CVE-2022-23572
CVE-2022-23572 · Crash when type cannot be specialized in Tensorflow
This page contains facts from public vulnerability sources. Check the original advisory before updating.
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function 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. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.
CVSS 6.5 · Medium · EPSS 1.0% · Fix available
- Published
- Updated
Stack: python
Affected products and versions
tensorflow
- Versions
- >= 2.7.0, < 2.7.1: Affected
- >= 2.6.0, < 2.6.3: Affected
- < 2.5.3: Affected
No fix published
tensorflow PyPI
- Versions
- 0.12.0
- 0.12.1
- 1.0.0
- 1.0.1
- 1.1.0
- 1.10.0
- 1.10.1
- 1.11.0
- 1.12.0
- 1.12.2
- 1.12.3
- 1.13.1
- 1.13.2
- 1.14.0
- 1.15.0
- 1.15.2
- 1.15.3
- 1.15.4
- 1.15.5
- 1.2.0
- 1.2.1
- 1.3.0
- 1.4.0
- 1.4.1
- 1.5.0
- 1.5.1
- 1.6.0
- 1.7.0
- 1.7.1
- 1.8.0
- 1.9.0
- 2.0.0
- 2.0.1
- 2.0.2
- 2.0.3
- 2.0.4
- 2.1.0
- 2.1.1
- 2.1.2
- 2.1.3
- 2.1.4
- 2.2.0
- 2.2.1
- 2.2.2
- 2.2.3
- 2.3.0
- 2.3.1
- 2.3.2
- 2.3.3
- 2.3.4
- 2.4.0
- 2.4.1
- 2.4.2
- 2.4.3
- 2.4.4
- 2.5.0
- 2.5.1
- 2.5.2
- Affected ranges
- ECOSYSTEM: < 2.5.3
Update to 2.5.3
tensorflow PyPI
- Versions
- 2.6.0
- 2.6.1
- 2.6.2
- Affected ranges
- ECOSYSTEM: ≥ 2.6.0, < 2.6.3
Update to 2.6.3
tensorflow PyPI
- Versions
- 2.7.0
- Affected ranges
- ECOSYSTEM: ≥ 2.7.0, < 2.7.1
Update to 2.7.1
tensorflow-cpu PyPI
- Versions
- 1.15.0
- 2.1.0
- 2.1.1
- 2.1.2
- 2.1.3
- 2.1.4
- 2.2.0
- 2.2.1
- 2.2.2
- 2.2.3
- 2.3.0
- 2.3.1
- 2.3.2
- 2.3.3
- 2.3.4
- 2.4.0
- 2.4.1
- 2.4.2
- 2.4.3
- 2.4.4
- 2.5.0
- 2.5.1
- 2.5.2
- Affected ranges
- ECOSYSTEM: < 2.5.3
Update to 2.5.3
tensorflow-cpu PyPI
- Versions
- 2.6.0
- 2.6.1
- 2.6.2
- Affected ranges
- ECOSYSTEM: ≥ 2.6.0, < 2.6.3
Update to 2.6.3
tensorflow-cpu PyPI
- Versions
- 2.7.0
- Affected ranges
- ECOSYSTEM: ≥ 2.7.0, < 2.7.1
Update to 2.7.1
tensorflow-gpu PyPI
- Versions
- 0.12.0
- 0.12.1
- 1.0.0
- 1.0.1
- 1.1.0
- 1.10.0
- 1.10.1
- 1.11.0
- 1.12.0
- 1.12.2
- 1.12.3
- 1.13.1
- 1.13.2
- 1.14.0
- 1.15.0
- 1.15.2
- 1.15.3
- 1.15.4
- 1.15.5
- 1.2.0
- 1.2.1
- 1.3.0
- 1.4.0
- 1.4.1
- 1.5.0
- 1.5.1
- 1.6.0
- 1.7.0
- 1.7.1
- 1.8.0
- 1.9.0
- 2.0.0
- 2.0.1
- 2.0.2
- 2.0.3
- 2.0.4
- 2.1.0
- 2.1.1
- 2.1.2
- 2.1.3
- 2.1.4
- 2.2.0
- 2.2.1
- 2.2.2
- 2.2.3
- 2.3.0
- 2.3.1
- 2.3.2
- 2.3.3
- 2.3.4
- 2.4.0
- 2.4.1
- 2.4.2
