Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2025-1855 is a medium-severity Injection (CWE-74) vulnerability in Phpgurukul Online Shopping Portal. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 40th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-1855 is a critical SQL injection vulnerability (CWE-74, CWE-89) in PHPGurukul Online Shopping Portal 2.1. The issue affects an unknown functionality in the file /product-details.php, where manipulation of the arguments quality, price, value, name, summary, or review enables SQL injection.
The vulnerability carries a CVSS v3.1 base score of 6.3 (AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L) and can be exploited remotely. Attackers with low privileges, such as authenticated users, can leverage it to achieve low impacts on confidentiality, integrity, and availability via SQL injection.
Advisories and references, including a GitHub code audit PDF at https://github.com/panghuanjie/Code-audits/blob/main/PHPGurukul/PHPGurukul%20Online%20Shopping%20Portal%20v2.1%20SQL%20Injection3%20.pdf, the vendor site at https://phpgurukul.com/, and VULDB entries at https://vuldb.com/?ctiid.298123, https://vuldb.com/?id.298123, and https://vuldb.com/?submit.506066, detail the issue. The exploit has been disclosed publicly and may be used, with no specific patches mentioned in the available information.
The public disclosure of the exploit increases the risk of real-world exploitation against unpatched instances of PHPGurukul Online Shopping Portal 2.1.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-5809
Vulnerability Data
A vulnerability was found in PHPGurukul Online Shopping Portal 2.1. It has been declared as critical. Affected by this vulnerability is an unknown functionality of the file /product-details.php. The manipulation of the argument quality/price/value/name/summary/review leads to sql injection. The attack…
more
can be launched remotely. The exploit has been disclosed to the public and may be used.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.
SI-10 directly requires validation of information inputs to reject malformed or special-element content before it reaches downstream parsers.
Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.
System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly require input validation and output encoding that prevent injection flaws.
Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development catches injection vulnerabilities before release.
Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.
Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.
Logging supports detection of injection attempts but does not prevent the weakness.
Monitoring activities can identify active injection attacks after they occur.
Secure development life cycle mandates input validation and output encoding that directly prevent injection flaws.