CVE-2023-30262
Published: 09 June 2023
Summary
CVE-2023-30262 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Mimsoftware Mim Concurrent License Server. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 6.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2023-30262 is a deserialization vulnerability (CWE-502) affecting MIM Software Inc. MIM License Server and MIMpacs services versions 6.9 through 7.0. The flaw resides in the RMI Registry service and permits remote code execution; it was corrected in version 7.0.10. The issue carries a CVSS 3.1 base score of 8.8 with an attack vector of adjacent network, low attack complexity, and no required privileges or user interaction.
An unauthenticated attacker positioned on the same network segment can supply a malicious serialized object to the RMI Registry, resulting in arbitrary code execution with full impact to confidentiality, integrity, and availability on the affected host.
Vendor references direct users to MIM Software’s advisory page for CVE-2023-30262 and recommend upgrading to the fixed release 7.0.10. The associated EPSS score has remained flat at 0.1176 with no material increase since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-34685
Vulnerability details
An issue found in MIM software Inc MIM License Server and MIMpacs services v.6.9 thru v.7.0 fixed in v.7.0.10 allows a remote unauthenticated attacker to execute arbitrary code via the RMI Registry service.
- 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.