CVE-2025-1640
SQLi in Modernasistemas Modernanet ≤ 1.1.1
Raw vector
CVSS: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:X/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:XCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2025-1640 is a medium-severity Injection (CWE-74) vulnerability in Modernasistemas Modernanet. Its CVSS base score is 6.9 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 47th 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-2025-1640 is a critical SQL injection vulnerability (CWE-74, CWE-89) in Benner ModernaNet versions up to 1.1.0. The flaw affects an unknown functionality within the endpoint /Home/JS_CarregaCombo?formName=DADOS_PESSOAIS_PLANO&additionalCondition=&insideParameters=&elementToReturn=DADOS_PESSOAIS_PLANO&ordenarPelaDescricao=true&direcaoOrdenacao=asc&_=1739290047295, where manipulation of parameters enables SQL injection.
Attackers can exploit this vulnerability remotely without authentication or user interaction, given its low attack complexity as indicated by the CVSS 3.1 base score of 7.3 (AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L). Successful exploitation grants limited access to confidential data, moderate integrity disruption, and low availability impact on the affected system.
Advisories recommend upgrading to Benner ModernaNet version 1.1.1 to remediate the issue. Further details are documented in VulDB entries and a related GitHub repository tracking the CVE.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-4259
Vulnerability Data
A vulnerability was found in Benner ModernaNet up to 1.1.0 and classified as critical. Affected by this issue is some unknown functionality of the file /Home/JS_CarregaCombo?formName=DADOS_PESSOAIS_PLANO&additionalCondition=&insideParameters=&elementToReturn=DADOS_PESSOAIS_PLANO&ordenarPelaDescricao=true&direcaoOrdenacao=asc&_=1739290047295. The manipulation leads to sql injection. The attack may be launched remotely. Upgrading to…
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version 1.1.1 is able to address this issue. It is recommended to upgrade the affected component.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.2.1V1.2.3V1.2.5V1.2.8
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.
Secure SDLC practices directly require input validation and output encoding that prevent injection flaws.
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.
Security testing in development catches injection vulnerabilities before release.
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.
Logging supports detection of injection attempts but does not prevent the weakness.
Monitoring activities can identify active injection attacks after they occur.
Secure development life cycle mandates input validation and output encoding that directly prevent injection flaws.