CVE-2020-15197
Denial of Service in Tensorflow
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 rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix. However, malicious users can pass in tensors of different rank, resulting in a `CHECK` assertion failure and a crash. This can be used to cause denial of service in serving installations, if users are allowed to control the components of the input sparse tensor. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
How to fix CVE-2020-15197
To remediate CVE-2020-15197, upgrade the affected package to a fixed version below.
- —upgrade to 2.3.1 or later
- —upgrade to 2.3.1 or later
- —upgrade to 3cbb917b4714766030b28eba9fb41bb97ce9ee02 or later
- —upgrade to 3cbb917b4714766030b28eba9fb41bb97ce9ee02 or later
- —upgrade to 2.3.1 or later
- —upgrade to 3cbb917b4714766030b28eba9fb41bb97ce9ee02 or later
- —upgrade to 2.3.1 or later
Is CVE-2020-15197 being exploited?
Low — EPSS is 0.2%, meaning exploitation activity has not been observed at scale.
Affected packages (7)
- >= 2.3.0, < 2.3.1
- >= 2.3.0, < 2.3.1
- from 0, < 3cbb917b4714766030b28eba9fb41bb97ce9ee02 | from 0, < 2.3.1
- from 0, < 3cbb917b4714766030b28eba9fb41bb97ce9ee02 | from 0, < 2.3.1
- >= 2.3.0, < 2.3.1
- from 0, < 3cbb917b4714766030b28eba9fb41bb97ce9ee02 | from 0, < 2.3.1
- >= 2.3.0, < 2.3.1
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 4.0 | — | CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:N/SC:N/SI:N/SA:H |
| osv | CVSS 3.1 | MEDIUM6.3 | CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:N/I:N/A:H |