A path traversal vulnerability in o1lab/xmysql (all versions) allows an unauthenticated remote attacker to read and download arbitrary files from… (CVE-2026-72572)
A path traversal vulnerability exists in all versions of o1lab/xmysql. It allows an unauthenticated remote attacker to read and download arbitrary files from the server by exploiting improper sanitization of user input in the file download functionality. The vulnerability arises from the use of a user-controlled parameter in a path join operation without validation, enabling directory traversal via '../' sequences.
AI Analysis
Technical Summary
The vulnerability in o1lab/xmysql occurs in the lib/xapi.js file at lines 338 and 424, where the user-controlled req.query.name parameter is used directly in path.join(cwd, name) without sanitization. This allows an attacker to craft a path traversal payload using '../' sequences to access and download arbitrary files from the server. The flaw affects all versions of the software. The CVSS 3.1 base score is 7.5, indicating high severity, with attack vector network, no privileges required, no user interaction, and high confidentiality impact but no integrity or availability impact.
Potential Impact
An unauthenticated remote attacker can exploit this vulnerability to read and download arbitrary files from the affected server, potentially exposing sensitive system or application data. There is no impact on integrity or availability according to the CVSS vector.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict access to the affected service and monitor for suspicious requests attempting directory traversal patterns. Avoid exposing the vulnerable functionality to untrusted users.
A path traversal vulnerability in o1lab/xmysql (all versions) allows an unauthenticated remote attacker to read and download arbitrary files from… (CVE-2026-72572)
Description
A path traversal vulnerability exists in all versions of o1lab/xmysql. It allows an unauthenticated remote attacker to read and download arbitrary files from the server by exploiting improper sanitization of user input in the file download functionality. The vulnerability arises from the use of a user-controlled parameter in a path join operation without validation, enabling directory traversal via '../' sequences.
CVSS v3.1
Score 7.5high
Affected software
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Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in o1lab/xmysql occurs in the lib/xapi.js file at lines 338 and 424, where the user-controlled req.query.name parameter is used directly in path.join(cwd, name) without sanitization. This allows an attacker to craft a path traversal payload using '../' sequences to access and download arbitrary files from the server. The flaw affects all versions of the software. The CVSS 3.1 base score is 7.5, indicating high severity, with attack vector network, no privileges required, no user interaction, and high confidentiality impact but no integrity or availability impact.
Potential Impact
An unauthenticated remote attacker can exploit this vulnerability to read and download arbitrary files from the affected server, potentially exposing sensitive system or application data. There is no impact on integrity or availability according to the CVSS vector.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict access to the affected service and monitor for suspicious requests attempting directory traversal patterns. Avoid exposing the vulnerable functionality to untrusted users.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-9pgj-cxw3-gw33
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-72572"]
- Ecosystems
- []
- Database Specific Severity
- HIGH
- Cvss Version
- 3.1
Threat ID: 6a79f0cdbf8831d539f609bc
Added to database: 08/10/2026, 15:39:57 UTC
Last enriched: 08/10/2026, 15:49:29 UTC
Last updated: 08/11/2026, 03:41:00 UTC
Views: 2
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