Vulnerability · Published Sep 25, 2020 · Assigned by GitHub_M
CVE-2020-15198Heap buffer overflow in Tensorflow
Medium 5.4
In plain English
A medium-severity heap buffer 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 0.5% (higher than 46% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.1 | GHSA-jc87-6vpp-7ff3 |
| PyPI | tensorflow | 2.3.1 | PYSEC-2020-121 |
| PyPI | tensorflow-cpu | 2.3.1 | GHSA-jc87-6vpp-7ff3 |
| PyPI | tensorflow-cpu | 2.3.1 | PYSEC-2020-278 |
| PyPI | tensorflow-gpu | 2.3.1 | GHSA-jc87-6vpp-7ff3 |
| PyPI | tensorflow-gpu | 2.3.1 | PYSEC-2020-313 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.3.0, < 2.3.1 |
Weakness: CWE-122, CWE-119 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N