CVE-2022-35965 - CVE House

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Status published Medium CVE-2022-35965

Segfault in `LowerBound` and `UpperBound` in TensorFlow

5.9 CVSS

Vulnerability Description

TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

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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Arbitrary code injection vulnerability in Keras framework < 2.13

TensorFlow segfault in array_ops.upper_bound

TensorFlow has Floating Point Exception in TFLite in conv kernel

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:

< 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1

Timeline

Official Publish: September 16th, 2022

Last Modified: April 23rd, 2025

Added to House: July 21st, 2026

CVSS Vectors

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

Weaknesses (CWE)

MITRE ATT&CK TTPs

T1499 Endpoint Denial of Service

T1499.004 Application or System Exploitation

T1489 Service Stop

T1203 Exploitation for Client Execution

T1190 Exploit Public-Facing Application