CVE-2020-15210

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Summary

CVECVE-2020-15210
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2020-09-25 19:15:00 UTC
Updated2021-11-18 17:27:00 UTC
DescriptionIn 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.

Risk And Classification

Problem Types: CWE-787

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow All All All All
Operating System Opensuse Leap 15.2 All All All
Application Tensorflow Tensorflow All All All All
Application Tensorflow Tensorflow All All All All

References

ReferenceSourceLinkTags
Segmentation fault and/or data corruption due to invalid TFLite model · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com Exploit, Third Party Advisory
Release TensorFlow 2.3.1 · tensorflow/tensorflow · GitHub MISC github.com Third Party Advisory
[security-announce] openSUSE-SU-2020:1766-1: moderate: Security update f SUSE lists.opensuse.org
[tflite] Ensure inputs and outputs don't overlap. · tensorflow/tensorflow@d58c969 · GitHub MISC github.com Patch, Third Party Advisory
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

Legacy QID Mappings

  • 980058 Python (pip) Security Update for tensorflow (GHSA-x9j7-x98r-r4w2)
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