AI Threat Alert
CVE-2020-15199
MEDIUMIn Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor...
Full analysis pending. Showing NVD description excerpt.
Affected Systems
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| tensorflow | pip | — | No patch |
Do you use tensorflow? You're affected.
Severity & Risk
Recommended Action
No patch available
Monitor for updates. Consider compensating controls or temporary mitigations.
Compliance Impact
Compliance analysis pending. Sign in for full compliance mapping when available.
Technical Details
NVD Description
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since `BatchedMap` is equivalent to a vector, it needs to have at least one element to not be `nullptr`. If user passes a `splits` tensor that is empty or has exactly one element, we get a `SIGABRT` signal raised by the operating system. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Weaknesses (CWE)
CVSS Vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H References
- github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02 Patch 3rd Party
- github.com/tensorflow/tensorflow/releases/tag/v2.3.1 3rd Party
- github.com/tensorflow/tensorflow/security/advisories/GHSA-x5cp-9pcf-pp3h Exploit 3rd Party
- github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02 Patch 3rd Party
- github.com/tensorflow/tensorflow/releases/tag/v2.3.1 3rd Party
- github.com/tensorflow/tensorflow/security/advisories/GHSA-x5cp-9pcf-pp3h Exploit 3rd Party