CVE-2026-105030 in Kener
Summary
by MITRE • 10/03/2026
Kener 4.0.0 before 4.1.6 contains an information disclosure vulnerability that allows unauthenticated attackers to retrieve hidden or inactive monitor data by querying dashboard API handlers lacking visibility filters. Attackers can supply a known or guessed monitor tag to endpoints such as monitor-bar and monitor-latency-chart to obtain names, descriptions, status, uptime history and latency.
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Analysis
by VulDB Data Team • 10/03/2026
The vulnerability identified in Kener versions prior to 4.1.6 represents a critical failure in access control mechanisms within the application's dashboard API handlers. This flaw allows unauthenticated attackers to bypass intended visibility restrictions on monitor data, effectively exposing sensitive operational metrics that should remain hidden or restricted to authorized personnel only. The core technical issue stems from the absence of proper authorization checks and input validation when processing requests directed at specific endpoints such as monitor-bar and monitor-latency-chart. These handlers are designed to serve visualizations for monitoring dashboards but fail to enforce visibility filters based on user roles, session states, or explicit permission grants. Consequently, any entity capable of reaching these API endpoints can retrieve data regardless of whether the associated monitors are currently active, hidden from standard views, or intended for internal use only.
From a technical perspective, this vulnerability is classified under CWE-200: Information Exposure and aligns with MITRE ATT&CK technique T1539: Potential Data Stolen via Web Protocol. The attacker exploits the lack of server-side validation by supplying known or guessed monitor tags to query specific data points including names, descriptions, current status, uptime history, and latency metrics. This capability transforms what might appear as a simple configuration oversight into a significant reconnaissance vector. By systematically querying these endpoints with various tag combinations, an adversary can map out the entire monitoring infrastructure of the target organization without needing valid credentials or prior insider knowledge beyond basic network reachability to the API interface.
The operational impact of this information disclosure is substantial for organizations relying on Kener for system observability and incident response. Exposed uptime history and latency data provide attackers with detailed insights into service availability patterns, peak usage times, and potential performance bottlenecks that could be exploited during denial-of-service attacks or targeted exploitation windows. Furthermore, the exposure of monitor names and descriptions often reveals internal naming conventions, infrastructure topology, and third-party dependencies embedded within those labels. This contextual information significantly reduces the effort required for subsequent attack phases such as privilege escalation, lateral movement, or precise targeting of vulnerable services identified through their monitoring configurations.
Mitigation strategies must prioritize immediate remediation by upgrading to Kener version 4.1.6 or later where these visibility filters have been properly implemented and enforced at the API level. For environments unable to upgrade immediately due to compatibility constraints, network-level controls should be applied to restrict access to dashboard API endpoints exclusively from trusted internal networks or authenticated proxy layers. Additionally, implementing strict rate limiting on unauthenticated requests can help mitigate automated enumeration attacks aimed at discovering valid monitor tags through brute-force techniques. Security teams should also audit existing configurations to ensure no other handlers share similar deficiencies in authorization logic and consider deploying Web Application Firewalls with rules specifically targeting unauthorized access attempts against monitoring-related API paths.