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AVID-2026-R1213

Description

TensorFlow has double free in Fractional(Max/Avg)Pool (CVE-2023-25801)

Details

TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, nn_ops.fractional_avg_pool_v2 and nn_ops.fractional_max_pool_v2 require the first and fourth elements of their parameter pooling_ratio to be equal to 1.0, as pooling on batch and channel dimensions is not supported. A fix is included in TensorFlow 2.12.0 and 2.11.1.

Reason for inclusion in AVID: Vulnerability in TensorFlow (an AI framework) with CVE-2023-25801; a software issue in a core component used to build/train/deploy AI systems. It is a software supply-chain relevant vulnerability (not hardware/firmware-only) with explicit affected versions and references, and is security/safety-related (double free). Sufficient evidence is provided in the CVE entry and references.

References

Affected or Relevant Artifacts

  • Developer: tensorflow
  • Deployer: tensorflow
  • Artifact Details:
TypeName
Systemtensorflow

Impact

AVID Taxonomy Categorization

  • Risk domains: Security
  • SEP subcategories: S0100: Software Vulnerability
  • Lifecycle stages: L06: Deployment

CVSS

Version3.1
Vector StringCVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H
Base Score8.0
Base Severity🔴 High
Attack VectorLOCAL
Attack Complexity🟢 Low
Privileges RequiredNONE
User InteractionNONE
ScopeUNCHANGED
Confidentiality Impact🟢 Low
Integrity Impact🔴 High
Availability Impact🔴 High

CWE

IDDescription
CWE-415CWE-415: Double Free

Other information

  • Report Type: Advisory
  • Credits:
  • Date Reported: 2023-03-24
  • Version: 0.3.3
  • AVID Entry