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.
Published 2020-09-25 19:15:15
Updated 2021-11-18 17:22:34
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Overflow

Products affected by CVE-2020-15198

Exploit prediction scoring system (EPSS) score for CVE-2020-15198

0.10%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 39 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2020-15198

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
5.8
MEDIUM AV:N/AC:M/Au:N/C:P/I:P/A:N
8.6
4.9
NIST
5.4
MEDIUM CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
2.2
2.7
NIST
5.4
MEDIUM CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
2.2
2.7
GitHub, Inc.

CWE ids for CVE-2020-15198

  • The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. This may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data.
    Assigned by:
    • nvd@nist.gov (Primary)
    • security-advisories@github.com (Secondary)
  • A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().
    Assigned by: security-advisories@github.com (Secondary)

References for CVE-2020-15198

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