Cyber Resilience

CVE-2024-46531

SQLi in Phpgurukul Vehicle Record System 1.0

Public PoCSQLi
Published
30 October 2024
Modified
04 April 2025
CVSS Score v3.1 6.3
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
EPSS Score 0.0031 24th percentile
Risk Priority 35 floored blend · peak EPSS

Summary

CVE-2024-46531 is a medium-severity SQL Injection (CWE-89) vulnerability in Phpgurukul Vehicle Record System. Its CVSS base score is 6.3 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 24th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

phpgurukul Vehicle Record Management System v1.0 was discovered to contain a SQL injection vulnerability via the searchinputdata parameter at /index.php.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

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.
T1213.006 Databases Collection
Adversaries may leverage databases to mine valuable information.
Why these techniques?

SQL injection vulnerability enables exploitation of public-facing web application (T1190) and facilitates data collection from databases via arbitrary SQL queries (T1213.006).

CVEs Like This One

CVE-2024-10331Same product: Phpgurukul Vehicle Record System
CVE-2024-25351Same vendor: Phpgurukul
CVE-2024-48280Same vendor: Phpgurukul
CVE-2024-3770Same vendor: Phpgurukul
CVE-2023-51978Same vendor: Phpgurukul
CVE-2024-48282Same vendor: Phpgurukul
CVE-2024-5065Same vendor: Phpgurukul
CVE-2024-5359Same vendor: Phpgurukul
CVE-2024-5135Same vendor: Phpgurukul
CVE-2023-48720Same vendor: Phpgurukul

Affected Assets

phpgurukul
vehicle record system
1.0

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

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

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.

addresses: CWE-89

Penetration testing uses SQL injection payloads against database interfaces, identifying and supporting fixes for SQL injection weaknesses.

addresses: CWE-89

Validates query inputs to prevent SQL syntax or command manipulation.

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
prevents

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
prevents

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.

detects

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

prevents

Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.

prevents

Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.

prevents

Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.

prevents

Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.

References