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CVE-2026-2531
6.3 MEDIUM
- CVSS version (CVSS): 3.1
- Attack Vector (AV): Network (N)
- Attack Complexity (AC): Low (L)
- Privileges Required (PR): Low (L)
- User Interaction (UI): None (N)
- Scope (S): Unchanged (U)
- Confidentiality (C): Low (L)
- Integrity (I): Low (L)
- Availability (A): Low (L)
- Exploit Code Maturity (E): Proof-of-Concept (P)
- Remediation Level (RL): Official Fix (O)
- Report Confidence (RC): Confirmed (C)
- Modified Attack Vector (MAV): Network (N)
- Modified Attack Complexity (MAC): Low (L)
- Modified Privileges Required (MPR): Low (L)
- Modified User Interaction (MUI): None (N)
- Modified Confidentiality (MC): Low (L)
- Modified Scope (MS): Unchanged (U)
- Modified Integrity (MI): Low (L)
- Modified Availability (MA): Low (L)
by @LeSuisse Activity log
- Created suggestion
-
@LeSuisse
ignored
3 packages
- python312Packages.mindsdb-evaluator
- python313Packages.mindsdb-evaluator
- python314Packages.mindsdb-evaluator
- @LeSuisse dismissed
MindsDB File Upload security.py clear_filename server-side request forgery
A security vulnerability has been detected in MindsDB up to 25.14.1. This vulnerability affects the function clear_filename of the file mindsdb/utilities/security.py of the component File Upload. Such manipulation leads to server-side request forgery. The attack may be performed from remote. The exploit has been disclosed publicly and may be used. The name of the patch is 74d6f0fd4b630218519a700fbee1c05c7fd4b1ed. It is best practice to apply a patch to resolve this issue.
References
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VDB-346119 | MindsDB File Upload security.py clear_filename server-side request forgery technical-descriptionvdb-entry
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Submit #748219 | mindsdb v25.14.1 SSRF third-party-advisory
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https://github.com/mindsdb/mindsdb/pull/12213 issue-tracking
Affected products
MindsDB
- ==25.14.0
- ==25.14.1
Ignored packages (3)
pkgs.python312Packages.mindsdb-evaluator
None
pkgs.python313Packages.mindsdb-evaluator
Model evaluation for Machine Learning pipelines
pkgs.python314Packages.mindsdb-evaluator
Model evaluation for Machine Learning pipelines