CVE-2024-4257
SQLi in Bluenettechnology Clinical Browsing System 1.2.1
Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:LSummary
CVE-2024-4257 is a medium-severity SQL Injection (CWE-89) vulnerability in Bluenettechnology Clinical Browsing System. Its CVSS base score is 6.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 4% of CVEs by exploit likelihood; 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.
A vulnerability identified as CVE-2024-4257 exists in BlueNet Technology Clinical Browsing System 1.2.1 and has been rated critical under CWE-89. It resides in an unknown portion of the /xds/deleteStudy.php file, where manipulation of the documentUniqueId argument permits SQL injection; the flaw can be triggered remotely and carries a CVSS 3.1 score of 6.3.
An authenticated attacker with low privileges can supply crafted input to the affected parameter and execute arbitrary SQL commands against the backend database, resulting in limited impacts to confidentiality, integrity, and availability. Public exploit code has already been released.
The associated EPSS score stands at 0.9213 with a recorded peak of 0.9254. References containing further technical details are published on VulDB and GitHub.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-32809
Vulnerability Data
A vulnerability was found in BlueNet Technology Clinical Browsing System 1.2.1. It has been classified as critical. This affects an unknown part of the file /xds/deleteStudy.php. The manipulation of the argument documentUniqueId leads to sql injection. It is possible to…
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initiate the attack remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-262149 was assigned to this vulnerability.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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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.
Input validation directly stops untrusted data from reaching SQL query construction without neutralization.
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 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.
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.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.
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.
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.
Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.