CVE-2022-36012 - CVE House
Back to Database
Status published Medium CVE-2022-36012

Assertion fail on MLIR empty edge names in TensorFlow

Vulnerability Description

TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it crashes. We have patched the issue in GitHub commit ad069af92392efee1418c48ff561fd3070a03d7b. 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.

THREAT MONITOR

Am I Vulnerable?

Launch our assessment wizard to check if your infrastructure is exposed to • CVE-2022-36012

Credits & Attribution

No credits recorded in the NVD database.

References

More from tensorflow

View All →
CVE-2024-3660
Arbitrary code injection vulnerability in Keras framework < 2.13
Unknown 0
CVE-2023-33976
TensorFlow segfault in array_ops.upper_bound
High 7.5
CVE-2023-27579
TensorFlow has Floating Point Exception in TFLite in conv kernel
High 7.5
CVE-2023-25801
TensorFlow has double free in Fractional(Max/Avg)Pool
High 8
CVE-2023-25676
TensorFlow has null dereference on ParallelConcat with XLA
High 7.5

Affected Vendor

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)

CWE-617

MITRE ATT&CK TTPs

T1499 Endpoint Denial of Service
Impact
T1190 Exploit Public-Facing Application
Initial Access
T1059 Command and Scripting Interpreter
Execution
T1562 Impair Defenses
Defense Evasion
T1485 Data Destruction
Impact