CVE-2017-7239 in Ninka
Summary
by MITRE
Ninka before 1.3.2 might allow remote attackers to obtain sensitive information, manipulate license compliance scan results, or cause a denial of service (process hang) via a crafted filename.
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Analysis
by VulDB Data Team • 11/28/2022
The vulnerability identified as CVE-2017-7239 affects Ninka versions prior to 1.3.2 and represents a critical security flaw that could enable remote attackers to exploit multiple attack vectors through manipulation of filename inputs. This issue stems from insufficient input validation and sanitization within the application's file processing mechanisms, creating opportunities for adversaries to craft malicious filenames that trigger unintended behavior.
The technical implementation of this vulnerability involves improper handling of specially crafted filenames that can cause the application to process files in unexpected ways. When a malicious filename is submitted, the system fails to properly validate or sanitize the input before processing, leading to potential information disclosure through sensitive data exposure during file analysis operations. The flaw also enables attackers to manipulate license compliance scan results by exploiting how the application interprets certain filename patterns, potentially allowing bypass of compliance checks or false reporting of license violations.
From an operational impact perspective, this vulnerability creates significant risks for organizations relying on Ninka for software license compliance monitoring and security scanning. The potential for remote information disclosure means that attackers could gain access to sensitive data that would normally be protected within the scanning environment, while the license manipulation capability could allow malicious actors to circumvent compliance requirements or create false positive/negative results in license audits. Additionally, the denial of service vulnerability presents a risk of process hanging, which could disrupt legitimate scanning operations and potentially cause system unavailability.
The vulnerability aligns with CWE-20, which describes improper input validation, and represents a classic example of how inadequate sanitization of user inputs can create multiple attack vectors within a single flaw. From an ATT&CK framework perspective, this vulnerability could be leveraged for initial access through information gathering, privilege escalation via license manipulation, and persistence through denial of service attacks that disrupt legitimate operations. Organizations should consider implementing network segmentation to limit access to the vulnerable application, applying the available patch to version 1.3.2 or later, and implementing additional input validation measures at the network level to prevent exploitation attempts. Regular security assessments should also be conducted to identify similar input validation issues in other applications within the organization's attack surface.