CVE-2024-3301
Published: 30 May 2024
Summary
CVE-2024-3301 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in 3Ds (inferred from references). Its CVSS base score is 8.5 (High).
Operationally, ranked in the top 7.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2024-3301 is an unsafe .NET object deserialization vulnerability, tracked under CWE-502, that affects DELMIA Apriso releases from 2019 through 2024. The flaw carries a CVSS 3.1 score of 8.5 and can result in post-authentication remote code execution.
An attacker with low-privileged network access can supply a malicious serialized object to the affected component. Successful exploitation, which requires high attack complexity, allows arbitrary code execution with full impact on confidentiality, integrity, and availability and with changed scope.
Vendor advisories published by 3DS at https://www.3ds.com/vulnerability/advisories address the issue and provide guidance on available patches or mitigations for supported releases.
The associated EPSS score reached a peak of 0.1177 and currently stands at 0.0953 with no indication of widespread in-the-wild exploitation.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-31891
Vulnerability details
An unsafe .NET object deserialization vulnerability in DELMIA Apriso Release 2019 through Release 2024 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.