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  5. CVE-2022-23572

CVE-2022-23572: Crash when type cannot be specialized in Tensorflow

February 9, 2022 (updated November 13, 2024)

Under certain scenarios, TensorFlow can fail to specialize a type during shape inference:

void InferenceContext::PreInputInit(
const OpDef& op_def, const std::vector<const Tensor*>& input_tensors,
const std::vector<ShapeHandle>& input_tensors_as_shapes) {
const auto ret = full_type::SpecializeType(attrs_, op_def);
DCHECK(ret.status().ok()) << "while instantiating types: " << ret.status();
ret_types_ = ret.ValueOrDie();
// ...
}

However, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the ValueOrDie line. This results in an assertion failure as ret contains an error Status, not a value. In the second case we also get a crash due to the assertion failure.

References

  • github.com/advisories/GHSA-rww7-2gpw-fv6j
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-81.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-136.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc
  • github.com/tensorflow/tensorflow/commit/cb164786dc891ea11d3a900e90367c339305dc7b
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-rww7-2gpw-fv6j
  • nvd.nist.gov/vuln/detail/CVE-2022-23572

Code Behaviors & Features

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Affected versions

All versions before 2.5.3, all versions starting from 2.6.0 before 2.6.3, all versions starting from 2.7.0 before 2.7.1, version 2.7.0

Fixed versions

  • 2.5.3
  • 2.6.3
  • 2.7.1

Solution

Upgrade to versions 2.5.3, 2.6.3, 2.7.1 or above.

Impact 6.5 MEDIUM

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

Learn more about CVSS

Weakness

  • CWE-617: Reachable Assertion
  • CWE-754: Improper Check for Unusual or Exceptional Conditions

Source file

pypi/tensorflow-cpu/CVE-2022-23572.yml

Spotted a mistake? Edit the file on GitLab.

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