CVE-2016-9700 in Jazz Foundation
Summary
by MITRE
IBM Jazz Foundation could allow an authenticated attacker to obtain sensitive information from error message stack traces. IBM X-Force ID: 119528.
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Analysis
by VulDB Data Team • 12/30/2020
The vulnerability identified as CVE-2016-9700 resides within IBM Jazz Foundation, a collaborative software development platform that facilitates team-based development and project management. This security flaw represents a classic information disclosure vulnerability that occurs when the system inadvertently exposes sensitive data through error message stack traces. The issue specifically affects authenticated users who can leverage their valid credentials to trigger error conditions that reveal internal system information. Such vulnerabilities fall under the category of CWE-209, which describes "Information Exposure Through an Error Message" and is commonly exploited by attackers to gather intelligence about the target system architecture and implementation details.
The technical implementation of this vulnerability stems from insufficient error handling mechanisms within the IBM Jazz Foundation framework. When legitimate operations fail or encounter unexpected conditions, the system generates stack trace information that includes detailed internal paths, component names, and potentially sensitive system configurations. This behavior occurs even when the error conditions are triggered by authenticated users who should have restricted access to such information. The flaw demonstrates a lack of proper input validation and error sanitization that allows attackers to extract information about the underlying system infrastructure, including file paths, database connection details, and potentially other sensitive operational parameters. From an attack perspective, this vulnerability aligns with ATT&CK technique T1083, which involves discovering system information through error messages and stack traces.
The operational impact of this vulnerability extends beyond simple information disclosure, as it provides attackers with valuable reconnaissance data that can be used to plan more sophisticated attacks. An authenticated attacker who can trigger these error conditions gains access to detailed system information that could reveal the presence of other vulnerabilities, system configurations, and architectural patterns. This information can significantly reduce the time and effort required for subsequent exploitation phases, as attackers can tailor their approaches based on the disclosed system details. The vulnerability affects the confidentiality aspect of the CIA triad by exposing sensitive operational data that should remain protected within the system boundaries. Organizations using IBM Jazz Foundation may find their development environments and project management systems more susceptible to targeted attacks that exploit the additional information gained through this vulnerability.
Mitigation strategies for CVE-2016-9700 should focus on implementing robust error handling and sanitization mechanisms throughout the application framework. Organizations should ensure that all error messages are properly sanitized before display, removing or obfuscating any sensitive information that might be present in stack traces. This includes implementing centralized error handling routines that log detailed technical information internally while presenting generic error messages to end users. The remediation process should also involve reviewing and updating the application's logging mechanisms to prevent sensitive data exposure in error conditions. Additionally, implementing proper access controls and monitoring for unusual error generation patterns can help detect potential exploitation attempts. Organizations should consider applying the relevant IBM security patches and updates that address this specific vulnerability, as these fixes typically include enhanced error handling and information sanitization measures. The mitigation approach should also encompass regular security testing and code reviews to identify similar vulnerabilities in other components of the system that might exhibit similar error handling behaviors.