CVE-2022-37298
Published: 20 October 2022
Summary
CVE-2022-37298 is a critical-severity Improper Authentication (CWE-287) vulnerability in Shinken-Monitoring Shinken Monitoring. 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.
Deeper analysis
Shinken Monitoring version 2.4.3 is affected by an incorrect access control vulnerability tracked as CVE-2022-37298. The flaw resides in the SafeUnpickler class within shinken/safepickle.py, which applies a weak authentication scheme during deserialization of objects sent from monitoring nodes to the central Shinken server. The issue carries a CVSS 3.1 base score of 9.8 and is categorized under CWE-287.
An unauthenticated attacker with network access can supply malicious serialized objects that bypass the weak checks, resulting in arbitrary code execution or full compromise of the monitoring server with impacts to confidentiality, integrity, and availability. No user interaction or special privileges are required for exploitation.
Public references include a commit that addresses the unsafe unpickling behavior in the Shinken repository, indicating that mitigation involves applying the referenced patch or upgrading to a corrected release. The associated EPSS score has remained at 0.1635 without a documented rise after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-7139
Vulnerability details
Shinken Solutions Shinken Monitoring Version 2.4.3 affected is vulnerable to Incorrect Access Control. The SafeUnpickler class found in shinken/safepickle.py implements a weak authentication scheme when unserializing objects passed from monitoring nodes to the Shinken monitoring server.
- 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.
Detects unauthorized successful logons resulting from improper authentication implementations.
Documented procedures ensure personnel are trained on authentication mechanisms, tangibly lowering the risk of improper authentication being exploited.
Security awareness training instructs users on secure authentication practices and avoiding credential compromise.
Training on authentication mechanisms and best practices decreases the occurrence of improper authentication.
Non-repudiation requires strong authentication mechanisms to irrefutably attribute performed actions to specific individuals or processes.
Session content review can reveal authentication bypasses or failures in session establishment.
Review of authentication-related audit records can detect improper authentication mechanisms or bypasses.
Assessments check authentication mechanisms for correct implementation and effectiveness, reducing successful authentication bypass attempts.