Vulnerability · Published Mar 24, 2023 · Assigned by GitHub_M
CVE-2023-25675TensorFlow has Segfault in Bincount with XLA
High 7.5
In plain English
A high-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 0.4% (higher than 34% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Severity (CVSS 3.1)7.5High
Exploit odds (30 days)0.4%top 66.2% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known
Official description
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.11.1 | GHSA-7x4v-9gxg-9hwj |
| PyPI | tensorflow | 2.11.1 | PYSEC-2026-3131 |
| PyPI | tensorflow-cpu | 2.11.1 | GHSA-7x4v-9gxg-9hwj |
| PyPI | tensorflow-cpu | 2.11.1 | PYSEC-2026-3294 |
| PyPI | tensorflow-gpu | 2.11.1 | GHSA-7x4v-9gxg-9hwj |
| PyPI | tensorflow-gpu | 2.11.1 | PYSEC-2026-967 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.11.1 |
Weakness: CWE-697 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H