CVEvulnerability

CVE-2020-15201

4.8 MEDIUM Published 2020-09-25 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2020-09-25
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
4.8 MEDIUM — CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N
CVSS 3.1 ([email protected])
4.8 MEDIUM — CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N
CVSS 2.0 ([email protected])
6.8 MEDIUM — AV:N/AC:M/Au:N/C:P/I:P/A:P
Weaknesses
CWE-122, CWE-20, CWE-787

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.

Affected configurations

• google tensorflow 2.3.0

Related

Weakness · CWE (3)

  • CWE-122 Heap-based Buffer Overflow weakness
  • CWE-20 Improper Input Validation weakness
  • CWE-787 Out-of-bounds Write weakness

References