- 2.4.3
- 2.4.4
- 2.5.0
- 2.5.1
- 2.5.2
- Affected ranges
- ECOSYSTEM: < 2.5.3
Update to 2.5.3
tensorflow-gpu PyPI
- Versions
- 2.6.0
- 2.6.1
- 2.6.2
- Affected ranges
- ECOSYSTEM: ≥ 2.6.0, < 2.6.3
Update to 2.6.3
tensorflow-gpu PyPI
- Versions
- 2.7.0
- Affected ranges
- ECOSYSTEM: ≥ 2.7.0, < 2.7.1
Update to 2.7.1
tensorflow-gpu PyPI
- Versions
- 0.12.0
- 0.12.1
- 1.0.0
- 1.0.1
- 1.1.0
- 1.10.0
- 1.10.1
- 1.11.0
- 1.12.0
- 1.12.2
- 1.12.3
- 1.13.1
- 1.13.2
- 1.14.0
- 1.15.0
- 1.15.2
- 1.15.3
- 1.15.4
- 1.15.5
- 1.2.0
- 1.2.1
- 1.3.0
- 1.4.0
- 1.4.1
- 1.5.0
- 1.5.1
- 1.6.0
- 1.7.0
- 1.7.1
- 1.8.0
- 1.9.0
- 2.0.0
- 2.0.1
- 2.0.2
- 2.0.3
- 2.0.4
- 2.1.0
- 2.1.1
- 2.1.2
- 2.1.3
- 2.1.4
- 2.2.0
- 2.2.1
- 2.2.2
- 2.2.3
- 2.3.0
- 2.3.1
- 2.3.2
- 2.3.3
- 2.3.4
- 2.4.0
- 2.4.1
- 2.4.2
- 2.4.3
- 2.4.4
- 2.5.0
- 2.5.1
- 2.5.2
- 2.6.0
- 2.6.1
- 2.6.2
- Affected ranges
- GIT: < cb164786dc891ea11d3a900e90367c339305dc7b
- ECOSYSTEM: < 2.5.3 ∪ ≥ 2.6.0, < 2.6.3
Update to 2.5.3; Update to 2.6.3
tensorflow-cpu PyPI
- Versions
- 1.15.0
- 2.1.0
- 2.1.1
- 2.1.2
- 2.1.3
- 2.1.4
- 2.2.0
- 2.2.1
- 2.2.2
- 2.2.3
- 2.3.0
- 2.3.1
- 2.3.2
- 2.3.3
- 2.3.4
- 2.4.0
- 2.4.1
- 2.4.2
- 2.4.3
- 2.4.4
- 2.5.0
- 2.5.1
- 2.5.2
- 2.6.0
- 2.6.1
- 2.6.2
- Affected ranges
- GIT: < cb164786dc891ea11d3a900e90367c339305dc7b
- ECOSYSTEM: < 2.5.3 ∪ ≥ 2.6.0, < 2.6.3
Update to 2.5.3; Update to 2.6.3
tensorflow PyPI
- Versions
- 0.12.0
- 0.12.1
- 1.0.0
- 1.0.1
- 1.1.0
- 1.10.0
- 1.10.1
- 1.11.0
- 1.12.0
- 1.12.2
- 1.12.3
- 1.13.1
- 1.13.2
- 1.14.0
- 1.15.0
- 1.15.2
- 1.15.3
- 1.15.4
- 1.15.5
- 1.2.0
- 1.2.1
- 1.3.0
- 1.4.0
- 1.4.1
- 1.5.0
- 1.5.1
- 1.6.0
- 1.7.0
- 1.7.1
- 1.8.0
- 1.9.0
- 2.0.0
- 2.0.1
- 2.0.2
- 2.0.3
- 2.0.4
- 2.1.0
- 2.1.1
- 2.1.2
- 2.1.3
- 2.1.4
- 2.2.0
- 2.2.1
- 2.2.2
- 2.2.3
- 2.3.0
- 2.3.1
- 2.3.2
- 2.3.3
- 2.3.4
- 2.4.0
- 2.4.1
- 2.4.2
- 2.4.3
- 2.4.4
- 2.5.0
- 2.5.1
- 2.5.2
- 2.6.0
- 2.6.1
- 2.6.2
- 2.7.0
- Affected ranges
- ECOSYSTEM: < 2.5.3 ∪ ≥ 2.6.0, < 2.6.3 ∪ ≥ 2.7.0, < 2.7.1
Update to 2.5.3; Update to 2.6.3; Update to 2.7.1
Original sources
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rww7-2gpw-fv6j
- https://github.com/tensorflow/tensorflow/commit/cb164786dc891ea11d3a900e90367c339305dc7b
- https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L168-L174
- https://nvd.nist.gov/vuln/detail/CVE-2022-23572