Cyber Resilience

CVE-2025-51683

SQLi in Mjobtime 15.7.2

Public PoCSQLi
Published
01 December 2025
Modified
05 July 2026
CVSS Score v3.1 9.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0043 35th percentile
Risk Priority 71 floored blend · peak EPSS

Summary

CVE-2025-51683 is a critical-severity SQL Injection (CWE-89) vulnerability in Mjobtime Mjobtime. 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 35th 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-2025-51683 is a blind SQL injection (SQLi) vulnerability in mJobtime version 15.7.2, a time management software accessible via mjobtime.com. Published on 2025-12-01, the flaw resides in the /Default.aspx/update_profile_Server endpoint, where unauthenticated attackers can execute arbitrary SQL statements through a crafted POST request. It 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) and maps to CWE-89.

Remote unauthenticated attackers can exploit this vulnerability over the network with low attack complexity and no user interaction or privileges required. By sending a specially crafted POST request, they can inject and execute arbitrary SQL statements, potentially compromising the confidentiality, integrity, and availability of the database with high impact.

Advisories such as the one from InfoGuard Labs (covering CVE-2025-51682 and CVE-2025-51683) describe the SQLi in this time management software, including paths to potential RCE. Practitioners should consult these references and the vendor site at mjobtime.com for mitigation details, patch availability, or workarounds.

OWASP Top 10 for Web (2025)

A05:2025 Injection

EU & UK References

Vulnerability Data

A blind SQL Injection (SQLi) vulnerability in mJobtime v15.7.2 allows unauthenticated attackers to execute arbitrary SQL statements via a crafted POST request to the /Default.aspx/update_profile_Server endpoint .

CWE(s)
CWE-89

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.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-26034Shared CWE-89
CVE-2023-46914Shared CWE-89
CVE-2023-44284Shared CWE-89
CVE-2023-48722Shared CWE-89
CVE-2024-4071Shared CWE-89
CVE-2023-49085Shared CWE-89
CVE-2024-25314Shared CWE-89
CVE-2024-0528Shared CWE-89
CVE-2024-8167Shared CWE-89
CVE-2023-7142Shared CWE-89

Affected Assets

mjobtime
mjobtime
15.7.2

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

Mitigating Controls (NIST 800-53 r5) AI

SA-11 Developer Testing and Evaluation good match

Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.

SI-10 Information Input Validation good match

Input validation directly stops untrusted data from reaching SQL query construction without neutralization.

SA-8 Security and Privacy Engineering Principles partial match

Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.

SI-4 System Monitoring partial match

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
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.

A.8.29 Security testing in development and acceptance mostly match
finds

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

A.5.6 Contact with special interest groups partial match
prevents

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

A.5.7 Threat intelligence partial match
prevents

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

A.8.25 Secure development life cycle partial match
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.

A.8.28 Secure coding partial match
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