CVE-2022-41896

`tf.raw_ops.Mfcc` crashes in Tensorflow

HIGH

7.5

CVSS Score

Published: November 18, 2022 at 12:00 AM UTC

Updated: June 17, 2026 at 05:04 AM UTC

2 products affected across 2 vendorsTensorflowTensorFlow

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Severity

HIGH7.5

Exploit prediction

EPSS 0.5%

SSVC

PoC

Description

TensorFlow is an open source platform for machine learning. If `ThreadUnsafeUnigramCandidateSampler` is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Affected

Our own answer: ranges merged, affected separated from platform-only, with confidence and review flags.

Tensorflow · Google

95%

v < 2.8.42.10.0 ≤ v < 2.10.12.9.0 ≤ v < 2.9.3

Affected range stops below 2.10.1, so it looks safe — our inference, not a vendor statement

Affected range stops below 2.8.4, so it looks safe — our inference, not a vendor statement

Affected range stops below 2.9.3, so it looks safe — our inference, not a vendor statement

TensorFlow · Tensorflow

60%

v < 2.10.1v < 2.8.4v < 2.9.3

Affected range stops below 2.10.1, so it looks safe — our inference, not a vendor statement

Affected range stops below 2.8.4, so it looks safe — our inference, not a vendor statement

Affected range stops below 2.9.3, so it looks safe — our inference, not a vendor statement

Remediation

No guide yet

No remediation guidance has been written for this CVE yet. What the record does show:

Patch and advisory references

References (3)

Third Party Advisory

Source: [email protected]

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/mirror_pad_op.cc

PatchThird Party Advisory

Source: [email protected]

https://github.com/tensorflow/tensorflow/commit/39ec7eaf1428e90c37787e5b3fbd68ebd3c48860

ExploitPatchThird Party Advisory

Source: [email protected]

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rmg2-f698-wq35

SSVC — Action Prioritization

SSVCPoCNot automatablePartial impact

SSVC signals action urgency (what to patch first), separate from CVSS which measures severity.

CVSS

7.5HIGH[email protected]

Attack Vector: NETWORK
Complexity: LOW
Privileges: NONE
User Interaction: NONE
Scope: UNCHANGED
Confidentiality: NONE
Integrity: NONE
Availability: HIGH

Vector?

Quick Info

StatusMODIFIED

CWE

CWE-20CWE-1284

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