CVE-2021-37686

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Summary

CVECVE-2021-37686
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2021-08-12 22:15:00 UTC
Updated2021-08-18 20:42:00 UTC
DescriptionTensorFlow is an end-to-end open source platform for machine learning. In affected versions the strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for [ellipsis in axis definition](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/strided_slice.cc#L103-L122). An attacker can craft a model such that `ellipsis_end_idx` is smaller than `i` (e.g., always negative). In this case, the inner loop does not increase `i` and the `continue` statement causes execution to skip over the preincrement at the end of the outer loop. We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695. TensorFlow 2.6.0 is the only affected version.

Risk And Classification

Problem Types: CWE-835

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow All All All All
Application Google Tensorflow 2.5.0 All All All
Application Google Tensorflow 2.6.0 rc0 All All
Application Google Tensorflow 2.6.0 rc1 All All
Application Google Tensorflow 2.6.0 rc2 All All

References

ReferenceSourceLinkTags
Prevent a division by 0 in average ops. · tensorflow/tensorflow@dfa22b3 · GitHub MISC github.com
Infinite loop in TFLite · 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

  • 981550 Python (pip) Security Update for tensorflow-gpu (GHSA-mhhc-q96p-mfm9)

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