Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:NSummary
CVE-2025-43713 is a medium-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Asna (inferred from references). Its CVSS base score is 6.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 33th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
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.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-19879
Vulnerability Data
ASNA Assist and ASNA Registrar before 2025-03-31 allow deserialization attacks against .NET remoting. These are Windows system services that support license key management and deprecated Windows network authentication. The services are implemented with .NET remoting and can be exploited via…
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well-known deserialization techniques inherent in the technology. Because the services run with SYSTEM-level rights, exploits can be crafted to achieve escalation of privilege and arbitrary code execution. This affects DataGate for SQL Server 17.0.36.0 and 16.0.89.0, DataGate Component Suite 17.0.36.0 and 16.0.89.0, DataGate Monitor 17.0.26.0 and 16.0.65.0, DataGate WebPak 17.0.37.0 and 16.0.90.0, Monarch for .NET 11.4.50.0 and 10.0.62.0, Encore RPG 4.1.36.0, Visual RPG .NET FW 17.0.37.0 and 16.0.90.0, Visual RPG .NET FW Windows Deployment 17.0.36.0 and 16.0.89.0, WingsRPG 11.0.38.0 and 10.0.95.0, Mobile RPG 11.0.35.0 and 10.0.94.0, Monarch Framework for .NET FW 11.0.36.0 and 10.0.89.0, Browser Terminal 17.0.37.0 and 16.0.90.0, Visual RPG Classic 5.2.7.0 and 5.1.17.0, Visual RPG Deployment 5.2.7.0 and 5.1.17.0, and DataGate Studio 17.0.38.0 and 16.0.104.0.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can uncover deserialization flaws before deployment.
Input validation directly stops deserialization of untrusted data by ensuring inputs are valid before processing.
Engineering principles such as safe deserialization and input sanitization structurally prevent the weakness from being introduced.
Integrity verification tools can detect malformed or tampered serialized data after the fact.
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-02 addresses only post-deployment updates/patching and cannot prevent introduction of unsafe deserialization code, yet it can remediate some instances when the flaw exists in outdated libraries or components.
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 includes validation of deserialization routines and the use of untrusted data, reducing the likelihood that unsafe object reconstruction will be deployed.
Requiring vetted libraries, regular updates and SAST before release reduces the likelihood that deserialization logic will accept and act on attacker-controlled serialized objects.
Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.
Mandatory malware scanning of data received over networks or storage media intercepts malicious serialized payloads before they are deserialized by the target application.