Vulnerability Details : CVE-2020-15202

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Published 2020-09-25 19:15:15
Updated 2021-11-18 17:26:41
Source GitHub, Inc.
View at NVD,   CVE.org

Products affected by CVE-2020-15202

Exploit prediction scoring system (EPSS) score for CVE-2020-15202

EPSS FAQ
0.27%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 63 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2020-15202

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
9.0
 CRITICAL CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
2.2
6.0
 NIST
9.0
 CRITICAL CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
2.2
6.0
 GitHub, Inc.

CWE ids for CVE-2020-15202

  • Truncation errors occur when a primitive is cast to a primitive of a smaller size and data is lost in the conversion.
    Assigned by: security-advisories@github.com (Secondary)
  • The product does not check or incorrectly checks for unusual or exceptional conditions that are not expected to occur frequently during day to day operation of the product.
    Assigned by: security-advisories@github.com (Secondary)

References for CVE-2020-15202

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