CVE & CISA-KEV Catalog

CVE-2021-41201

HIGH
7.8
CVSS v3
NVD

Description

TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

How to fix

Remediation Available
tensorflowNVD
Affected:>= 2.5.0, < 2.5.2Fixed in:2.5.2CVE-2021-41201derived 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

ConfidentialityHigh
IntegrityHigh
AvailabilityHigh

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

Exploit Intelligence

0.24%probability of exploitation in 30 days
15thpercentile

Low risk: more likely to be exploited than 15% of all known CVEs.

References

Exploit1

Related Vulnerabilities

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CVE-2018-9948Medium6.564%--
CVE-2018-11803High7.558%-Fix
CVE-2022-21971High7.854%KEVFix
CVE-2010-1818High9.343%--
CVE-2015-1770High8.835%KEV-
CVE-2017-12561Critical9.831%--
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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.