CVE-2025-65133
Published: 14 April 2026
Summary
CVE-2025-65133 is a critical-severity SQL Injection (CWE-89) vulnerability. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 40.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified are NIST 800-53 SI-10 (Information Input Validation) and SI-2 (Flaw Remediation).
Deeper analysis
CVE-2025-65133 is a SQL injection vulnerability (CWE-89) affecting the School Management System version 1.0 developed by manikandan580. Published on 2026-04-14, it allows attackers to manipulate SQL query logic through a crafted HTTP request to an affected endpoint. The vulnerability carries a CVSS v3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H), indicating critical severity due to its potential for high impact on confidentiality, integrity, and availability.
Unauthenticated or authenticated remote attackers can exploit this vulnerability over the network with low complexity and no user interaction required. By sending a specially crafted HTTP request, attackers can extract sensitive database information, potentially enabling further compromise such as data exfiltration, modification, or denial of service.
Advisories detailing the issue, including a README and proof-of-concept, are available in the TREXNEGRO Security-Advisories GitHub repository at the referenced URLs. No specific patches or mitigations are detailed in the provided information.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-209444
Vulnerability details
A SQL injection vulnerability exists in the School Management System (version 1.0) by manikandan580. An unauthenticated or authenticated remote attacker can supply a crafted HTTP request to the affected endpoint to manipulate SQL query logic and extract sensitive database information.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SQL injection vulnerability in public-facing web application directly enables T1190 (Exploit Public-Facing Application) and facilitates unauthorized database access and extraction of sensitive information via T1213.006 (Data from Information Repositories: Databases).
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Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Directly prevents SQL injection by validating crafted HTTP request inputs at the affected endpoint to ensure they conform to expected formats and reject malicious payloads.
Enforces restrictions such as length limits and allowed character sets on HTTP inputs to block SQL injection attempts manipulating query logic.
Requires timely identification, reporting, and patching of the specific SQL injection flaw in School Management System version 1.0 to eliminate the vulnerability.