Description

CyberPanel before 2.4.4 attempts to detect an "alais" domain (i.e., a second domain that serves the same content as a primary domain; normally spelled "alias") via an ORM query filter rather than a Python "if" statement.

Executive Summary

Technical Details

Mitigations

References

Additional Metadata

{
  "score": "7.7",
  "pubDate": "2026-09-13T20:16:51.020Z",
  "pubdate": "2026-09-13T20:16:51.020Z",
  "executiveSummary": "CyberPanel versions prior to 2.4.4 contain a vulnerability related to the improper implementation of domain alias verification. The application incorrectly utilizes an ORM-based query filter to identify 'alais' (alias) domains instead of utilizing secure server-side conditional logic. This architectural oversight exposes the application to logic manipulation risks within its domain management subsystem. The vulnerability type is categorized as an improper input handling and logic flaw. Successful exploitation allows unauthorized manipulation or bypass of domain alias configurations, potentially leading to unauthorized cross-site content serving, cache poisoning, or logical domain hijacking. The flaw affects all CyberPanel installations prior to the 2.4.4 release. Risk implications include the compromise of domain mapping integrity, which could be leveraged by authenticated users or malicious actors to intercept traffic or mislead end-users regarding site authenticity. No specific authentication bypass is required to reach the vulnerable code path if the underlying management interface is accessible; however, exploitation primarily targets the internal logic of the ORM query process.",
  "technicalDetails": "The root cause of this vulnerability lies in the improper utilization of the Object-Relational Mapping (ORM) layer to perform validation logic that should ideally be handled via immutable server-side Python control flow statements. Specifically, CyberPanel's implementation for detecting 'alais' domains relies on a database query filter rather than a strongly-typed conditional validation step. By forcing the application to evaluate alias existence through an ORM query, the system introduces a dependency on the integrity of the data returned by the database layer, which may be subject to manipulation if underlying database constraints or query parameters are improperly handled.\nThe exploitation flow begins when a user or administrative process submits a request to manage or define a domain alias. Because the logic is handled at the ORM level, an attacker might influence the generated SQL or ORM filter by injecting unexpected parameters into the alias detection routine. Since the application fails to validate the input using a Python 'if' statement—which would enforce strict, hard-coded validation rules before database interaction—the application effectively delegates its security boundary to the persistence layer.\nIn a typical attack scenario, an attacker could supply malformed input targeting the 'alais' parameter. The ORM query, lacking the granular inspection of a conditional gate, may return unexpected objects or incorrectly evaluate the presence of an alias, leading the system to commit incorrect domain mapping records to the configuration file or the database. This allows for the illegitimate association of a secondary domain with a primary domain's content, facilitating unauthorized content delivery.\nThe vulnerable component is the domain configuration management module within CyberPanel. Since the logic is executed on the server side, it is accessible to any user with sufficient privileges to trigger domain operations. The absence of a pre-query validation step in Python allows for the bypassing of intended business logic constraints. The post-exploitation impact includes the potential for host header injection, unauthorized redirection of traffic, and the subversion of site isolation boundaries, ultimately impacting the security posture of the web server configuration managed by the CyberPanel software suite."
}