Overview
- 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.
- Source
- security-advisories@github.com
- NVD status
- Analyzed
Risk scores
CVSS 3.1
- Type
- Primary
- Base score
- 5.4
- Impact score
- 2.7
- Exploitability score
- 2.2
- Vector string
- CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
- Severity
- MEDIUM
CVSS 2.0
- Type
- Primary
- Base score
- 5.8
- Impact score
- 4.9
- Exploitability score
- 8.6
- Vector string
- AV:N/AC:M/Au:N/C:P/I:P/A:N
Social media
- Hype score
- Not currently trending
Configurations
[
{
"nodes": [
{
"negate": false,
"cpeMatch": [
{
"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*",
"vulnerable": true,
"matchCriteriaId": "B617650A-B5A1-44BB-BB3A-2EF83648B100",
"versionEndExcluding": "2.3.1",
"versionStartIncluding": "2.3.0"
}
],
"operator": "OR"
}
]
}
]