CVE-2026-107606 in SWIFI-SE2KIC
Summary
by MITRE • 10/13/2026
SWIFI-SE2KIC firmware versions 2.0.22 and prior are vulnerable to a Missing Authentication for Critical Function vulnerability that could allow an attacker on the local network to retrieve a snapshot of the live feed without authentication.
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Analysis
by VulDB Data Team • 10/13/2026
The SWIFI SE2KIC smart camera, specifically in firmware versions 2.0.22 and earlier, contains a critical security flaw classified as Missing Authentication for Critical Function. This vulnerability stems from an improper implementation of access control mechanisms within the device's web interface or API endpoints responsible for handling video streaming requests. In a properly secured IoT environment, any request to retrieve sensitive data such as live surveillance footage must be preceded by valid authentication credentials that verify the identity and permissions of the requesting user. However, in this specific firmware version, the endpoint serving the live feed snapshot fails to enforce these mandatory checks, allowing unauthenticated access from any entity capable of reaching the device on the local network segment.
From a technical perspective, this flaw represents a classic case of broken object level authorization or missing function-level authentication depending on how the application architecture is structured. The server processes requests for video snapshots without validating session tokens, cookies, or other forms of identity verification typically required by the system's security policy. This oversight allows an attacker who has established connectivity with the target device to issue HTTP GET requests directly to the relevant API endpoint or URL path associated with the live feed. Since no authentication barrier exists at this entry point, the server responds with the requested video data, effectively bypassing all intended access controls designed to protect user privacy and system integrity.
The operational impact of this vulnerability is severe due to the nature of the exposed asset. Smart cameras are often deployed in private spaces such as homes, offices, or restricted facilities where users expect a high degree of confidentiality. An attacker exploiting this flaw can silently capture real-time video snapshots without triggering alarms or leaving obvious traces that would indicate unauthorized access attempts. This capability facilitates significant privacy violations and potential surveillance abuse. Furthermore, because the attack requires only local network connectivity, it is relatively easy to execute for any malicious actor within range of the Wi-Fi network hosting the device, such as a neighbor with weak encryption on their own router or an insider threat within a corporate environment.
This vulnerability aligns closely with Common Weakness Enumeration (CWE) ID 306, which describes Missing Authentication for Critical Function, and CWE-287 regarding Improper Authentication. In terms of the MITRE ATT&CK framework for IoT devices, this behavior corresponds to techniques involving unauthorized access to device functions or data exfiltration through unauthenticated API endpoints. The lack of authentication also implies a failure in adhering to fundamental security principles outlined in standards such as OWASP Internet of Things Top Ten, specifically those related to insecure default configurations and insufficient privacy controls.
To mitigate this risk, users should immediately update the firmware on their SWIFI SE2KIC devices to version 2.0.23 or any later release where the vendor has patched this authentication bypass. If updating is not immediately feasible, network segmentation strategies can provide a temporary layer of defense by isolating IoT devices into separate VLANs that restrict access from general user workstations and external networks. Additionally, enabling WPA3 encryption on the Wi-Fi network adds an extra barrier against unauthorized local connectivity attempts. Security administrators should also monitor for unusual outbound traffic patterns or unexpected API calls originating from these cameras to detect potential exploitation in real-time until patches are fully deployed across all affected endpoints.