CVE & CISA-KEV Catalog

CVE-2021-29539

LOW
2.5
CVSS v3
NVD

Description

TensorFlow is an end-to-end open source platform for machine learning. Calling `tf.raw_ops.ImmutableConst`(https://www.tensorflow.org/api_docs/python/tf/raw_ops/ImmutableConst) with a `dtype` of `tf.resource` or `tf.variant` results in a segfault in the implementation as code assumes that the tensor contents are pure scalars. We have patched the issue in 4f663d4b8f0bec1b48da6fa091a7d29609980fa4 and will release TensorFlow 2.5.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. If using `tf.raw_ops.ImmutableConst` in code, you can prevent the segfault by inserting a filter for the `dtype` argument.

How to fix

Remediation Available
tensorflowNVD
Affected:>= 2.4.0, < 2.4.2Fixed in:2.4.2CVE-2021-29539derived 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

0.19%probability of exploitation in 30 days
9thpercentile

Low risk: more likely to be exploited than 9% of all known CVEs.

References

Related Vulnerabilities

Other CWE-681 vulnerabilities, ordered by exploit likelihood. View all

CVESeverityCVSSEPSSExploitedFix
CVE-2009-0231High8.837%--
CVE-2016-3074Critical9.837%-Fix
CVE-2008-1721High7.523%-Fix
CVE-2017-7308High7.818%-Fix
CVE-2022-34169High7.518%-Fix
CVE-2022-43663High8.114%--
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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.