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Vulnerability CVE-2020-15200
Published: 2020-09-25
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. |
Type:
CWE-20 (Improper Input Validation)
CVSS2 => (AV:N/AC:M/Au:N/C:N/I:N/A:P)
CVSS Base Score |
Impact Subscore |
Exploitability Subscore |
4.3/10 |
2.9/10 |
8.6/10 |
Exploit range |
Attack complexity |
Authentication |
Remote |
Medium |
No required |
Confidentiality impact |
Integrity impact |
Availability impact |
None |
None |
Partial |
References: |
https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x7rp-74x2-mjf3
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