Vulnerability · Published Mar 24, 2023 · Assigned by GitHub_M
CVE-2023-25668TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation
Critical 9.8
In plain English
A critical-severity heap buffer overflow 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 0.8% (higher than 58% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.11.1 | GHSA-gw97-ff7c-9v96 |
| PyPI | tensorflow | 2.11.1 | PYSEC-2026-548 |
| PyPI | tensorflow-cpu | 2.11.1 | GHSA-gw97-ff7c-9v96 |
| PyPI | tensorflow-cpu | 2.11.1 | PYSEC-2026-549 |
| PyPI | tensorflow-gpu | 2.11.1 | GHSA-gw97-ff7c-9v96 |
| PyPI | tensorflow-gpu | 2.11.1 | PYSEC-2026-550 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.11.1 |
Weakness: CWE-122, CWE-125 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H