CVE & CISA-KEV Catalog

CVE-2021-37640

MEDIUM
5.5
CVSS v3
NVD

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.SparseReshape` can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The reshape functor blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0. We have patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version.

How to fix

Remediation Available
tensorflowNVD
Affected:>= 2.4.0, < 2.4.3Fixed in:2.4.3CVE-2021-37640derived from NVD

Remediation is compiled from vendor and distribution security advisories. Always confirm against the linked source for your exact version and platform.

CVSS v3 Vector

Exploitability

Attack VectorLocal
Attack ComplexityLow
Privileges RequiredLow
User InteractionNone
ScopeUnchanged

Impact

ConfidentialityNone
IntegrityNone
AvailabilityHigh

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Exploit Intelligence

0.15%probability of exploitation in 30 days
5thpercentile

Low risk: more likely to be exploited than 5% of all known CVEs.

References

Third-Party Advisory1

Related Vulnerabilities

Other CWE-369 vulnerabilities, ordered by exploit likelihood. View all

CVESeverityCVSSEPSSExploitedFix
CVE-2012-0207High7.520%-Fix
CVE-2017-8537Medium5.517%--
CVE-2017-8536Medium5.517%--
CVE-2017-8535Medium5.517%--
CVE-2007-2237Medium5.515%--
CVE-2025-0317High7.513%--
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This product uses NVD data but is not endorsed or certified by the NVD. EPSS scores courtesy of FIRST.org (https://www.first.org/epss). Source: CISA KEV Catalog. Data as of 2024-11-21.