Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M
CVE-2022-23561Out of bounds write in TFLite
High 8.8
In plain English
A high-severity out-of-bounds write 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 46% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. 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-9c78-vcq7-7vxq |
| PyPI | tensorflow | 2.6.3 | GHSA-9c78-vcq7-7vxq |
| PyPI | tensorflow | 2.7.1 | GHSA-9c78-vcq7-7vxq |
| PyPI | tensorflow | 2.5.3, 2.6.3, 2.7.1 | PYSEC-2026-3148 |
| PyPI | tensorflow-cpu | 2.6.3 | GHSA-9c78-vcq7-7vxq |
| PyPI | tensorflow-cpu | 2.7.1 | GHSA-9c78-vcq7-7vxq |
| PyPI | tensorflow-cpu | 2.5.3, 2.6.3 | PYSEC-2022-70 |
| PyPI | tensorflow-cpu | 2.5.3 | GHSA-9c78-vcq7-7vxq |
| PyPI | tensorflow-gpu | 2.7.1 | GHSA-9c78-vcq7-7vxq |
| PyPI | tensorflow-gpu | 2.5.3, 2.6.3 | PYSEC-2022-125 |
| PyPI | tensorflow-gpu | 2.5.3 | GHSA-9c78-vcq7-7vxq |
| PyPI | tensorflow-gpu | 2.6.3 | GHSA-9c78-vcq7-7vxq |
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-787 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H