CVE-2023-0925
Published: 06 September 2023
Summary
CVE-2023-0925 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Softwareag Webmethods. Its CVSS base score is 9.8 (Critical).
Operationally, ranked at the 48.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-12912
Vulnerability details
Version 10.11 of webMethods OneData runs an embedded instance of Azul Zulu Java 11.0.15 which hosts a Java RMI registry (listening on TCP port 2099 by default) and two RMI interfaces (listening on a single, dynamically assigned TCP high port).…
more
Port 2099 serves as a Java Remote Method Invocation (RMI) registry which allows for remotely loading and processing data via RMI interfaces. An unauthenticated attacker with network connectivity to the RMI registry and RMI interface ports can abuse this functionality to instruct the webMethods OneData application to load a malicious serialized Java object as a parameter to one of the available Java methods presented by the RMI interface. Once deserialized on the vulnerable server, the malicious code runs as whichever operating system account is used to run the software, which in most cases is the local System account on Windows.
- 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.