CVE-2020-15198 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: =2.3.0 || >=2.3.0 <2.3.1

Severity

Level: Medium

CVSS v3.1: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N

CVSS v4.0: CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N

EPSS: 0.00169 pctl0.38487

Details

Heap buffer overflow in Tensorflow ### Impact 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: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L193-L195 Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. ### Patches We have patched the issue in 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and will release a patch release. We recommend users to upgrade to TensorFlow 2.3.1. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability is a variant of [GHSA-p5f8-gfw5-33w4](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4)

Metadata

Created: 2020-09-25T18:28:22Z
Modified: 2024-10-28T19:57:59Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/09/GHSA-jc87-6vpp-7ff3/GHSA-jc87-6vpp-7ff3.json
CWE IDs: ["CWE-119", "CWE-122"]
Alternative ID: GHSA-jc87-6vpp-7ff3
Finding: F184
Auto approve: 1