CVE-2020-15210 (GCVE-0-2020-15210)

Vulnerability from cvelistv5 – Published: 2020-09-25 18:45 – Updated: 2024-08-04 13:08
VLAI?
Summary
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity ?
6.5 (Medium)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
CWE
  • CWE-20 - {"CWE-20":"Improper Input Validation"}
Assigner
References
Impacted products
Vendor Product Version
tensorflow tensorflow Affected: < 1.15.4
Affected: >= 2.0.0, < 2.0.3
Affected: >= 2.1.0, < 2.1.2
Affected: >= 2.2.0, < 2.2.1
Affected: >= 2.3.0, < 2.3.1
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  }
}


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Tags
Taxonomy of the tags.




Sightings

Author Source Type Date

Nomenclature

  • 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.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



Detection rules are retrieved from Rulezet.