CVE-2024-23636
Published: 23 January 2024
Summary
CVE-2024-23636 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Sofastack Sofarpc. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 23.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-0286
Vulnerability details
SOFARPC is a Java RPC framework. SOFARPC defaults to using the SOFA Hessian protocol to deserialize received data, while the SOFA Hessian protocol uses a blacklist mechanism to restrict deserialization of potentially dangerous classes for security protection. But, prior to…
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version 5.12.0, there is a gadget chain that can bypass the SOFA Hessian blacklist protection mechanism, and this gadget chain only relies on JDK and does not rely on any third-party components. Version 5.12.0 fixed this issue by adding a blacklist. SOFARPC also provides a way to add additional blacklists. Users can add a class like `-Drpc_serialize_blacklist_override=org.apache.xpath.` to avoid this issue.
- 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.