CVE-2024-5826
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 · uneditedIn the latest version of vanna-ai/vanna, the `vanna.ask` function is vulnerable to remote code execution due to prompt injection. The root cause is the lack of a sandbox when executing LLM-generated code, allowing an attacker to manipulate the code executed by the `exec` function in `src/vanna/base/base.py`. This vulnerability can be exploited by an attacker to achieve remote code execution on the app backend server, potentially gaining full control of the server.
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 confidenceThe vanna.ask function in vanna-ai/vanna allows remote code execution through prompt injection. The vulnerability stems from the lack of sandboxing around LLM-generated code that gets executed via Python's exec() function in src/vanna/base/base.py, allowing attackers to execute arbitrary commands on the server.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
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
- Network
- Complexity
- Low
- Privileges
- None
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
CVSS:3.0/AV:N/AC:L/PR:N/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 checksWork through these to decide whether this CVE applies to you.
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Identify vanna installation and versionRun 'pip show vanna' or check your requirements file to find the installed version of the vanna packageAffected if The installed version is any version of vanna-ai/vanna that contains the exec() call in src/vanna/base/base.py without sandboxing
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Locate the vulnerable exec() callInspect the file src/vanna/base/base.py and search for the exec() function call within the code path triggered by vanna.ask()Affected if The file contains an exec() call that executes LLM-generated code without a sandboxing wrapper (such as Docker, gVisor, or an isolated execution environment)
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Verify if user input reaches the ask() functionReview your application code to determine whether user-supplied prompts are passed to vanna.ask()Affected if User-provided prompts or external data can be injected into the vanna.ask() function, which then gets processed by the LLM and executed via exec()
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Check for input sanitization or validationReview the code that handles prompts before passing them to vanna.ask() to see if any filtering, validation, or prompt injection mitigation is appliedAffected if No input validation or sanitization is performed on prompts before they reach the LLM that generates the executed code
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Confirm execution environment isolationExamine the runtime environment where vanna executes (the Python process) to determine if it runs in an isolated container, VM, or restricted sandboxAffected if The vanna library executes in the same environment as other application components without process-level isolation
You are affected if vanna is installed and your application passes user-controlled input to vanna.ask() while the exec() call in src/vanna/base/base.py lacks sandboxing isolation.
Generated from the published advisory. Verify against your own configuration.
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 dataImplement a secure sandboxing mechanism (such as Docker containers, gVisor, or a dedicated isolated execution environment) around the exec() call to prevent unauthorized system access, combined with input validation on the prompt injection vector.
- Consultation6.0 h
- Implementation20.0 h
- Testing10.0 h
- Review / QA6.0 h
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Free · runs locallyCheck whether your project pulls in CVE-2024-5826 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2024-5826 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Version or environment caveats, and links to real fixes
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