Raw vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HSummary
CVE-2023-27978 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Schneider-Electric Custom Reports. Its CVSS base score is 7.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 7% 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.
A CWE-502 deserialization of untrusted data vulnerability affects the Dashboard module in Schneider Electric IGSS products, specifically IGSS Data Server (IGSSdataServer.exe), IGSS Dashboard (DashBoard.exe), and Custom Reports (RMS16.dll) versions 16.0.0.23040 and earlier. The flaw allows an attacker-supplied payload to be interpreted during deserialization, which can result in remote code execution on the affected system.
An unauthenticated attacker can exploit the issue by convincing a user to open a malicious file, after which arbitrary code executes with the privileges of the victim process. The attack requires local access and user interaction but needs no prior authentication or elevated privileges, producing high impact to confidentiality, integrity, and availability.
Schneider Electric published security notice SEVD-2023-073-04 that addresses the affected IGSS components and provides remediation guidance.
The EPSS score rose from a low baseline to a peak of 0.1495 on 2025-12-11 before receding to the current value of 0.0390, indicating that exploitation interest increased after public disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-31704
Vulnerability Data
A CWE-502: Deserialization of Untrusted Data vulnerability exists in the Dashboard module that could cause an interpretation of malicious payload data, potentially leading to remote code execution when an attacker gets the user to open a malicious file. Affected Products:…
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IGSS Data Server(IGSSdataServer.exe)(V16.0.0.23040 and prior), IGSS Dashboard(DashBoard.exe)(V16.0.0.23040 and prior), Custom Reports(RMS16.dll)(V16.0.0.23040 and prior).
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
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Affected Assets
Mitigating Controls
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.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.
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.