CVE-2025-7155
Published: 08 July 2025
Summary
CVE-2025-7155 is a medium-severity Injection (CWE-74) vulnerability in Phpgurukul Online Notes Sharing System. Its CVSS base score is 5.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 49.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-20327
Vulnerability details
A vulnerability, which was classified as critical, was found in PHPGurukul Online Notes Sharing System 1.0. This affects an unknown part of the file /Dashboard of the component Cookie Handler. The manipulation of the argument sessionid leads to sql injection.…
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It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The original researcher disclosure suspects an XPath Injection vulnerability; however, the provided attack payload appears to be characteristic of an SQL Injection attack.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SQL injection in public-facing web app (/Dashboard via sessionid cookie) enables initial access via exploitation of public-facing application (T1190), data collection from databases (T1213.006), and abuse of server software component (T1505, as mapped in advisory).
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing uses SQL injection payloads against database interfaces, identifying and supporting fixes for SQL injection weaknesses.
Developer assessments and testing (including injection-focused techniques) identify improper neutralization of special elements, and the verifiable flaw remediation corrects them pre-deployment.
Validates query inputs to prevent SQL syntax or command manipulation.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.