CVE-2026-49204 in Connect M6E 5G Portable WiFi Router
Summary
by MITRE • 06/04/2026
Leftover debug modules contain fixed credentials for internal AWS Cognito test sandboxes, risking asset exploitation.
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Analysis
by VulDB Data Team • 06/04/2026
This vulnerability represents a classic case of insecure credential management in cloud environments where debug modules contain hardcoded authentication credentials for internal aws cognito test sandboxes. The presence of fixed credentials within leftover debug code creates a significant attack surface that violates fundamental security principles outlined in cwe-798, which specifically addresses the use of hard-coded credentials. These credentials typically remain unchanged across environments and are often not properly secured or rotated, creating persistent access points for malicious actors who discover such exposed authentication mechanisms. The operational impact extends beyond simple credential theft, as these fixed credentials can provide unauthorized access to sensitive user data, authentication tokens, and potentially enable further lateral movement within the aws infrastructure. When debug modules persist in production environments, they represent a direct violation of the principle of least privilege and create opportunities for attackers to escalate their access privileges through credential reuse attacks. The vulnerability aligns with several attack techniques documented in the attack framework, particularly those related to credential access and privilege escalation. Organizations may inadvertently expose these credentials during software releases, deployment processes, or when legacy code is not properly sanitized before production deployment. The risk is exacerbated by the fact that aws cognito credentials provide access to identity pools and authentication services, potentially allowing attackers to impersonate legitimate users or gain access to protected resources within the aws environment. This type of vulnerability commonly occurs in development-to-production deployment pipelines where security testing and code review processes fail to identify and remove debug code containing hardcoded credentials. The persistence of these credentials in production systems represents a critical gap in security hygiene and demonstrates poor configuration management practices that violate industry standards such as those outlined in nist 800-53 and iso 27001. Organizations should implement automated code scanning tools that can detect hardcoded credentials and ensure proper credential management practices including the use of aws secrets manager or parameter store for credential storage. The remediation process requires comprehensive code audits to identify and remove all debug modules containing hardcoded credentials, followed by implementation of proper credential rotation procedures and access control mechanisms to prevent unauthorized access to aws resources.