CVE-2022-21727
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
EPSS 0.32% · 55.0th percentile
Risk Scores
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Bitnami | tensorflow | 0, 2.6.0, 2.7.0 |
| Bitnami | tensorflow | 0, 2.7.0, 2.6.0 |
Timeline
- Feb 3, 2022 CVE Published
- Feb 8, 2022 EPSS Score
- Apr 1, 2022 EPSS Score
- May 24, 2022 EPSS Score
- Jul 16, 2022 EPSS Score
- Sep 7, 2022 EPSS Score
- Oct 29, 2022 EPSS Score
- Dec 20, 2022 EPSS Score
- Feb 11, 2023 EPSS Score
- Mar 7, 2023 EPSS Score
- Apr 4, 2023 EPSS Score
- May 26, 2023 EPSS Score
References
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L3001-L3034 url
- https://github.com/tensorflow/tensorflow/commit/b64638ec5ccaa77b7c1eb90958e3d85ce381f91b url
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c6fh-56w7-fvjw url
- https://nvd.nist.gov/vuln/detail/CVE-2022-21727 url