CVE-2021-41221 - CVE House

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Status published High CVE-2021-41221

Access to invalid memory during shape inference in `Cudnn*` ops

7.8 CVSS

Vulnerability Description

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. 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.

Impact Analysis

Refer to official advisory for detailed impact metrics.

Remediation

Ensure systems are updated to the latest vendor-supplied patch levels.

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Credits & Attribution

No credits recorded in the NVD database.

References

More from tensorflow

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TensorFlow segfault in array_ops.upper_bound

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TensorFlow has double free in Fractional(Max/Avg)Pool

TensorFlow has null dereference on ParallelConcat with XLA

Affected Vendor

tensorflow

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Affected Software

tensorflow

Vulnerable Versions:

>= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4

Timeline

Official Publish: November 5th, 2021

Last Modified: August 4th, 2024

Added to House: July 21st, 2026

CVSS Vectors

V3: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Weaknesses (CWE)

MITRE ATT&CK TTPs

T1203 Exploitation for Client Execution

T1068 Exploitation for Privilege Escalation

Privilege Escalation

T1055 Process Injection

Defense Evasion

T1105 Ingress Tool Transfer

Command and Control