CVE-2018-5817 in LibRaw
Summary
by MITRE
A type confusion error within the "unpacked_load_raw()" function within LibRaw versions prior to 0.19.1 (internal/dcraw_common.cpp) can be exploited to trigger an infinite loop.
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Analysis
by VulDB Data Team • 07/11/2023
The vulnerability identified as CVE-2018-5817 represents a critical type confusion flaw within LibRaw library versions prior to 019.1. This issue manifests specifically within the unpacked_load_raw() function located in the internal/dcraw_common.cpp file. Type confusion vulnerabilities occur when a program incorrectly handles data types during processing, leading to unpredictable behavior that can be exploited by malicious actors. The affected LibRaw library serves as a crucial component for processing raw image data from digital cameras and other imaging devices, making this vulnerability particularly concerning for applications that rely on proper image handling and processing capabilities.
The technical exploitation of this vulnerability results in an infinite loop condition that can be triggered through carefully crafted malformed image files. This type of flaw falls under CWE-479 which specifically addresses the improper handling of data types leading to execution control flow manipulation. When the unpacked_load_raw() function encounters certain malformed input data, it fails to properly validate the expected data types, causing the program to enter an endless loop where it continuously processes the same data without making forward progress. This condition effectively creates a denial of service scenario where legitimate users cannot process images while the system remains in a state of perpetual processing.
The operational impact of CVE-2018-5817 extends beyond simple denial of service, as it can be leveraged to consume excessive system resources and potentially disrupt service availability for legitimate users. Attackers can exploit this vulnerability by submitting specially crafted image files that trigger the infinite loop, causing applications using LibRaw to become unresponsive or crash. This vulnerability particularly affects applications that process user-uploaded images, such as photo sharing platforms, content management systems, and digital asset management tools. The infinite loop condition can be particularly damaging in server environments where multiple concurrent requests may be processed, potentially leading to resource exhaustion and complete service disruption. According to ATT&CK framework tactic TA0040 (Resource Exhaustion), this vulnerability enables adversaries to consume system resources to prevent legitimate use of services, which aligns with the behavior observed in this specific case.
Mitigation strategies for CVE-2018-5817 primarily involve upgrading to LibRaw version 0.19.1 or later, which includes proper type validation and bounds checking within the unpacked_load_raw() function. Organizations should implement comprehensive patch management processes to ensure all systems utilizing LibRaw components are updated promptly. Additionally, implementing input validation mechanisms at application layers can provide defense-in-depth protection against malformed image files that might trigger this vulnerability. Security monitoring should include detection of unusual CPU utilization patterns that may indicate the occurrence of infinite loop conditions. The vulnerability demonstrates the importance of proper input validation and type checking in image processing libraries, as highlighted by CWE-129 which addresses improper validation of array indices and other data handling issues. System administrators should also consider implementing sandboxing techniques for image processing operations and establishing rate limiting mechanisms to prevent abuse of vulnerable image processing functions.