CVE-2026-56453 in DFXAnalytics
Summary
by MITRE • 07/16/2026
HCL DFXAnalytics is affected by an Account Takeover via Response Manipulation vulnerability. A remote attacker can intercept and alter the contents of the server's HTTP responses before they reach the client application, allowing them to manipulate the authentication or authorization logic to bypass controls and gain unauthorized access to targeted user accounts.
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Analysis
by VulDB Data Team • 07/16/2026
The HCL DFXAnalytics platform faces a critical account takeover vulnerability stemming from response manipulation capabilities that enable remote attackers to intercept and alter HTTP responses between server and client. This vulnerability operates at the network level where malicious actors can position themselves in the communication channel to modify server responses before they reach legitimate users. The flaw resides in the application's failure to implement proper response integrity validation mechanisms, creating an opportunity for man-in-the-middle attacks that specifically target authentication and authorization flows within the system.
This vulnerability directly relates to CWE-501 and CWE-345 categories, representing weaknesses in trust verification and response manipulation respectively. The attack vector leverages standard network interception techniques where adversaries can modify HTTP responses containing authentication tokens, session identifiers, or authorization decisions without detection by the client application. The security implications extend beyond simple credential theft as attackers can manipulate response content to bypass multi-factor authentication mechanisms, alter user permissions, or impersonate legitimate users within the analytics platform.
The operational impact of this vulnerability creates significant risk for organizations relying on HCL DFXAnalytics for business intelligence and data analysis operations. Attackers exploiting this weakness can gain unauthorized access to sensitive analytical data, manipulate reporting systems, and potentially disrupt business operations through unauthorized modifications to analytics configurations or data processing workflows. The vulnerability affects the fundamental trust model between client and server components, undermining the integrity of user authentication processes and authorization controls that protect critical business information.
Mitigation strategies should focus on implementing robust response validation mechanisms including HTTP Strict Transport Security headers, proper certificate pinning, and content security policies to prevent response manipulation. Organizations must deploy network monitoring tools capable of detecting anomalous response patterns and implement end-to-end encryption protocols that ensure data integrity throughout the communication channel. Additionally, regular security assessments should validate that authentication responses cannot be manipulated by external parties, while implementing automated session management controls that detect and respond to suspicious authentication behavior patterns consistent with the attack methodology described in the ATT&CK framework under T1566 for credential access and T1071 for application layer protocols.