CVE-2022-24846
Published: 14 April 2022
Summary
CVE-2022-24846 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Geoserver Geowebcache. Its CVSS base score is 9.1 (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-2022-29628
Vulnerability details
GeoWebCache is a tile caching server implemented in Java. The GeoWebCache disk quota mechanism can perform an unchecked JNDI lookup, which in turn can be used to perform class deserialization and result in arbitrary code execution. While in GeoWebCache the…
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JNDI strings are provided via local configuration file, in GeoServer a user interface is provided to perform the same, that can be accessed remotely, and requires admin-level login to be used. These lookup are unrestricted in scope and can lead to code execution. The lookups are going to be restricted in GeoWebCache 1.21.0, 1.20.2, 1.19.3.
- 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.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
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.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.