Vulnerability · Published Dec 6, 2022 · Assigned by GitHub_M
CVE-2022-41910Heap out of bounds read in `QuantizeAndDequantizeV2` in Tensorflow
Medium 4.8
In plain English
A medium-severity out-of-bounds read 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 38% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.9.3 | GHSA-frqp-wp83-qggv |
| PyPI | tensorflow | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-3178 |
| PyPI | tensorflow | 2.10.1 | GHSA-frqp-wp83-qggv |
| PyPI | tensorflow | 2.8.4 | GHSA-frqp-wp83-qggv |
| PyPI | tensorflow-cpu | 2.10.1 | GHSA-frqp-wp83-qggv |
| PyPI | tensorflow-cpu | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-3323 |
| PyPI | tensorflow-cpu | 2.9.3 | GHSA-frqp-wp83-qggv |
| PyPI | tensorflow-cpu | 2.8.4 | GHSA-frqp-wp83-qggv |
| PyPI | tensorflow-gpu | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-992 |
| PyPI | tensorflow-gpu | 2.8.4 | GHSA-frqp-wp83-qggv |
| PyPI | tensorflow-gpu | 2.9.3 | GHSA-frqp-wp83-qggv |
| PyPI | tensorflow-gpu | 2.10.1 | GHSA-frqp-wp83-qggv |
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-125 · Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H