Vulnerabilities > CVE-2022-23715 - Information Exposure Through Log Files vulnerability in Elastic Cloud Enterprise
Attack vector
NETWORK Attack complexity
LOW Privileges required
LOW Confidentiality impact
HIGH Integrity impact
NONE Availability impact
NONE Summary
A flaw was discovered in ECE before 3.4.0 that might lead to the disclosure of sensitive information such as user passwords and Elasticsearch keystore settings values in logs such as the audit log or deployment logs in the Logging and Monitoring cluster. The affected APIs are PATCH /api/v1/user and PATCH /deployments/{deployment_id}/elasticsearch/{ref_id}/keystore
Vulnerable Configurations
Common Weakness Enumeration (CWE)
Common Attack Pattern Enumeration and Classification (CAPEC)
- Fuzzing and observing application log data/errors for application mapping An attacker sends random, malformed, or otherwise unexpected messages to a target application and observes the application's log or error messages returned. Fuzzing techniques involve sending random or malformed messages to a target and monitoring the target's response. The attacker does not initially know how a target will respond to individual messages but by attempting a large number of message variants they may find a variant that trigger's desired behavior. In this attack, the purpose of the fuzzing is to observe the application's log and error messages, although fuzzing a target can also sometimes cause the target to enter an unstable state, causing a crash. By observing logs and error messages, the attacker can learn details about the configuration of the target application and might be able to cause the target to disclose sensitive information.