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VULNERABILITIES

CVE-2020-15202 Details

Description

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.

Metrics

References to Advisories, Solutions, and Tools

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Weakness Enumeration

CWE-IDCWE NameSource
NVD-CWE-OtherWeakness Not in a Standard CWE Category[email protected]
CWE-197Numeric Truncation Error[email protected]
CWE-754Improper Check for Unusual or Exceptional Conditions[email protected]

Affected Products

ProductVersions
google tensorflow
< 1.15.4
>= 2.0.0, < 2.0.3
>= 2.1.0, < 2.1.2
>= 2.2.0, < 2.2.1
>= 2.3.0, < 2.3.1

CPE

  • cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*

Remediation

  • No remediation found in references.
opensuse leap
15.2

CPE

  • cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:*

Remediation

  • No remediation found in references.

Change History

12 change records found show changes


QUICK INFO

CVE Dictionary Entry:
CVE-2020-15202
NVD Published Date:
Sep 25, 2020
NVD Last Modified:
Jun 17, 2026
Source:
[email protected]
CVE-2020-15202 Details - Not Deferred