Raw vector
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2023-29154 is a high-severity SQL Injection (CWE-89) vulnerability in Contec Conprosys Hmi System. Its CVSS base score is 7.2 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
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-2023-29154 is a SQL injection vulnerability in the CONPROSYS HMI System (CHS) versions prior to 3.5.3. The flaw resides in the query setting page, where insufficient input validation allows crafted data to be interpreted as SQL commands.
An attacker with administrative access to the affected product can supply malicious input to the query setting page and execute arbitrary SQL statements. Successful exploitation grants full control over the database, enabling impacts rated high for confidentiality, integrity, and availability under the CVSS vector AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H.
Vendor advisories published by CONTEC and coordinated through JVN recommend upgrading to CHS version 3.5.3 or later to address the issue; the referenced security bulletins detail the affected builds and the corrective release.
EPSS for the CVE rose from a low baseline to a peak of 0.1302 before receding to the current value of 0.0356, indicating a period of increased exploitation interest after disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-32756
Vulnerability Data
SQL injection vulnerability exists in the CONPROSYS HMI System (CHS) versions prior to 3.5.3. A user who can access the affected product with an administrative privilege may execute an arbitrary SQL command via specially crafted input to the query setting…
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- 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
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.
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.