CVE-2021-37678

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Summary

CVECVE-2021-37678
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2021-08-12 23:15:00 UTC
Updated2021-08-19 13:44:00 UTC
DescriptionTensorFlow is an end-to-end open source platform for machine learning. In affected versions TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/python/keras/saving/model_config.py#L66-L104) uses `yaml.unsafe_load` which can perform arbitrary code execution on the input. Given that YAML format support requires a significant amount of work, we have removed it for now. We have patched the issue in GitHub commit 23d6383eb6c14084a8fc3bdf164043b974818012. 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.

Risk And Classification

Problem Types: CWE-502

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
Use the safer `safe_load` function instead of `unsafe_load` when poss… · tensorflow/tensorflow@23d6383 · GitHub MISC github.com
Arbitrary code execution due to YAML deserialization · 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

  • 981547 Python (pip) Security Update for tensorflow-gpu (GHSA-r6jx-9g48-2r5r)

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