CVE-2021-37181
Published: 14 September 2021
Summary
CVE-2021-37181 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Siemens Cerberus Dms. Its CVSS base score is 10.0 (Critical).
Operationally, ranked in the top 21.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2021-23755
Vulnerability details
A vulnerability has been identified in Cerberus DMS V4.0 (All versions), Cerberus DMS V4.1 (All versions), Cerberus DMS V4.2 (All versions), Cerberus DMS V5.0 (All versions < v5.0 QU1), Desigo CC Compact V4.0 (All versions), Desigo CC Compact V4.1 (All…
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versions), Desigo CC Compact V4.2 (All versions), Desigo CC Compact V5.0 (All versions < V5.0 QU1), Desigo CC V4.0 (All versions), Desigo CC V4.1 (All versions), Desigo CC V4.2 (All versions), Desigo CC V5.0 (All versions < V5.0 QU1). The application deserialises untrusted data without sufficient validations, that could result in an arbitrary deserialization. This could allow an unauthenticated attacker to execute code in the affected system. The CCOM communication component used for Windows App / Click-Once and IE Web / XBAP client connectivity are affected by the vulnerability.
- 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.