CVE-2023-2141
Published: 21 April 2023
Summary
CVE-2023-2141 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in 3Ds Delmia Apriso. Its CVSS base score is 8.5 (High).
Operationally, ranked in the top 13.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
An unsafe .NET object deserialization vulnerability, tracked as CVE-2023-2141 and assigned CWE-502, affects DELMIA Apriso releases from 2017 through 2022. The flaw permits post-authentication remote code execution and carries a CVSS 3.1 score of 8.5 reflecting network attack vector, high attack complexity, low required privileges, no user interaction, changed scope, and high impact on confidentiality, integrity, and availability.
An authenticated attacker with low privileges can supply a malicious serialized object over the network to trigger arbitrary code execution on the affected server. Successful exploitation grants the attacker full control of the application process and potentially broader access due to the changed scope.
Advisories published by 3DS at https://www.3ds.com/vulnerability/advisories address the issue and are the primary source for mitigation guidance and any available patches.
EPSS for the CVE rose from a low baseline to a peak of 0.0612 on 2026-04-22 before receding to the current value of 0.0290, indicating that exploitation interest increased after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-33660
Vulnerability details
An unsafe .NET object deserialization in DELMIA Apriso Release 2017 through Release 2022 could lead to post-authentication remote code execution.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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.