CVE-2022-29207 (GCVE-0-2022-29207)

Vulnerability from cvelistv5 – Published: 2022-05-20 22:10 – Updated: 2025-04-22 17:58
VLAI?
Title
Undefined behavior when users supply invalid resource handles in TensorFlow
Summary
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, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Severity ?
5.5 (Medium)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CWE
  • CWE-20 - Improper Input Validation
  • CWE-475 - Undefined Behavior for Input to API
Assigner
References
Impacted products
Vendor Product Version
tensorflow tensorflow Affected: < 2.6.4
Affected: >= 2.7.0rc0, < 2.7.2
Affected: >= 2.8.0rc0, < 2.8.1
Affected: >= 2.9.0rc0, < 2.9.0
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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



Detection rules are retrieved from Rulezet.