keras-2.9.0-py2.py3-none-any.whl: 2 vulnerabilities (highest severity is: 9.8)

[mend-bolt-for-github]

Vulnerable Library - keras-2.9.0-py2.py3-none-any.whl

Multi-backend Keras.

Library home page: https://files.pythonhosted.org/packages/ff/ff/f25909606aed26981a8bd6d263f89d64a20ca5e5316e6aafb4c75d9ec8ae/keras-2.9.0-py2.py3-none-any.whl

Path to dependency file: /models/training-tuning-scripts/fraud-detection-models/requirements.txt

Path to vulnerable library: /models/training-tuning-scripts/fraud-detection-models/requirements.txt,/models/training-tuning-scripts/fraud-detection-models/requirements.txt

Found in HEAD commit: 42a2d393427e16f1b80a5df9fe14a37d045088ad

Vulnerabilities

CVE	Severity	CVSS	Dependency	Type	Fixed in (keras version)	Remediation Possible**
CVE-2024-3660	Critical	9.8	keras-2.9.0-py2.py3-none-any.whl	Direct	2.13.1	❌
CVE-2024-55459	Medium	6.5	keras-2.9.0-py2.py3-none-any.whl	Direct	N/A	❌

**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation

Details

CVE-2024-3660

Vulnerable Library - keras-2.9.0-py2.py3-none-any.whl

Multi-backend Keras.

Library home page: https://files.pythonhosted.org/packages/ff/ff/f25909606aed26981a8bd6d263f89d64a20ca5e5316e6aafb4c75d9ec8ae/keras-2.9.0-py2.py3-none-any.whl

Path to dependency file: /models/training-tuning-scripts/fraud-detection-models/requirements.txt

Path to vulnerable library: /models/training-tuning-scripts/fraud-detection-models/requirements.txt,/models/training-tuning-scripts/fraud-detection-models/requirements.txt

Dependency Hierarchy:

• ❌ keras-2.9.0-py2.py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 42a2d393427e16f1b80a5df9fe14a37d045088ad

Found in base branch: branch-23.03

Vulnerability Details

A arbitrary code injection vulnerability in TensorFlow's Keras framework (<2.13) allows attackers to execute arbitrary code with the same permissions as the application using a model that allow arbitrary code irrespective of the application.

Publish Date: 2024-04-16

URL: CVE-2024-3660

CVSS 3 Score Details (9.8)

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: High
  • Availability Impact: High

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: GHSA-x4wf-678h-2pmq

Release Date: 2024-04-16

Fix Resolution: 2.13.1

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CVE-2024-55459

Vulnerable Library - keras-2.9.0-py2.py3-none-any.whl

Multi-backend Keras.

Library home page: https://files.pythonhosted.org/packages/ff/ff/f25909606aed26981a8bd6d263f89d64a20ca5e5316e6aafb4c75d9ec8ae/keras-2.9.0-py2.py3-none-any.whl

Path to dependency file: /models/training-tuning-scripts/fraud-detection-models/requirements.txt

Path to vulnerable library: /models/training-tuning-scripts/fraud-detection-models/requirements.txt,/models/training-tuning-scripts/fraud-detection-models/requirements.txt

Dependency Hierarchy:

• ❌ keras-2.9.0-py2.py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 42a2d393427e16f1b80a5df9fe14a37d045088ad

Found in base branch: branch-23.03

Vulnerability Details

An issue in keras 3.7.0 allows attackers to write arbitrary files to the user's machine via downloading a crafted tar file through the get_file function.

Publish Date: 2025-01-08

URL: CVE-2024-55459

CVSS 3 Score Details (6.5)

Base Score Metrics:

• Exploitability Metrics:
  • Attack Vector: Network
  • Attack Complexity: Low
  • Privileges Required: None
  • User Interaction: Required
  • Scope: Unchanged
• Impact Metrics:
  • Confidentiality Impact: None
  • Integrity Impact: High
  • Availability Impact: None

For more information on CVSS3 Scores, click here.

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