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NVIDIA NeMo Speech CVE-2026-65178

| EUVDEUVD-2026-84405 HIGH
Deserialization of Untrusted Data (CWE-502)
2026-09-22 nvidia GHSA-mmmc-pj37-37jg
7.8
CVSS 3.1 · Vendor: nvidia
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Severity by source

Vendor (nvidia) PRIMARY
7.8 HIGH
AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
vuln.today AI
7.3 HIGH

Local config-ingestion flaw (AV:L) that hinges on a user loading an attacker-supplied YAML (UI:R); PR:L per vendor, low complexity, and unsafe deserialization yields full code-exec impact (C/I/A:H).

3.1 AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H
4.0 AV:L/AC:L/AT:N/PR:L/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Primary rating from Vendor (nvidia).

CVSS VectorVendor: nvidia

Attack Vector
Local
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

3
Metadata Corrected
Sep 22, 2026 - 15:40 vuln.today
tag: Python added
Analysis Generated
Sep 22, 2026 - 15:17 vuln.today
CVE Published
Sep 22, 2026 - 14:03 cve.org
HIGH 7.8

DescriptionCVE.org

NVIDIA NeMo contains a vulnerability in its dataset-loading workflow where a maliciously crafted model_config.yaml can inject unsafe parameters. A successful exploit of this vulnerability may lead to code execution, data tampering, denial of service, and information disclosure.

AnalysisAI

Code execution, data tampering, denial of service, and information disclosure in NVIDIA NeMo Speech (versions 0.0 through 2.9) stem from unsafe deserialization of parameters injected through a maliciously crafted model_config.yaml handled by the dataset-loading workflow. The issue is locally scoped: the assessed vector is CVSS:3.1/AV:L/AC:L/PR:L/UI:R with a base score of 7.8, meaning an attacker with low privileges must place the crafted config where the victim or an automated pipeline will parse it - for example inside a shared or downloaded model bundle or dataset - and exploitation depends on that untrusted NeMo config being loaded. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
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Delivery
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Exploit
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Execution
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Impact
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Vulnerability AssessmentAI

Exploitation Requires the victim to load an attacker-controlled model_config.yaml through NVIDIA NeMo Speech's dataset-loading workflow (affected versions 0.0 through 2.9); the malicious YAML injects unsafe parameters that are deserialized without a safe-loading guard. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment This is a genuine but locally-scoped code-execution flaw. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario Full exploit scenario with step-by-step reproduction available after sign-in.
Remediation Patch status is not confirmed from the available intelligence: no fixed version is identified in the provided data, and the references point only to the NVD and CVE.org records plus the NVIDIA product security advisory at https://github.com/NVIDIA/product-security/tree/main/2026/5885, which should be consulted for the vendor's stated fixed release and any upgrade guidance for NeMo Speech versions 0.0 through 2.9 - treat that advisory as the primary remediation source rather than an assumed version number. … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours, inventory all NVIDIA NeMo Speech installations running versions 0.0 through 2.9 and identify any dataset-loading workflows that consume model_config.yaml from shared or untrusted sources; immediately restrict such workflows to trusted, verified model bundles only. …

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CVE-2026-65178 vulnerability details – vuln.today

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