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MediumVulnerability

CVE-2021-37645: TensorFlow integer overflow in tf.raw_ops.QuantizeAndDequantizeV4Grad

Identifier
CVE-2021-37645
Published
Record updated
View JSON
Affected
  • tensorflow < 2.4.3, fixed in 2.4.3, released August 10, 2021, 3 days before disclosure
  • tensorflow = 2.5.0, fixed in 2.5.1, released August 10, 2021, 3 days before disclosure
  • tensorflow-cpu < 2.4.3, fixed in 2.4.3, released August 10, 2021, 3 days before disclosure
  • and 3 more
Known exploitation
Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS
0.2%

Summary

CVE-2021-37645 affects TensorFlow's `tf.raw_ops.QuantizeAndDequantizeV4Grad` in affected versions. A negative `axis` value is implicitly converted to an unsigned integer when passed as the size argument to the `absl::InlinedVector` constructor, causing an integer overflow and memory allocation based on the resulting large value.

Mitigation

Patched in GitHub commit 96f364a1ca3009f98980021c4b32be5fdcca33a1. The fix will be included in TensorFlow 2.6.0, and the commit will also be cherry-picked to TensorFlow 2.5.1 and TensorFlow 2.4.3.