Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29605Integer overflow in TFLite memory allocation
High 7.1
In plain English
A high-severity integer 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 0.2% (higher than 13% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an end-to-end open source platform for machine learning. The TFLite code for allocating `TFLiteIntArray`s is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L24-L27). An attacker can craft a model such that the `size` multiplier is so large that the return value overflows the `int` datatype and becomes negative. In turn, this results in invalid value being given to `malloc`(https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L47-L52). In this case, `ret->size` would dereference an invalid pointer. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.3 | GHSA-jf7h-7m85-w2v2 |
| PyPI | tensorflow | 2.4.2 | GHSA-jf7h-7m85-w2v2 |
| PyPI | tensorflow | 2.1.4 | GHSA-jf7h-7m85-w2v2 |
| PyPI | tensorflow | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-242 |
| PyPI | tensorflow | 2.2.3 | GHSA-jf7h-7m85-w2v2 |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-jf7h-7m85-w2v2 |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-jf7h-7m85-w2v2 |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-jf7h-7m85-w2v2 |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-jf7h-7m85-w2v2 |
| PyPI | tensorflow-cpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-533 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-jf7h-7m85-w2v2 |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-jf7h-7m85-w2v2 |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-jf7h-7m85-w2v2 |
| PyPI | tensorflow-gpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-731 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-jf7h-7m85-w2v2 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2 |
Weakness: CWE-190 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H