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CVE-2022-23575: Integer overflow in Tensorflow

February 10, 2022 (updated November 13, 2024)

The implementation of OpLevelCostEstimator::CalculateTensorSize is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements:

int64_t OpLevelCostEstimator::CalculateTensorSize(
const OpInfo::TensorProperties& tensor, bool* found_unknown_shapes) {
int64_t count = CalculateTensorElementCount(tensor, found_unknown_shapes);
int size = DataTypeSize(BaseType(tensor.dtype()));
VLOG(2) << "Count: " << count << " DataTypeSize: " << size;
return count * size;
}

Here, count and size can be large enough to cause count * size to overflow.

References

  • github.com/advisories/GHSA-c94w-c95p-phf8
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-84.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-139.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc
  • github.com/tensorflow/tensorflow/commit/fcd18ce3101f245b083b30655c27b239dc72221e
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-c94w-c95p-phf8
  • nvd.nist.gov/vuln/detail/CVE-2022-23575

Code Behaviors & Features

Detect and mitigate CVE-2022-23575 with GitLab Dependency Scanning

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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-190: Integer Overflow or Wraparound

Source file

pypi/tensorflow-cpu/CVE-2022-23575.yml

Spotted a mistake? Edit the file on GitLab.

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