CVE-2022-43019
Published: 19 October 2022
Summary
CVE-2022-43019 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Opencats Opencats. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 5.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
OpenCATS version 0.9.6 contains a remote code execution vulnerability in the getDataGridPager ajax functionality that arises from unsafe handling of serialized data. The flaw is tracked as CWE-502 and carries a CVSS 3.1 score of 9.8, reflecting that it is exploitable over the network without credentials or user interaction.
An unauthenticated attacker can submit a crafted request to the affected ajax endpoint, causing the application to deserialize attacker-controlled input and execute arbitrary code on the server. Successful exploitation yields full read, write, and delete access to the application and its underlying system.
Public proof-of-concept code demonstrating the deserialization path has been released on GitHub. The associated EPSS score has remained flat at 0.1635 since publication, indicating steady but not sharply rising exploitation interest.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-46068
Vulnerability details
OpenCATS v0.9.6 was discovered to contain a remote code execution (RCE) vulnerability via the getDataGridPager's ajax functionality.
- 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.