CVEvulnerability

CVE-2020-15198

5.4 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])
5.4 MEDIUM — CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
CVSS 3.1 ([email protected])
5.4 MEDIUM — CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
CVSS 2.0 ([email protected])
5.8 MEDIUM — AV:N/AC:M/Au:N/C:P/I:P/A:N
Weaknesses
CWE-119, CWE-122

Description

In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

Affected configurations

• google tensorflow (>= 2.3.0 < 2.3.1)

Related

Weakness · CWE (2)

  • CWE-119 Improper Restriction of Operations within the Bounds of a Memory Buffer weakness
  • CWE-122 Heap-based Buffer Overflow weakness

References