CVE-2020-15201
Hence, the code is prone to heap buffer overflow.
Does this matter?
Lower severity and a low EPSS score (0.57%). Track it; it rarely justifies an emergency change on its own.
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. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
- CVSS 3.1
- 4.8 MEDIUMCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N
- EPSS
- 0.57% probability · 45th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-20, CWE-122, CWE-787
- Affected
- google/tensorflow
- Source
- security-advisories@github.com
References
- https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4Exploit, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4Exploit, Third Party Advisory
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.