CVE-2026-7711
Unrestricted File Upload in MindsDB Engine Handler
Publication date: 2026-05-04
Last updated on: 2026-05-04
Assigner: VulDB
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| mindsdb | mindsdb | to 26.01 (inc) |
| mindsdb | mindsdb | to 25.11.0 (inc) |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-434 | The product allows the upload or transfer of dangerous file types that are automatically processed within its environment. |
| CWE-284 | The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
CVE-2026-7711 is a Remote Code Execution (RCE) vulnerability in MindsDB's BYOM (Bring Your Own Model) feature. It allows attackers to execute arbitrary Python code on the server without any authentication.
The vulnerability occurs because the uploaded code is executed directly using Python's exec() function without proper sandboxing or security checks.
An attacker can exploit this by sending a crafted HTTP PUT request containing malicious Python code, which the server then executes, potentially leading to full system compromise.
This issue affects MindsDB versions up to v25.11.0 and can be exploited with a single HTTP request due to lack of input validation and absence of authentication.
How can this vulnerability impact me? :
This vulnerability can lead to full system compromise because it allows remote attackers to execute arbitrary Python code on the server without any authentication.
An attacker could upload and run malicious code, potentially gaining control over the affected system, accessing sensitive data, or disrupting services.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by monitoring for suspicious HTTP PUT requests that upload Python code to the MindsDB BYOM feature. Since the exploit involves sending a crafted HTTP PUT request containing malicious Python code, inspecting web server logs or network traffic for such requests can help identify attempts to exploit this issue.
A practical detection method is to use network traffic analysis tools or web server log searches to find HTTP PUT requests targeting the MindsDB BYOM endpoint, especially those containing suspicious Python code patterns.
Example commands to detect such activity might include:
- Using grep to search web server logs for HTTP PUT requests: grep -i 'PUT' /var/log/nginx/access.log | grep 'byom'
- Using tcpdump to capture HTTP PUT requests on port 80 or 443: tcpdump -A -s 0 'tcp port 80 and (((ip[2:2] - ((ip[0]&0xf)<<2)) - ((tcp[12]&0xf0)>>2)) != 0)' | grep 'PUT'
- Using a web application firewall (WAF) or IDS/IPS to detect and alert on HTTP PUT requests containing Python code or suspicious payloads.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include restricting or disabling the HTTP PUT method on the MindsDB BYOM endpoint to prevent unauthorized code uploads.
Implementing authentication and input validation to ensure only authorized users can upload code and that uploaded code is properly sanitized or sandboxed.
If possible, update MindsDB to a version that addresses this vulnerability or apply any available patches from the vendor.
Additionally, monitor logs and network traffic for suspicious activity and consider deploying a WAF or IDS/IPS with rules to block malicious HTTP PUT requests.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The vulnerability allows remote attackers to execute arbitrary code on the server without authentication, potentially leading to full system compromise.
Such a compromise could result in unauthorized access, modification, or disclosure of sensitive data, which may violate common standards and regulations like GDPR and HIPAA that require protection of personal and health information.
However, the provided information does not explicitly detail the impact on compliance with these standards.