Overview
- Description
- In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. 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
- 5.9
- Impact score
- 3.6
- Exploitability score
- 2.2
- Vector string
- CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
- Severity
- MEDIUM
CVSS 2.0
- Type
- Primary
- Base score
- 4.3
- Impact score
- 2.9
- Exploitability score
- 8.6
- Vector string
- AV:N/AC:M/Au:N/C:N/I:N/A:P
Social media
- Hype score
- Not currently trending
Configurations
[
{
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{
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"cpeMatch": [
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"criteria": "cpe:2.3:a:google:tensorflow:2.3.0:*:*:*:-:*:*:*",
"vulnerable": true,
"matchCriteriaId": "D0A7B69E-9388-48F0-B744-49453EBAF5D5"
}
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"operator": "OR"
}
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