CVE-2020-15202

Summary

CVECVE-2020-15202
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2020-09-25 19:15:00 UTC
Updated2021-11-18 17:26:00 UTC
DescriptionIn 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.

Risk And Classification

Problem Types: NVD-CWE-Other

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow All All All All
Operating System Opensuse Leap 15.2 All All All
Application Tensorflow Tensorflow All All All All
Application Tensorflow Tensorflow All All All All

References

ReferenceSourceLinkTags
Prevent `int64` to `int` truncation in `Shard` API usage. · tensorflow/tensorflow@27b4173 · GitHub MISC github.com Patch, Third Party Advisory
Prevent integer truncation from 64 to 32 bits. · tensorflow/tensorflow@ca8c013 · GitHub MISC github.com Patch, Third Party Advisory
Integer truncation in Shard API usage · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com Exploit, Third Party Advisory
Release TensorFlow 2.3.1 · tensorflow/tensorflow · GitHub MISC github.com Third Party Advisory
[security-announce] openSUSE-SU-2020:1766-1: moderate: Security update f SUSE lists.opensuse.org
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

Legacy QID Mappings

  • 981469 Python (pip) Security Update for tensorflow-gpu (GHSA-h6fg-mjxg-hqq4)
© CVE.report 2026 |

Use of this information constitutes acceptance for use in an AS IS condition. There are NO warranties, implied or otherwise, with regard to this information or its use. Any use of this information is at the user's risk. It is the responsibility of user to evaluate the accuracy, completeness or usefulness of any information, opinion, advice or other content. EACH USER WILL BE SOLELY RESPONSIBLE FOR ANY consequences of his or her direct or indirect use of this web site. ALL WARRANTIES OF ANY KIND ARE EXPRESSLY DISCLAIMED. This site will NOT BE LIABLE FOR ANY DIRECT, INDIRECT or any other kind of loss.

CVE, CWE, and OVAL are registred trademarks of The MITRE Corporation and the authoritative source of CVE content is MITRE's CVE web site. This site includes MITRE data granted under the following license.

Free CVE JSON API cve.report/api

CVE.report and Source URL Uptime Status status.cve.report