CVE-2026-35142 in DFXAnalytics
Summary
by MITRE • 07/16/2026
HCL DFXAnalytics is affected by an Internal IP Address Disclosure vulnerability. The application includes internal IP address details within its generated server responses, which could allow a remote attacker to gather sensitive network topology information and use it to map the internal infrastructure for further targeted attacks.
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Analysis
by VulDB Data Team • 07/16/2026
The HCL DFXAnalytics application presents a significant security weakness through its exposure of internal IP addresses within server responses, creating an avenue for remote attackers to acquire critical network topology information. This vulnerability fundamentally compromises the principle of defense in depth by inadvertently revealing architectural details that should remain hidden from external entities. The disclosure occurs during normal application operation when server responses contain internal IP address information, effectively providing threat actors with direct visibility into the internal network structure without requiring sophisticated reconnaissance techniques.
This flaw represents a classic example of information disclosure vulnerability that aligns with CWE-200, which specifically addresses the exposure of sensitive information to unauthorized actors. The vulnerability operates at the application layer where responses contain internal system details that should only be accessible through legitimate internal network connections. The technical implementation appears to involve insufficient input validation and output filtering mechanisms within the DFXAnalytics framework, allowing internal network addressing information to leak into HTTP response payloads. This type of exposure enables attackers to map internal network segments, identify server locations, and potentially determine system configurations that could inform subsequent attack vectors.
The operational impact of this vulnerability extends beyond simple information disclosure to enable sophisticated reconnaissance activities that could lead to more severe consequences. Remote attackers can utilize the disclosed IP addresses to conduct targeted scanning operations against internal systems, potentially identifying additional vulnerable endpoints within the network infrastructure. The exposure creates opportunities for attackers to perform network mapping exercises that reveal internal architecture details including subnet ranges, server locations, and potential attack surface areas. This information leakage significantly reduces the operational security posture of organizations relying on DFXAnalytics, as it provides adversaries with pre-existing knowledge about internal network topology.
From an ATT&CK framework perspective, this vulnerability directly maps to technique T1083 (File and Directory Discovery) and T1592 (Gather Victim Network Information), enabling attackers to collect network infrastructure details that inform later stages of the attack lifecycle. The disclosure creates opportunities for lateral movement within networks, as attackers can use the revealed IP addresses to identify potential targets for further exploitation. Organizations may experience cascading security implications where this initial information leak enables more sophisticated attacks such as credential harvesting, privilege escalation attempts, or direct exploitation of internal services that are normally protected by network segmentation.
Organizations should implement immediate mitigations including input validation controls and output filtering mechanisms to prevent internal IP address exposure in server responses. The solution involves configuring the DFXAnalytics application to sanitize response content and remove any internal addressing information before transmission to external clients. Network-level protections such as firewalls and access control lists can help limit exposure, while application-level security measures should enforce strict output formatting rules that prevent sensitive information leakage. Regular security assessments and penetration testing should be conducted to verify that no additional information disclosure vulnerabilities exist within the application framework, ensuring comprehensive protection against similar threats that could compromise internal network visibility and operational security.