CVE-2022-23580
04.02.2022, 23:15
Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. 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.Enginsight
Affected Products (NVD)
| Vendor | Product | Version |
|---|---|---|
| tensorflow | 𝑥 ≤ 2.5.2 | |
| tensorflow | 2.6.0 ≤ 𝑥 ≤ 2.6.2 | |
| tensorflow | 2.7.0 |
𝑥
= Vulnerable software versions
Early Detection
Affected products identified ahead of NVD analysis through intelligence sources.
| Vendor | Product | Version | Source |
|---|---|---|---|
| tensorflow | tensorflow | 𝑥 < 2.5.3 | CNA |
Common Weakness Enumeration
- CWE-400 - Uncontrolled Resource ConsumptionThe software does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.
- CWE-1284 - Improper Validation of Specified Quantity in InputThe product receives input that is expected to specify a quantity (such as size or length), but it does not validate or incorrectly validates that the quantity has the required properties.
References