Vulnerability · Published Nov 18, 2022 · Assigned by GitHub_M
CVE-2022-41891Segfault in `tf.raw_ops.TensorListConcat` in Tensorflow
Medium 4.8
In plain English
A medium-severity improper input validation in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.5% (higher than 42% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an open source platform for machine learning. If `tf.raw_ops.TensorListConcat` is given `element_shape=[]`, it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.9.3 | GHSA-66vq-54fq-6jvv |
| PyPI | tensorflow | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-3117 |
| PyPI | tensorflow | 2.10.1 | GHSA-66vq-54fq-6jvv |
| PyPI | tensorflow | 2.8.4 | GHSA-66vq-54fq-6jvv |
| PyPI | tensorflow-cpu | 2.10.1 | GHSA-66vq-54fq-6jvv |
| PyPI | tensorflow-cpu | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-3283 |
| PyPI | tensorflow-cpu | 2.9.3 | GHSA-66vq-54fq-6jvv |
| PyPI | tensorflow-cpu | 2.8.4 | GHSA-66vq-54fq-6jvv |
| PyPI | tensorflow-gpu | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-957 |
| PyPI | tensorflow-gpu | 2.8.4 | GHSA-66vq-54fq-6jvv |
| PyPI | tensorflow-gpu | 2.9.3 | GHSA-66vq-54fq-6jvv |
| PyPI | tensorflow-gpu | 2.10.1 | GHSA-66vq-54fq-6jvv |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.10.0, < 2.10.1>= 2.9.0, < 2.9.3< 2.8.4 |
Weakness: CWE-20 · Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H