CVE-2022-23572
04.02.2022, 23:15
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.Enginsight
| Vendor | Product | Version |
|---|---|---|
| tensorflow | 𝑥 ≤ 2.5.2 | |
| tensorflow | 2.6.0 ≤ 𝑥 ≤ 2.6.2 | |
| tensorflow | 2.7.0 |
𝑥
= Vulnerable software versions
Common Weakness Enumeration
- CWE-754 - Improper Check for Unusual or Exceptional ConditionsThe software does not check or incorrectly checks for unusual or exceptional conditions that are not expected to occur frequently during day to day operation of the software.
- CWE-617 - Reachable AssertionThe product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.
References