TensorFlow denial of service | CVE-2022-21730
NAME
TensorFlow denial of service
- Platforms Affected:
TensorFlow TensorFlow 1.3.0
TensorFlow TensorFlow 1.3.1
TensorFlow TensorFlow 1.4.0
TensorFlow TensorFlow 1.4.1
TensorFlow TensorFlow 1.5.0
TensorFlow TensorFlow 1.5.1
TensorFlow TensorFlow 1.6.0
TensorFlow TensorFlow 1.1.0
TensorFlow TensorFlow 1.2.0
TensorFlow TensorFlow 1.2.1
TensorFlow TensorFlow 1.0.1
TensorFlow TensorFlow 1.0.0
TensorFlow TensorFlow 1.15
TensorFlow TensorFlow 1.12.0
TensorFlow TensorFlow 2.0.0
TensorFlow TensorFlow 1.15.3
TensorFlow TensorFlow 2.0.2
TensorFlow TensorFlow 2.1.1
TensorFlow TensorFlow 2.2.0
TensorFlow TensorFlow 2.3.0
TensorFlow TensorFlow 2.1.0
TensorFlow TensorFlow 2.4.0
TensorFlow TensorFlow 2.1.4
TensorFlow TensorFlow 2.2.3
TensorFlow TensorFlow 2.3.3
TensorFlow TensorFlow 2.4.2
TensorFlow TensorFlow 2.5.0
TensorFlow TensorFlow 2.6.0
TensorFlow TensorFlow 2.5.2
TensorFlow TensorFlow 2.6.2
TensorFlow TensorFlow 2.7.0 - Risk Level:
8.1 - Exploitability:
Proof of Concept - Consequences:
Denial of Service
DESCRIPTION
TensorFlow is vulnerable to a denial of service, caused by an out-of-bounds read in FractionalAvgPoolGrad. A remote authenticated attacker could exploit this vulnerability to cause a denial of service.
CVSS 3.0 Information
- Privileges Required: Low
- User Interaction: None
- Scope: Unchanged
- Access Vector: Network
- Access Complexity: Low
- Confidentiality Impact: High
- Integrity Impact: None
- Availability Impact: High
- Remediation Level: Official Fix
MITIGATION
Upgrade to the latest version of TensorFlow (2.8.0 or later), available from the TensorFlow GIT Repository. See References.
- Reference Link:
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4 - Reference Link:
https://www.tensorflow.org/
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