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CVE

CVE-2022-29204

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implem

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.raw_ops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack.

The code assumes num_segments is a positive scalar but there is no validation. Since this value is used to allocate the output tensor, a negative value would result in a CHECK-failure (assertion failure), as per TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

MEDIUM · CVSS 5.5 EPSS 0.00062
Schedule remediation
  • Public exploit or PoC is available
Sigma rules0 YARA rules0

Affected Products & Versions

3
google tensorflow>= 1.15.0 and < 2.6.4
google tensorflow>= 2.7.0 and < 2.7.2
google tensorflowall versions

Affected Packages

3
Language-ecosystem packages (from OSV) tied to this CVE, with the version that fixes it - the dependency-level detail NVD doesn’t carry.
PyPI tensorflow MODERATE fixed in 2.6.4
PyPI tensorflow-cpu MODERATE fixed in 2.6.4
PyPI tensorflow-gpu MODERATE fixed in 2.6.4

Public Exploits & PoCs

1

Scoring & Timeline

5.5
MEDIUM · CVSS v3.1 · security-advisories@github.com
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Attack Vector
Network Adjacent Local Physical
Attack Complexity
Low High
Privileges Required
None Low High
User Interaction
None Required
Scope
Unchanged Changed
Confidentiality
None Low High
Integrity
None Low High
Availability
None Low High
Published to NVD20 May 2022 · 11:15 PM
CVSS VectorCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
SSVC triage · cisa-vulnrichment
Exploitation
poc
Automatable
no
Technical impact
partial
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