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CVE-2026-65111

Severity:

HIGH RISK

(7.8)

Command Injection (CWE-77) in NVIDIA NeMo Speech API

CVE-2026-65111

Analyzed

Vulnerability type

Category:

Command Injection

CWE:

CWE-77

Impact:

Code Execution, Information Disclosure, and Data Tampering

Severity:

HIGH RISK

(7.8)

CVSS version:

3.1

Catch this CVE while code is being written

Detect vulnerable code directly in pull requests, so CVEs are fixed before merge.

Summary

NVIDIA NeMo Speech contains a command injection vulnerability in which attacker-controlled input may be interpreted as executable command content. Under conditions where malicious input reaches the affected processing path, a successful exploit could enable code execution, information disclosure, or data tampering.

Affected context

The vulnerability may occur in NVIDIA NeMo Speech deployments that process externally influenced input through an affected component without adequately separating data from operating-system command syntax. Exploitability depends on whether an attacker can submit or cause malicious input to be processed and whether the runtime has permissions that expose sensitive resources.

Exploit preconditions

  • Attack surface: Input-processing functionality in NVIDIA NeMo Speech
  • Required access: Ability to provide or influence input handled by the affected code path
  • Trigger point: Processing of attacker-controlled input by a command-invoking operation
  • Why exploitation is possible: Input may be incorporated into command execution without sufficient separation, validation, or restriction

Why this happens

The underlying issue is command injection, mapped to CWE-77. The vulnerable pattern occurs when application data is combined with an operating-system command or interpreter expression and is then executed without reliably enforcing a data-only boundary. This can allow specially crafted input to alter the intended command behavior.

Potential impact

  • An attacker may execute unauthorized code in the affected process context.
  • Sensitive application or host information could be disclosed.
  • Data processed or stored by the application could be modified or deleted.
  • The vulnerable environment could be used to affect connected services, depending on available permissions.

General mitigation guidance

Mitigation generally focuses on eliminating shell interpretation and reducing

trust in externally supplied input.

Common defensive patterns include:

  • Prefer dedicated library or API calls over shell-based command construction.
  • Use structured argument execution with shell interpretation disabled where command execution is unavoidable.
  • Apply allowlist-based validation and canonicalization to inputs that influence operations.
  • Keep application and service identities restricted to the minimum required permissions.
  • Isolate speech-processing workloads and limit access to sensitive files, credentials, and network resources.
  • Enforce secure-by-default input handling through shared libraries, coding standards, and review policies.

How teams detect issues like this

Organizations can look for command injection risks through:

  • Static analysis rules identifying shell invocation APIs, string concatenation, interpolation, or formatting near command execution.
  • Code review checks for attacker-controlled values crossing into subprocess, interpreter, or system-command interfaces.
  • Runtime monitoring for unexpected child processes, command interpreters, or unusual process arguments.
  • Policy enforcement that restricts shell execution from application services and flags unapproved command construction patterns.
  • Automated security review tools that identify unsanitized input flows into command-execution sinks.

Sources

SourceLink
github.comgithub.com/NVIDIA/product-security/tree/main/2026/5885
nvd.nist.govnvd.nist.gov/vuln/detail/CVE-2026-65111
cve.orgcve.org/CVERecord?id=CVE-2026-65111

Frequently asked

questions

Exploitability depends on deployment exposure. An attacker generally needs a way

to submit or influence input that reaches the affected processing path; this

may be through a network-facing service, an integrated application, or another

trusted input source.

Not necessarily. Authentication requirements depend on how NeMo Speech is

deployed and who can submit inputs. Any account, service, or integration able

to supply processed data may be relevant.

Avoid shell interpretation for application operations. Use structured APIs with

fixed commands and separately passed arguments, combined with strict

allowlist-based validation where input must influence behavior.

Enforce command-execution policies, review data flows into process-launching

functions, apply least privilege, isolate workloads, and monitor for unexpected

child processes or interpreter activity.

Find out what's already
exploitable in your codebase.