CVE-2022-29805
Published: 19 August 2022
Summary
CVE-2022-29805 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Fishbowlinventory Fishbowl. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 7.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
A Java Deserialization vulnerability exists in the Fishbowl Server component of Fishbowl Inventory versions prior to 2022.4.1. The flaw, tracked as CWE-502, allows processing of untrusted data and is reflected in a CVSS 3.1 score of 9.8 for network-accessible, unauthenticated exploitation that can impact confidentiality, integrity, and availability.
Remote attackers can send a crafted XML payload directly to the server to execute arbitrary code, with no credentials or user interaction required. Successful exploitation grants full control over the affected Fishbowl Inventory instance.
The vendor released version 2022.4.1 to address the issue. Public references from Fishbowl Inventory and a White Oak Security disclosure analysis provide additional context on the affected component and the deserialization vector. The associated EPSS score has remained flat at 0.0887 with no material increase after publication.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-34126
Vulnerability details
A Java Deserialization vulnerability in the Fishbowl Server in Fishbowl Inventory before 2022.4.1 allows remote attackers to execute arbitrary code via a crafted XML payload.
- 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.