CVE-2016-8936 in Social Rendering Templates for Digital Data Connectorinfo

Summary

by MITRE

IBM Social Rendering Templates for Digital Data Connector is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session.

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Analysis

by VulDB Data Team • 08/09/2020

The vulnerability identified as CVE-2016-8936 affects IBM Social Rendering Templates for Digital Data Connector, a component designed to facilitate the integration and presentation of digital data within social environments. This particular flaw represents a critical cross-site scripting vulnerability that undermines the security assurances typically expected from enterprise-grade data integration platforms. The vulnerability exists within the web user interface rendering mechanisms that process and display data from digital connectors, creating an attack surface where malicious actors can manipulate the intended functionality of the application.

The technical implementation of this vulnerability stems from insufficient input validation and output encoding within the template rendering system. When the Digital Data Connector processes data for display in the web interface, it fails to properly sanitize user-supplied input before incorporating it into the rendered HTML output. This allows attackers to inject malicious JavaScript code through carefully crafted data inputs that are then executed within the context of authenticated user sessions. The vulnerability specifically manifests when the system processes template variables or data fields that contain unescaped content, enabling the execution of arbitrary script code in the victim's browser.

The operational impact of this vulnerability extends beyond simple script execution, as it provides attackers with the capability to hijack user sessions and access sensitive information within trusted environments. When an authenticated user interacts with the compromised system, the injected JavaScript code can capture session cookies, credentials, or other sensitive data that the user might be handling within the application. This creates a significant risk for organizations relying on the Digital Data Connector for data integration, as attackers can exploit this weakness to gain unauthorized access to systems and data that would normally be protected by the user's authentication credentials. The vulnerability essentially allows for privilege escalation within the context of existing user sessions, making it particularly dangerous for enterprise environments where users may have elevated access rights.

Organizations should implement comprehensive mitigation strategies to address this vulnerability, beginning with immediate patching of affected systems to ensure the latest security updates from IBM are applied. Network segmentation and monitoring should be enhanced to detect suspicious data injection patterns that might indicate exploitation attempts. Input validation mechanisms should be strengthened at multiple layers including application-level sanitization and output encoding to prevent the injection of malicious content. The implementation of content security policies and strict header configurations can provide additional protection against script execution. From a compliance perspective, this vulnerability aligns with CWE-79 which specifically addresses cross-site scripting flaws, and it maps to attack techniques within the ATT&CK framework under T1059.007 for scripting and T1531 for credential access, highlighting the multi-faceted nature of the threat. Organizations should also consider implementing automated security scanning tools to identify similar vulnerabilities across their digital infrastructure and establish incident response procedures specifically designed to address session hijacking and credential theft scenarios.

Reservation

10/25/2016

Disclosure

02/01/2017

Moderation

accepted

Entry

VDB-96473

CPE

ready

EPSS

0.00224

KEV

no

Activities

very low

Sources

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