Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M
CVE-2022-23571Reachable Assertion in Tensorflow
Medium 6.5
In plain English
A medium-severity security flaw in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.5% (higher than 41% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.5.3 | GHSA-j3mj-fhpq-qqjj |
| PyPI | tensorflow | 2.6.3 | GHSA-j3mj-fhpq-qqjj |
| PyPI | tensorflow | 2.7.1 | GHSA-j3mj-fhpq-qqjj |
| PyPI | tensorflow | 2.5.3, 2.6.3, 2.7.1 | PYSEC-2026-3204 |
| PyPI | tensorflow-cpu | 2.6.3 | GHSA-j3mj-fhpq-qqjj |
| PyPI | tensorflow-cpu | 2.7.1 | GHSA-j3mj-fhpq-qqjj |
| PyPI | tensorflow-cpu | 2.5.3, 2.6.3 | PYSEC-2022-80 |
| PyPI | tensorflow-cpu | 2.5.3 | GHSA-j3mj-fhpq-qqjj |
| PyPI | tensorflow-gpu | 2.7.1 | GHSA-j3mj-fhpq-qqjj |
| PyPI | tensorflow-gpu | 2.5.3, 2.6.3 | PYSEC-2022-135 |
| PyPI | tensorflow-gpu | 2.5.3 | GHSA-j3mj-fhpq-qqjj |
| PyPI | tensorflow-gpu | 2.6.3 | GHSA-j3mj-fhpq-qqjj |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.7.0, < 2.7.1>= 2.6.0, < 2.6.3< 2.5.3 |
Weakness: CWE-617 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H