CVE-2026-63769 in Huginn
Summary
by MITRE • 07/20/2026
Huginn through 2022.08.18 contains a server-side request forgery vulnerability in the fetch_url method of ScenarioImport that allows authenticated users to make arbitrary HTTP requests by submitting crafted URLs. Attackers can probe internal network services, enumerate ports via error signatures, and access cloud metadata endpoints to retrieve sensitive credentials.
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Analysis
by VulDB Data Team • 07/20/2026
The Huginn application through version 2022.08.18 contains a critical server-side request forgery vulnerability that resides within the fetch_url method of ScenarioImport functionality. This flaw represents a direct violation of secure coding principles and demonstrates a dangerous lack of input validation and sanitization in the application's request handling mechanisms. The vulnerability specifically affects authenticated users who can leverage this weakness to submit maliciously crafted URLs through the scenario import process, creating a pathway for unauthorized network reconnaissance and data exfiltration.
The technical implementation of this vulnerability stems from insufficient validation of user-supplied URLs within the fetch_url method, which operates as a core component in Huginn's scenario import functionality. When authenticated users submit scenarios containing crafted URLs, the application fails to properly sanitize or validate these inputs before processing them through HTTP requests. This weakness creates an environment where attackers can manipulate the application's behavior to make arbitrary HTTP requests on behalf of the system, effectively bypassing normal network security controls and access restrictions that would typically protect internal services.
The operational impact of this vulnerability extends far beyond simple network probing capabilities, as it enables comprehensive internal network enumeration and sensitive data extraction. Attackers can leverage the vulnerability to conduct port scanning operations by analyzing error responses from different service endpoints, allowing them to map internal network topology and identify potentially vulnerable systems. More critically, the vulnerability permits access to cloud metadata endpoints such as AWS Instance Metadata Service or similar provider-specific services that contain sensitive credential information including API keys, access tokens, and instance identification details. This capability transforms a simple network reconnaissance tool into a sophisticated attack vector for credential harvesting.
Security practitioners should recognize this vulnerability as aligning with common weakness enumerations such as CWE-918, which addresses server-side request forgery vulnerabilities, and CWE-20, which covers insufficient input validation. The attack patterns associated with this flaw correspond to techniques described in the MITRE ATT&CK framework under T1046 for network service scanning and T1531 for credential access through cloud metadata services. Organizations utilizing Huginn should implement immediate mitigations including input validation enforcement, URL whitelisting mechanisms, and network segmentation controls to prevent unauthorized internal network access.
The recommended mitigation strategy involves implementing comprehensive input validation that rejects suspicious URL patterns and implements strict domain whitelisting for external requests. Organizations should also deploy network-level restrictions that prevent outbound connections from the Huginn application to internal network services and cloud metadata endpoints. Additionally, privilege separation techniques should be implemented to ensure that the application operates with minimal necessary permissions and that authenticated user sessions cannot escalate to administrative privileges within the application's environment. These controls together provide defense-in-depth protection against exploitation attempts targeting this server-side request forgery vulnerability while maintaining operational functionality of the legitimate application features.