OpenllmApplication · Bentoml

CVE-2026-15035

HIGH · 7.8 CVSS v3.1 Published 2026-07-08
Patch available
A vendor patch is available. No clean upgrade release — apply the published patch.
See remediation →
80/100
Remediation priority · High
Public exploit Zero-click Patch available 6 weeks old

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
A vulnerability was found in bentoml OpenLLM 0.6.30. This affects the function async_run_command of the file src/openllm/common.py of the component Model Repository Directory Name Handler. Performing a manipulation of the argument cmd results in command injection. Attacking locally is a requirement. The exploit has been made public and could be used. The project was informed of the problem early through an issue report but has not responded yet.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

A command injection vulnerability exists in OpenLLM 0.6.30 within the async_run_command function in src/openllm/common.py. The function fails to properly sanitize the cmd argument, allowing an attacker with local access to inject arbitrary shell commands through manipulation of this parameter.

MitigationImplement strict input validation on the cmd argument to prevent command injection, or refactor to use subprocess with list-form arguments instead of shell execution. Audit similar functions across the codebase for similar issues.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
OpenllmApplication
Affected:= 0.6.30

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Local
Complexity
Low
Privileges
Low
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

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

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Check installed OpenLLM version
    Run 'pip show openllm' or 'pip list | grep -i openllm' to identify the installed version of the openllm package
    Affected if Installed version is exactly 0.6.30
  2. Locate the vulnerable source file
    Find the file src/openllm/common.py in the OpenLLM installation directory (pip show -f openllm can reveal the location)
    Affected if The file src/openllm/common.py exists in the installed package
  3. Inspect the async_run_command function
    Open src/openllm/common.py and locate the async_run_command function. Examine how the cmd argument is used - look for subprocess calls with shell=True, string concatenation into command, or similar unsafe shell execution patterns
    Affected if The function executes cmd through a shell without proper input sanitization or uses subprocess with shell=True
  4. Verify code path accessibility
    Identify how and where async_run_command is called within the application - check if it is exposed through APIs, CLI, or internal code paths that could accept user-controlled cmd arguments
    Affected if The async_run_command function can be invoked with attacker-controlled cmd input through any application interface

Environment is affected if OpenLLM version 0.6.30 is installed AND the async_run_command function in src/openllm/common.py uses unsafe shell execution that can be controlled by local users

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Patch available Apply the vendor patch
Vendor patch github.com →
Interim mitigation

Implement strict input validation on the cmd argument to prevent command injection, or refactor to use subprocess with list-form arguments instead of shell execution. Audit similar functions across the codebase for similar issues.

Fix this in Openllm Scoped from the published advisory
  • Consultation4.0 h
  • Implementation8.0 h
  • Testing6.0 h
  • Review / QA4.0 h
22.0 hours of engineering $3,860
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2026-15035 in production — separate from our analysis above.

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
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  • Version or environment caveats, and links to real fixes
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