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bert_score-0.3.13-py3-none-any.whl: 12 vulnerabilities (highest severity is: 8.8) #7

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mend-for-github-com bot opened this issue Jan 31, 2024 · 1 comment
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Vulnerable Library - bert_score-0.3.13-py3-none-any.whl

Path to dependency file: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

Vulnerabilities

CVE Severity CVSS Dependency Type Fixed in (bert_score version) Remediation Possible**
CVE-2023-6730 High 8.8 transformers-4.30.2-py3-none-any.whl Transitive N/A*
CVE-2023-50447 High 8.1 Pillow-9.5.0-cp37-cp37m-manylinux_2_28_x86_64.whl Transitive N/A*
CVE-2023-7018 High 7.8 transformers-4.30.2-py3-none-any.whl Transitive N/A*
CVE-2024-31584 High 7.5 torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl Transitive N/A*
CVE-2024-31583 High 7.5 torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl Transitive N/A*
CVE-2024-31580 High 7.5 torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl Transitive N/A*
CVE-2023-45139 High 7.5 fonttools-4.38.0-py3-none-any.whl Transitive N/A*
CVE-2023-44271 High 7.5 Pillow-9.5.0-cp37-cp37m-manylinux_2_28_x86_64.whl Transitive N/A*
CVE-2024-6345 High 7.0 setuptools-68.0.0-py3-none-any.whl Transitive N/A*
CVE-2024-5480 Medium 6.4 torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl Transitive N/A*
CVE-2024-37891 Medium 4.4 urllib3-2.0.7-py3-none-any.whl Transitive N/A*
CVE-2024-3568 Low 3.4 transformers-4.30.2-py3-none-any.whl Transitive N/A*

*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-2023-6730

Vulnerable Library - transformers-4.30.2-py3-none-any.whl

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: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Dependency Hierarchy:

  • bert_score-0.3.13-py3-none-any.whl (Root Library)
    • transformers-4.30.2-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

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: transformers - 4.36.0

CVE-2023-50447

Vulnerable Library - Pillow-9.5.0-cp37-cp37m-manylinux_2_28_x86_64.whl

Python Imaging Library (Fork)

Library home page: https://files.pythonhosted.org/packages/2c/a2/2d565cb1d754384a88998b9c86daf803a3a7908577875231eb99b8c7973d/Pillow-9.5.0-cp37-cp37m-manylinux_2_28_x86_64.whl

Path to dependency file: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Dependency Hierarchy:

  • bert_score-0.3.13-py3-none-any.whl (Root Library)
    • matplotlib-3.5.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
      • Pillow-9.5.0-cp37-cp37m-manylinux_2_28_x86_64.whl (Vulnerable Library)

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

Found in base branch: main

Vulnerability Details

Pillow through 10.1.0 allows PIL.ImageMath.eval Arbitrary Code Execution via the environment parameter, a different vulnerability than CVE-2022-22817 (which was about the expression parameter).

Publish Date: 2024-01-19

URL: CVE-2023-50447

CVSS 3 Score Details (8.1)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Network
    • Attack Complexity: High
    • Privileges Required: None
    • 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://www.openwall.com/lists/oss-security/2024/01/20/1

Release Date: 2024-01-19

Fix Resolution: pillow - 10.2.0

CVE-2023-7018

Vulnerable Library - transformers-4.30.2-py3-none-any.whl

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: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Dependency Hierarchy:

  • bert_score-0.3.13-py3-none-any.whl (Root Library)
    • transformers-4.30.2-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

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: transformers - 4.36.0

CVE-2024-31584

Vulnerable Library - torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Library home page: https://files.pythonhosted.org/packages/00/86/77a9eddbf46f1bca2468d16a401911f58917f95b63402d6a7a4522521e5d/torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl

Path to dependency file: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Dependency Hierarchy:

  • bert_score-0.3.13-py3-none-any.whl (Root Library)
    • torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl (Vulnerable Library)

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

Found in base branch: main

Vulnerability Details

Pytorch before v2.2.0 has an Out-of-bounds Read vulnerability via the component torch/csrc/jit/mobile/flatbuffer_loader.cpp.

