Security Resilience

CVE-2025-7483

SQLi in Phpgurukul Vehicle Parking Management System 1.13

Public PoCSQLi
Published
12 July 2025
Modified
17 June 2026
Patch / advisory
CVSS Score v4 5.5
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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 0.0049 41th percentile
Risk Priority 39 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-2025-7483 is a medium-severity Injection (CWE-74) vulnerability in Phpgurukul Vehicle Parking Management System. Its CVSS base score is 5.5 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Compromise Infrastructure (T1584); ranked at the 41th 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-2025-7483 is a critical SQL injection vulnerability in PHPGurukul Vehicle Parking Management System version 1.13. The flaw affects the processing of the /users/forgot-password.php file, where manipulation of the email argument enables SQL injection. It carries a CVSS v3.1 base score of 7.3 (AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L) and maps to CWE-74 and CWE-89. The vulnerability was published on 2025-07-12.

The attack can be initiated remotely by unauthenticated attackers with network access and low complexity. By crafting malicious input for the email parameter in forgot-password requests, attackers can execute SQL injection, potentially achieving low-impact disruptions to confidentiality, integrity, and availability.

Advisories referenced in VulDB entries (ctiid.316133, id.316133, submit.610571) document the issue and note that the exploit has been publicly disclosed via a GitHub issue (f1rstb100d/myCVE/issues/114), making it available for use by attackers. The vendor site phpgurukul.com is listed, but no specific patches or mitigations are detailed in the CVE information.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

A vulnerability was found in PHPGurukul Vehicle Parking Management System 1.13. It has been rated as critical. This issue affects some unknown processing of the file /users/forgot-password.php. The manipulation of the argument email leads to sql injection. The attack may…

more

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

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1584 Compromise Infrastructure Resource Development
Adversaries may compromise third-party infrastructure that can be used during targeting.
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.
T1211 Exploitation for Stealth Stealth
Adversaries may exploit vulnerabilities to evade detection by hiding activity, suppressing logging, or operating within trusted or unmonitored components.
T1212 Exploitation for Credential Access Credential Access
Adversaries may exploit software vulnerabilities in an attempt to collect credentials.
T1491.002 External Defacement Impact
An adversary may deface systems external to an organization in an attempt to deliver messaging, intimidate, or otherwise mislead an organization or users.
T1599 Network Boundary Bridging Defense Impairment
Adversaries may bridge network boundaries by compromising perimeter network devices or internal devices responsible for network segmentation.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2025-7521Same product: Phpgurukul Vehicle Parking Management System
CVE-2025-7479Same product: Phpgurukul Vehicle Parking Management System
CVE-2025-7481Same product: Phpgurukul Vehicle Parking Management System
CVE-2025-4704Same product: Phpgurukul Vehicle Parking Management System
CVE-2025-7490Same product: Phpgurukul Vehicle Parking Management System
CVE-2025-7480Same product: Phpgurukul Vehicle Parking Management System
CVE-2025-4705Same product: Phpgurukul Vehicle Parking Management System
CVE-2025-4703Same product: Phpgurukul Vehicle Parking Management System
CVE-2025-7522Same product: Phpgurukul Vehicle Parking Management System
CVE-2025-7520Same product: Phpgurukul Vehicle Parking Management System

Affected Assets

phpgurukul
vehicle parking management system
1.13

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