CVE & CISA-KEV Catalog

CVE-2021-29585

LOW
2.5
CVSS v3
NVD

Description

TensorFlow is an end-to-end open source platform for machine learning. The TFLite computation for size of output after padding, `ComputeOutSize`(https://github.com/tensorflow/tensorflow/blob/0c9692ae7b1671c983569e5d3de5565843d500cf/tensorflow/lite/kernels/padding.h#L43-L55), does not check that the `stride` argument is not 0 before doing the division. Users can craft special models such that `ComputeOutSize` is called with `stride` set to 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

How to fix

Remediation Available
tensorflowNVD
Affected:>= 2.4.0, < 2.4.2Fixed in:2.4.2CVE-2021-29585derived 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 ComplexityHigh
Privileges RequiredLow
User InteractionNone
ScopeUnchanged

Impact

ConfidentialityNone
IntegrityNone
AvailabilityLow

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

Exploit Intelligence

0.20%probability of exploitation in 30 days
10thpercentile

Low risk: more likely to be exploited than 10% of all known CVEs.

References

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.