Publish Date: 2024-04-19

URL: CVE-2024-31584

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-2024-31584

Release Date: 2024-04-19

Fix Resolution: torch - 2.2.0

CVE-2024-31583

Vulnerable Library - torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Library home page: https://files.pythonhosted.org/packages/00/86/77a9eddbf46f1bca2468d16a401911f58917f95b63402d6a7a4522521e5d/torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl

Path to dependency file: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Dependency Hierarchy:

  • bert_score-0.3.13-py3-none-any.whl (Root Library)
    • torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl (Vulnerable Library)

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

Found in base branch: main

Vulnerability Details

Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp.

Publish Date: 2024-04-17

URL: CVE-2024-31583

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-2024-31583

Release Date: 2024-04-17

Fix Resolution: torch - 2.2.0

CVE-2024-31580

Vulnerable Library - torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Library home page: https://files.pythonhosted.org/packages/00/86/77a9eddbf46f1bca2468d16a401911f58917f95b63402d6a7a4522521e5d/torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl

Path to dependency file: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Dependency Hierarchy:

  • bert_score-0.3.13-py3-none-any.whl (Root Library)
    • torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl (Vulnerable Library)

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

Found in base branch: main

Vulnerability Details

PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted input.

Publish Date: 2024-04-17

URL: CVE-2024-31580

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-2024-31580

Release Date: 2024-04-17

Fix Resolution: torch - 2.2.0

CVE-2023-45139

Vulnerable Library - fonttools-4.38.0-py3-none-any.whl

Tools to manipulate font files

Library home page: https://files.pythonhosted.org/packages/e3/d9/e9bae85e84737e76ebbcbea13607236da0c0699baed0ae4f1151b728a608/fonttools-4.38.0-py3-none-any.whl

Path to dependency file: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Dependency Hierarchy:

  • bert_score-0.3.13-py3-none-any.whl (Root Library)
    • matplotlib-3.5.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
      • fonttools-4.38.0-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

Found in base branch: main

Vulnerability Details

fontTools is a library for manipulating fonts, written in Python. The subsetting module has a XML External Entity Injection (XXE) vulnerability which allows an attacker to resolve arbitrary entities when a candidate font (OT-SVG fonts), which contains a SVG table, is parsed. This allows attackers to include arbitrary files from the filesystem fontTools is running on or make web requests from the host system. This vulnerability has been patched in version 4.43.0.

Publish Date: 2024-01-10

URL: CVE-2023-45139

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: High
    • Integrity Impact: None
    • Availability Impact: None

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: GHSA-6673-4983-2vx5

Release Date: 2024-01-10

Fix Resolution: fonttools - 4.43.0

CVE-2023-44271

Vulnerable Library - Pillow-9.5.0-cp37-cp37m-manylinux_2_28_x86_64.whl

Python Imaging Library (Fork)

Library home page: https://files.pythonhosted.org/packages/2c/a2/2d565cb1d754384a88998b9c86daf803a3a7908577875231eb99b8c7973d/Pillow-9.5.0-cp37-cp37m-manylinux_2_28_x86_64.whl

Path to dependency file: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Dependency Hierarchy:

  • bert_score-0.3.13-py3-none-any.whl (Root Library)
    • matplotlib-3.5.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
      • Pillow-9.5.0-cp37-cp37m-manylinux_2_28_x86_64.whl (Vulnerable Library)

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

Found in base branch: main

Vulnerability Details

An issue was discovered in Pillow before 10.0.0. It is a Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.

Publish Date: 2023-11-03

URL: CVE-2023-44271

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

Release Date: 2023-11-03

Fix Resolution: Pillow - 10.0.0

CVE-2024-6345

Vulnerable Library - setuptools-68.0.0-py3-none-any.whl

Easily download, build, install, upgrade, and uninstall Python packages

Library home page: https://files.pythonhosted.org/packages/c7/42/be1c7bbdd83e1bfb160c94b9cafd8e25efc7400346cf7ccdbdb452c467fa/setuptools-68.0.0-py3-none-any.whl

Path to dependency file: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Dependency Hierarchy:

  • bert_score-0.3.13-py3-none-any.whl (Root Library)
    • torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl
      • nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl
        • setuptools-68.0.0-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

Found in base branch: main

Vulnerability Details

A vulnerability in the package_index module of pypa/setuptools versions up to 69.1.1 allows for remote code execution via its download functions. These functions, which are used to download packages from URLs provided by users or retrieved from package index servers, are susceptible to code injection. If these functions are exposed to user-controlled inputs, such as package URLs, they can execute arbitrary commands on the system. The issue is fixed in version 70.0.

