Vulnerability · Published Nov 5, 2021 · Assigned by GitHub_M
CVE-2021-41197Crashes due to overflow and `CHECK`-fail in ops with large tensor shapes
Medium 5.5
In plain English
A medium-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 0.3% (higher than 25% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an overflow occurs, `MultiplyWithoutOverflow` would return a negative result. In the majority of TensorFlow codebase this then results in a `CHECK`-failure. Newer constructs exist which return a `Status` instead of crashing the binary. This is similar to CVE-2021-29584. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.4.4, 2.5.2, 2.6.1, 2.7.0 | PYSEC-2021-390 |
| PyPI | tensorflow | 2.6.1 | GHSA-prcg-wp5q-rv7p |
| PyPI | tensorflow | 2.5.2 | GHSA-prcg-wp5q-rv7p |
| PyPI | tensorflow | 2.4.4 | GHSA-prcg-wp5q-rv7p |
| PyPI | tensorflow-cpu | 2.5.2 | GHSA-prcg-wp5q-rv7p |
| PyPI | tensorflow-cpu | 2.4.4, 2.5.2, 2.6.1, 2.7.0 | PYSEC-2021-607 |
| PyPI | tensorflow-cpu | 2.6.1 | GHSA-prcg-wp5q-rv7p |
| PyPI | tensorflow-cpu | 2.4.4 | GHSA-prcg-wp5q-rv7p |
| PyPI | tensorflow-gpu | 2.4.4, 2.5.2, 2.6.1, 2.7.0 | PYSEC-2021-805 |
| PyPI | tensorflow-gpu | 2.6.1 | GHSA-prcg-wp5q-rv7p |
| PyPI | tensorflow-gpu | 2.5.2 | GHSA-prcg-wp5q-rv7p |
| PyPI | tensorflow-gpu | 2.4.4 | GHSA-prcg-wp5q-rv7p |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.6.0, < 2.6.1>= 2.5.0, < 2.5.2< 2.4.4 |
Weakness: CWE-190 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-prcg-wp5q-rv7p x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/issues/46890 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/issues/51908 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/commit/7c1692bd417eb4f9b33ead749a41166d6080af85 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/commit/a871989d7b6c18cdebf2fb4f0e5c5b62fbc19edf x_refsource_MISC
- https://github.com/tensorflow/tensorflow/commit/d81b1351da3e8c884ff836b64458d94e4a157c15 x_refsource_MISC