Vulnerability · Published Sep 25, 2020 · Assigned by GitHub_M
CVE-2020-15193Memory corruption in Tensorflow
High 7.1
In plain English
A high-severity security flaw 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 0.8% (higher than 58% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.2.1, 2.3.1 | PYSEC-2020-116 |
| PyPI | tensorflow | 2.2.1 | GHSA-rjjg-hgv6-h69v |
| PyPI | tensorflow | 2.3.1 | GHSA-rjjg-hgv6-h69v |
| PyPI | tensorflow-cpu | 2.2.1, 2.3.1 | PYSEC-2020-273 |
| PyPI | tensorflow-cpu | 2.3.1 | GHSA-rjjg-hgv6-h69v |
| PyPI | tensorflow-cpu | 2.2.1 | GHSA-rjjg-hgv6-h69v |
| PyPI | tensorflow-gpu | 2.2.1, 2.3.1 | PYSEC-2020-308 |
| PyPI | tensorflow-gpu | 2.2.1 | GHSA-rjjg-hgv6-h69v |
| PyPI | tensorflow-gpu | 2.3.1 | GHSA-rjjg-hgv6-h69v |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | = 2.2.0= 2.3.0 |
Weakness: CWE-908 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
References
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8 x_refsource_MISC
- openSUSE-SU-2020:1766 vendor-advisory, x_refsource_SUSE