CVE-2018-17201 in Sanselan
Summary
by MITRE
Certain input files could make the code hang when Apache Sanselan 0.97-incubator was used to parse them, which could be used in a DoS attack. Note that Apache Sanselan (incubating) was renamed to Apache Commons Imaging.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Analysis
by VulDB Data Team • 06/07/2020
The vulnerability identified as CVE-2018-17201 affects Apache Sanselan version 0.97-incubator, which was later renamed to Apache Commons Imaging, presenting a significant denial of service risk through infinite loop conditions during image file parsing operations. This flaw manifests when specific malformed input files are processed by the library, causing the parsing code to enter an indefinite loop state where execution becomes stuck and unresponsive. The vulnerability represents a classic example of insufficient input validation and lacks proper loop termination conditions in the parsing logic, making it particularly dangerous in environments where automated image processing is performed.
The technical implementation of this vulnerability stems from inadequate boundary checking and loop control mechanisms within the image parsing routines of Apache Sanselan. When the library encounters malformed image data structures, particularly in formats such as jpeg or tiff files, the parsing algorithms fail to properly validate input parameters and terminate loops appropriately. This results in the code executing the same operations repeatedly without making forward progress, effectively consuming system resources and rendering the application unresponsive. The flaw aligns with CWE-835, which specifically addresses the issue of infinite loops in software implementations, and represents a direct violation of secure coding practices that mandate proper input sanitization and loop termination conditions.
From an operational perspective, this vulnerability creates substantial risk for systems that rely on Apache Sanselan for image processing tasks, particularly web applications, content management systems, and automated file handling services. Attackers can exploit this weakness by uploading specifically crafted malicious image files that trigger the infinite loop condition, causing denial of service against the target system. The impact extends beyond simple service disruption as the hanging processes consume memory and cpu resources, potentially leading to system instability or complete service exhaustion. This vulnerability is particularly concerning in cloud environments and multi-tenant systems where a single malicious file could impact multiple users or applications sharing the same infrastructure.
The remediation strategy for CVE-2018-17201 involves immediate migration to Apache Commons Imaging version 1.0 or later, where the parsing logic has been significantly improved with proper input validation and loop termination mechanisms. Organizations should implement comprehensive input sanitization procedures and consider deploying additional monitoring and resource limiting measures to detect and prevent exploitation attempts. Security teams should also establish automated testing protocols to validate image file parsing behavior against known malicious inputs and ensure that all image processing components maintain proper resource utilization limits. The vulnerability demonstrates the critical importance of maintaining up-to-date libraries and implementing proper security controls around file processing operations, aligning with ATT&CK technique T1499.001 for resource exhaustion attacks and emphasizing the need for robust input validation as outlined in the OWASP Top Ten security principles.