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THREATINT
PUBLISHED

CVE-2021-37668

Division by zero in TensorFlow Lite `tf.raw_ops.UnravelIndex`



AssignerGitHub_M
Reserved2021-07-29
Published2021-08-12
Updated2024-08-04

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.UnravelIndex` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unravel_index_op.cc#L36) does not check that the tensor subsumed by `dims` is not empty. Hence, if one element of `dims` is 0, the implementation does a division by 0. We have patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.



MEDIUM: 5.5CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Product status

>= 2.5.0, < 2.5.1
affected

>= 2.4.0, < 2.4.3
affected

< 2.3.4
affected

References

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2wmv-37vq-52g5

https://github.com/tensorflow/tensorflow/commit/a776040a5e7ebf76eeb7eb923bf1ae417dd4d233

cve.org CVE-2021-37668

nvd.nist.gov CVE-2021-37668

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