Vulnerability · Published Sep 25, 2020 · Assigned by GitHub_M
CVE-2020-15190Segfault in Tensorflow
Medium 5.3
In plain English
A medium-severity improper input validation 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 0.9% (higher than 61% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `tf.raw_ops.Switch` operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. However, the eager runtime traverses all tensors in the output. Since only one of the tensors is defined, the other one is `nullptr`, hence we are binding a reference to `nullptr`. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. In this case, this results in a segmentation fault The issue is patched in commit da8558533d925694483d2c136a9220d6d49d843c, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.1.2 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow | 2.2.1 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow | 2.3.1 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow | 1.15.4 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 | PYSEC-2020-113 |
| PyPI | tensorflow | 2.0.3 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow-cpu | 2.3.1 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow-cpu | 1.15.4 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow-cpu | 2.0.3 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow-cpu | 2.1.2 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow-cpu | 2.2.1 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow-cpu | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 | PYSEC-2020-270 |
| PyPI | tensorflow-gpu | 2.1.2 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow-gpu | 2.2.1 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow-gpu | 2.3.1 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow-gpu | 1.15.4 | GHSA-4g9f-63rx-5cw4 |
| PyPI | tensorflow-gpu | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 | PYSEC-2020-305 |
| PyPI | tensorflow-gpu | 2.0.3 | GHSA-4g9f-63rx-5cw4 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 1.15.4>= 2.0.0, < 2.0.3>= 2.1.0, < 2.1.2>= 2.2.0, < 2.2.1>= 2.3.0, < 2.3.1 |
Weakness: CWE-20, CWE-476 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4g9f-63rx-5cw4 x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/commit/da8558533d925694483d2c136a9220d6d49d843c x_refsource_MISC
- openSUSE-SU-2020:1766 vendor-advisory, x_refsource_SUSE