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.
Published 2020-09-25 19:15:15
Updated 2021-11-18 17:24:50
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: OverflowMemory CorruptionInput validation

Products affected by CVE-2020-15201

Exploit prediction scoring system (EPSS) score for CVE-2020-15201

0.20%
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-2020-15201

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
6.8
MEDIUM AV:N/AC:M/Au:N/C:P/I:P/A:P
8.6
6.4
NIST
4.8
MEDIUM CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N
2.2
2.5
NIST
4.8
MEDIUM CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N
2.2
2.5
GitHub, Inc.

CWE ids for CVE-2020-15201

  • The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
    Assigned by: 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)
  • The product writes data past the end, or before the beginning, of the intended buffer.
    Assigned by: nvd@nist.gov (Primary)

References for CVE-2020-15201

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