CVE-2021-29601

Summary

CVECVE-2021-29601
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2021-05-14 20:15:00 UTC
Updated2021-05-20 16:01:00 UTC
DescriptionTensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of concatenation is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.cc#L70-L76). An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of `int`. TFLite uses `int` to represent tensor dimensions, whereas TF uses `int64`. Hence, valid TF models can trigger an integer overflow when converted to TFLite format. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Risk And Classification

Problem Types: CWE-190

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow All All All All

References

ReferenceSourceLinkTags
Fix integer overflow in TFLite concat · tensorflow/tensorflow@4253f96 · GitHub MISC github.com
Integer overflow in TFLite concatentation · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

Legacy QID Mappings

  • 982452 Python (pip) Security Update for tensorflow (GHSA-9c84-4hx6-xmm4)

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