl

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Library home page: https://files.pythonhosted.org/packages/52/82/b62f139e77c70fab2763d99d83a77a27a179502430851144a1765e37f5ad/transformers-4.19.2-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - :x: **transformers-4.19.2-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

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 (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

For more information on CVSS3 Scores, click here.

### 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

Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2023-43804 ### Vulnerable Library - urllib3-1.26.16-py2.py3-none-any.whl

HTTP library with thread-safe connection pooling, file post, and more.

Library home page: https://files.pythonhosted.org/packages/c5/05/c214b32d21c0b465506f95c4f28ccbcba15022e000b043b72b3df7728471/urllib3-1.26.16-py2.py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - transformers-4.19.2-py3-none-any.whl (Root Library) - requests-2.31.0-py3-none-any.whl - :x: **urllib3-1.26.16-py2.py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

Found in base branch: main

### Vulnerability Details

urllib3 is a user-friendly HTTP client library for Python. urllib3 doesn't treat the `Cookie` HTTP header special or provide any helpers for managing cookies over HTTP, that is the responsibility of the user. However, it is possible for a user to specify a `Cookie` header and unknowingly leak information via HTTP redirects to a different origin if that user doesn't disable redirects explicitly. This issue has been patched in urllib3 version 1.26.17 or 2.0.5.

Publish Date: 2023-10-04

URL: CVE-2023-43804

### CVSS 3 Score Details (5.9)

Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: High - Privileges Required: High - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: High - Availability Impact: None

For more information on CVSS3 Scores, click here.

### Suggested Fix

Type: Upgrade version

Origin: https://www.cve.org/CVERecord?id=CVE-2023-43804

Release Date: 2023-10-04

Fix Resolution (urllib3): 1.26.17

Direct dependency fix Resolution (transformers): 4.19.3

Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2023-2800 ### Vulnerable Library - transformers-4.19.2-py3-none-any.whl

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Library home page: https://files.pythonhosted.org/packages/52/82/b62f139e77c70fab2763d99d83a77a27a179502430851144a1765e37f5ad/transformers-4.19.2-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - :x: **transformers-4.19.2-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

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

For more information on CVSS3 Scores, click here.

### 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

Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2024-37891 ### Vulnerable Library - urllib3-1.26.16-py2.py3-none-any.whl

HTTP library with thread-safe connection pooling, file post, and more.

Library home page: https://files.pythonhosted.org/packages/c5/05/c214b32d21c0b465506f95c4f28ccbcba15022e000b043b72b3df7728471/urllib3-1.26.16-py2.py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - transformers-4.19.2-py3-none-any.whl (Root Library) - requests-2.31.0-py3-none-any.whl - :x: **urllib3-1.26.16-py2.py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

Found in base branch: main

### Vulnerability Details

urllib3 is a user-friendly HTTP client library for Python. When using urllib3's proxy support with `ProxyManager`, the `Proxy-Authorization` header is only sent to the configured proxy, as expected. However, when sending HTTP requests *without* using urllib3's proxy support, it's possible to accidentally configure the `Proxy-Authorization` header even though it won't have any effect as the request is not using a forwarding proxy or a tunneling proxy. In those cases, urllib3 doesn't treat the `Proxy-Authorization` HTTP header as one carrying authentication material and thus doesn't strip the header on cross-origin redirects. Because this is a highly unlikely scenario, we believe the severity of this vulnerability is low for almost all users. Out of an abundance of caution urllib3 will automatically strip the `Proxy-Authorization` header during cross-origin redirects to avoid the small chance that users are doing this on accident. Users should use urllib3's proxy support or disable automatic redirects to achieve safe processing of the `Proxy-Authorization` header, but we still decided to strip the header by default in order to further protect users who aren't using the correct approach. We believe the number of usages affected by this advisory is low. It requires all of the following to be true to be exploited: 1. Setting the `Proxy-Authorization` header without using urllib3's built-in proxy support. 2. Not disabling HTTP redirects. 3. Either not using an HTTPS origin server or for the proxy or target origin to redirect to a malicious origin. Users are advised to update to either version 1.26.19 or version 2.2.2. Users unable to upgrade may use the `Proxy-Authorization` header with urllib3's `ProxyManager`, disable HTTP redirects using `redirects=False` when sending requests, or not user the `Proxy-Authorization` header as mitigations.