Publish Date: 2024-07-15

URL: CVE-2024-6345

CVSS 3 Score Details (7.0)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Local
    • 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://www.cve.org/CVERecord?id=CVE-2024-6345

Release Date: 2024-07-15

Fix Resolution: setuptools - 70.0.0

CVE-2024-5480

Vulnerable Library - torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Library home page: https://files.pythonhosted.org/packages/00/86/77a9eddbf46f1bca2468d16a401911f58917f95b63402d6a7a4522521e5d/torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl

Path to dependency file: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Dependency Hierarchy:

  • bert_score-0.3.13-py3-none-any.whl (Root Library)
    • torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl (Vulnerable Library)

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

Found in base branch: main

Vulnerability Details

A vulnerability in the PyTorch's torch.distributed.rpc framework, specifically in versions prior to 2.2.2, allows for remote code execution (RCE). The framework, which is used in distributed training scenarios, does not properly verify the functions being called during RPC (Remote Procedure Call) operations. This oversight permits attackers to execute arbitrary commands by leveraging built-in Python functions such as eval during multi-cpu RPC communication. The vulnerability arises from the lack of restriction on function calls when a worker node serializes and sends a PythonUDF (User Defined Function) to the master node, which then deserializes and executes the function without validation. This flaw can be exploited to compromise master nodes initiating distributed training, potentially leading to the theft of sensitive AI-related data.

Publish Date: 2024-06-06

URL: CVE-2024-5480

CVSS 3 Score Details (6.4)

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: Low
    • Availability Impact: Low

For more information on CVSS3 Scores, click here.

CVE-2024-37891

Vulnerable Library - urllib3-2.0.7-py3-none-any.whl

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

Library home page: https://files.pythonhosted.org/packages/d2/b2/b157855192a68541a91ba7b2bbcb91f1b4faa51f8bae38d8005c034be524/urllib3-2.0.7-py3-none-any.whl

Path to dependency file: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Dependency Hierarchy:

  • bert_score-0.3.13-py3-none-any.whl (Root Library)
    • requests-2.31.0-py3-none-any.whl
      • urllib3-2.0.7-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

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: GHSA-34jh-p97f-mpxf

Release Date: 2024-06-17

Fix Resolution: urllib3 - 1.26.19,2.2.2

CVE-2024-3568

Vulnerable Library - transformers-4.30.2-py3-none-any.whl

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: /packages/bert/requirements.txt

Path to vulnerable library: /packages/bert/requirements.txt

Dependency Hierarchy:

  • bert_score-0.3.13-py3-none-any.whl (Root Library)
    • transformers-4.30.2-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 3451649bf624f0b8b92a9b75009c77beb787a890

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: transformers - 4.38

@mend-for-github-com mend-for-github-com bot added the Mend: dependency security vulnerability Security vulnerability detected by Mend label Jan 31, 2024
@mend-for-github-com mend-for-github-com bot changed the title bert_score-0.3.13-py3-none-any.whl: 5 vulnerabilities (highest severity is: 8.8) bert_score-0.3.13-py3-none-any.whl: 7 vulnerabilities (highest severity is: 8.8) Apr 19, 2024
@mend-for-github-com mend-for-github-com bot changed the title bert_score-0.3.13-py3-none-any.whl: 7 vulnerabilities (highest severity is: 8.8) bert_score-0.3.13-py3-none-any.whl: 9 vulnerabilities (highest severity is: 8.8) May 28, 2024
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dblock commented Jun 17, 2024

Catch All Triage - 1 2 3 4 5

@dblock dblock removed the untriaged label Jun 17, 2024
@mend-for-github-com mend-for-github-com bot changed the title bert_score-0.3.13-py3-none-any.whl: 9 vulnerabilities (highest severity is: 8.8) bert_score-0.3.13-py3-none-any.whl: 11 vulnerabilities (highest severity is: 8.8) Jul 8, 2024
@mend-for-github-com mend-for-github-com bot changed the title bert_score-0.3.13-py3-none-any.whl: 11 vulnerabilities (highest severity is: 8.8) bert_score-0.3.13-py3-none-any.whl: 12 vulnerabilities (highest severity is: 8.8) Aug 21, 2024
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