CVE-2026-4511
Remote Code Injection in vanna-ai exec Function (≤ v
Publication date: 2026-03-21
Last updated on: 2026-04-29
Assigner: VulDB
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| vanna-ai | vanna | to 2.0.2 (inc) |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-74 | The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component. |
| CWE-707 | The product does not ensure or incorrectly ensures that structured messages or data are well-formed and that certain security properties are met before being read from an upstream component or sent to a downstream component. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
[{'type': 'paragraph', 'content': "CVE-2026-4511 is a critical security vulnerability in the Vanna AI software (version up to 2.0.2), specifically in the legacy visualization component located in the file /src/vanna/legacy. The vulnerability arises because the system uses Python's exec() function to execute code generated by a large language model (LLM) based on user input."}, {'type': 'paragraph', 'content': 'An attacker can manipulate the user input to influence the LLM to generate malicious Python code, which is then executed on the host system. This can lead to remote code execution (RCE), allowing the attacker to run arbitrary system commands.'}, {'type': 'paragraph', 'content': 'For example, the attacker can cause the LLM to insert commands that import system modules and execute shell commands, effectively gaining control over the server.'}] [1]
How can this vulnerability impact me? :
This vulnerability can have severe impacts including:
- Arbitrary system command execution, giving attackers full control over the affected server.
- Access to sensitive local files and environment variables, such as API keys and database credentials.
- Potential data exfiltration or unauthorized lateral movement within the network if the attacker gains sufficient privileges.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
I don't know
How can this vulnerability be detected on my network or system? Can you suggest some commands?
[{'type': 'paragraph', 'content': 'This vulnerability involves remote code execution through malicious Python code injected via the legacy visualization feature of Vanna AI. Detection can focus on monitoring for unusual or unauthorized execution of Python code, especially code invoking system commands.'}, {'type': 'paragraph', 'content': 'Suggested detection methods include:'}, {'type': 'list_item', 'content': 'Monitor logs for execution of Python commands that import modules like os or subprocess.'}, {'type': 'list_item', 'content': 'Use system auditing tools (e.g., auditd on Linux) to track execution of the exec() function or suspicious Python scripts.'}, {'type': 'list_item', 'content': 'Run commands to check for unexpected processes or network connections spawned by Python, such as: `ps aux | grep python` or `lsof -i`.'}, {'type': 'list_item', 'content': 'Check for unusual file access or modifications that could indicate exploitation.'}, {'type': 'paragraph', 'content': "A proof-of-concept involves the execution of commands like `__import__('os').system('ls /')`. You can search for such patterns in logs or running processes."}] [1]
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps for CVE-2026-4511 focus on limiting the impact of arbitrary code execution in the vulnerable Vanna AI legacy visualization feature.
- If code execution is necessary, run it inside an isolated container or sandbox environment to contain potential exploits.
- Enforce minimal privileges for the process running the vulnerable code to reduce the risk of system compromise.
- Use a read-only filesystem for the environment where the code executes to prevent unauthorized modifications.
- Disable network access and restrict system calls for the execution environment to limit attacker capabilities.
Since the vendor has not responded, these containment and privilege restriction measures are critical until a patch or update is available.