Publish Date: 2024-06-17

URL: CVE-2024-37891

### CVSS 3 Score Details (4.4)

Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: High - Privileges Required: High - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: None - Availability Impact: None

For more information on CVSS3 Scores, click here.

### Suggested Fix

Type: Upgrade version

Origin: https://github.com/urllib3/urllib3/security/advisories/GHSA-34jh-p97f-mpxf

Release Date: 2024-06-17

Fix Resolution (urllib3): 1.26.19

Direct dependency fix Resolution (transformers): 4.19.3

Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2023-45803 ### Vulnerable Library - urllib3-1.26.16-py2.py3-none-any.whl

HTTP library with thread-safe connection pooling, file post, and more.

Library home page: https://files.pythonhosted.org/packages/c5/05/c214b32d21c0b465506f95c4f28ccbcba15022e000b043b72b3df7728471/urllib3-1.26.16-py2.py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - transformers-4.19.2-py3-none-any.whl (Root Library) - requests-2.31.0-py3-none-any.whl - :x: **urllib3-1.26.16-py2.py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

Found in base branch: main

### Vulnerability Details

urllib3 is a user-friendly HTTP client library for Python. urllib3 previously wouldn't remove the HTTP request body when an HTTP redirect response using status 301, 302, or 303 after the request had its method changed from one that could accept a request body (like `POST`) to `GET` as is required by HTTP RFCs. Although this behavior is not specified in the section for redirects, it can be inferred by piecing together information from different sections and we have observed the behavior in other major HTTP client implementations like curl and web browsers. Because the vulnerability requires a previously trusted service to become compromised in order to have an impact on confidentiality we believe the exploitability of this vulnerability is low. Additionally, many users aren't putting sensitive data in HTTP request bodies, if this is the case then this vulnerability isn't exploitable. Both of the following conditions must be true to be affected by this vulnerability: 1. Using urllib3 and submitting sensitive information in the HTTP request body (such as form data or JSON) and 2. The origin service is compromised and starts redirecting using 301, 302, or 303 to a malicious peer or the redirected-to service becomes compromised. This issue has been addressed in versions 1.26.18 and 2.0.7 and users are advised to update to resolve this issue. Users unable to update should disable redirects for services that aren't expecting to respond with redirects with `redirects=False` and disable automatic redirects with `redirects=False` and handle 301, 302, and 303 redirects manually by stripping the HTTP request body.

Publish Date: 2023-10-17

URL: CVE-2023-45803

### CVSS 3 Score Details (4.2)

Base Score Metrics: - Exploitability Metrics: - Attack Vector: Adjacent - Attack Complexity: High - Privileges Required: High - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: None - Availability Impact: None

For more information on CVSS3 Scores, click here.

### Suggested Fix

Type: Upgrade version

Origin: https://github.com/urllib3/urllib3/security/advisories/GHSA-g4mx-q9vg-27p4

Release Date: 2023-10-17

Fix Resolution (urllib3): 1.26.18

Direct dependency fix Resolution (transformers): 4.19.3

Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2024-3568 ### Vulnerable Library - transformers-4.19.2-py3-none-any.whl

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Library home page: https://files.pythonhosted.org/packages/52/82/b62f139e77c70fab2763d99d83a77a27a179502430851144a1765e37f5ad/transformers-4.19.2-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - :x: **transformers-4.19.2-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

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

For more information on CVSS3 Scores, click here.

### 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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github-actions[bot] commented 1 year ago

Stale issue message