CVE-2021-41197

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Summary

CVECVE-2021-41197
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2021-11-05 20:15:00 UTC
Updated2021-11-09 14:30:00 UTC
DescriptionTensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an overflow occurs, `MultiplyWithoutOverflow` would return a negative result. In the majority of TensorFlow codebase this then results in a `CHECK`-failure. Newer constructs exist which return a `Status` instead of crashing the binary. This is similar to CVE-2021-29584. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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
tf.pad crashes with large paddings · Issue #51908 · tensorflow/tensorflow · GitHub MISC github.com
Merge pull request #51717 from yongtang:46890-tf.image.pad_to_boundin… · tensorflow/tensorflow@d81b135 · GitHub MISC github.com
PR #51732: Fix crash of tf.image.crop_and_resize when input is large … · tensorflow/tensorflow@7c1692b · GitHub MISC github.com
tf.image.resize/resize_with_crop_or_pad/pad_to_bounding_box/extract_glimpse crash(abort) · Issue #46890 · tensorflow/tensorflow · GitHub MISC github.com
Merge pull request #51658 from yongtang:51618-tf.image.extract_glimpse · tensorflow/tensorflow@a871989 · GitHub MISC github.com
Crashes due to overflow and `CHECK`-fail in ops with large tensor shapes · 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

  • 980163 Python (pip) Security Update for tensorflow-gpu (GHSA-prcg-wp5q-rv7p)

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