Security Resilience

CVE-2025-1582

SQLi in Phpgurukul Online Nurse Hiring System 1.0

Published
23 February 2025
Modified
28 February 2025
Patch / advisory
CVSS Score v4 5.3
Click a component to see what it means
Raw vectorCVSS: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:X
EPSS Score 0.0057 46th percentile
Risk Priority 33 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2025-1582 is a medium-severity Injection (CWE-74) vulnerability in Phpgurukul Online Nurse Hiring System. 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 46th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

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-2025-1582 is a critical SQL injection vulnerability in PHPGurukul Online Nurse Hiring System 1.0, affecting unknown functionality in the /admin/all-request.php file. The issue arises from manipulation of the 'viewid' argument, classified under CWE-74 (Improper Neutralization of Special Elements used in an SQL Command) and CWE-89 (SQL Injection). It 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 was published on 2025-02-23.

The vulnerability can be exploited remotely by attackers with low privileges (PR:L), requiring no user interaction and low attack complexity over the network. Successful exploitation enables partial impacts on confidentiality, integrity, and availability through SQL injection, potentially allowing unauthorized data access, modification, or disruption within the application's database.

Advisories are available via references including VulDB entries (ctiid.296558, id.296558, submit.504451), a GitHub issue at wqywfvc/CVE/issues/11, and the vendor site phpgurukul.com. The exploit has been publicly disclosed and may be used, urging practitioners to review these sources for mitigation details such as patches or workarounds.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

A vulnerability was found in PHPGurukul Online Nurse Hiring System 1.0. It has been rated as critical. Affected by this issue is some unknown functionality of the file /admin/all-request.php. The manipulation of the argument viewid leads to sql injection. The…

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attack may be launched remotely. The exploit has been disclosed to the public and may be used.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-37687Same product: Phpgurukul Online Nurse Hiring System
CVE-2024-10153Same vendor: Phpgurukul
CVE-2023-7100Same vendor: Phpgurukul
CVE-2024-10157Same vendor: Phpgurukul
CVE-2024-3767Same vendor: Phpgurukul
CVE-2023-6648Same vendor: Phpgurukul
CVE-2024-46531Same vendor: Phpgurukul
CVE-2024-10162Same vendor: Phpgurukul
CVE-2023-1950Same vendor: Phpgurukul
CVE-2024-25351Same vendor: Phpgurukul

Affected Assets

phpgurukul
online nurse hiring system
1.0

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

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Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

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Validate
Prove the fix (OWASP ASVS)
  • V6.2.5

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.

PR.PS-06 mostly match
blocks

Secure SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.

PR.AT-02 partial match
blocks

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.

finds

The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.

finds

Monitoring activities can identify active injection attacks after they occur.

prevents

Secure coding standards require proper neutralization of special elements, directly addressing CWE-74.

finds

created from the owner's anchor; an owner grade is a row and does not wait for an instrument (Mythos 2026-09-29T15:58Z).

Hardening callouts derived

DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.

  • No fine-grained STIG row for CWE-74, a class-level weakness, and none of its children carries one either.

References