CVE-2018-5809 in LibRaw
Summary
by MITRE
An error within the "LibRaw::parse_exif()" function (internal/dcraw_common.cpp) in LibRaw versions prior to 0.18.9 can be exploited to cause a stack-based buffer overflow and subsequently execute arbitrary code.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Analysis
by VulDB Data Team • 06/13/2023
The vulnerability identified as CVE-2018-5809 represents a critical stack-based buffer overflow flaw within the LibRaw library's EXIF parsing functionality. This issue exists in the LibRaw::parse_exif() function located in the internal/dcraw_common.cpp source file and affects all versions prior to 0.18.9. The vulnerability stems from inadequate bounds checking during the processing of EXIF metadata within image files, creating a scenario where maliciously crafted input can trigger unauthorized memory access patterns.
The technical exploitation of this vulnerability occurs when the LibRaw library processes image files containing specially crafted EXIF data structures. The flaw manifests as a stack buffer overflow because the function fails to properly validate the size of incoming EXIF data before copying it into fixed-size local buffers. When the parsed EXIF data exceeds the allocated buffer space, adjacent memory locations become overwritten, potentially corrupting the stack frame and allowing an attacker to manipulate program execution flow. This type of vulnerability aligns with CWE-121, which categorizes stack-based buffer overflow conditions, and represents a classic example of unsafe memory manipulation in C/C++ applications.
The operational impact of CVE-2018-5809 extends beyond simple code execution, as it can be leveraged by attackers to achieve complete system compromise. When exploited successfully, the vulnerability enables arbitrary code execution with the privileges of the affected application, which could range from simple image processing utilities to complex multimedia applications. This makes the vulnerability particularly dangerous in environments where LibRaw is used as a library component in security-sensitive applications, such as digital asset management systems, photo editing software, or web applications that process user-uploaded images. The attack surface is broad since many applications rely on LibRaw for raw image format processing, making this vulnerability potentially exploitable across multiple software ecosystems.
Mitigation strategies for CVE-2018-5809 primarily focus on immediate version upgrades to LibRaw 0.18.9 or later, which contains the necessary patches to address the buffer overflow condition. Organizations should conduct comprehensive vulnerability assessments to identify all systems and applications utilizing vulnerable versions of LibRaw, particularly in environments handling untrusted image data. Additional protective measures include implementing input validation layers that sanitize EXIF data before processing, deploying runtime protections such as stack canaries or address space layout randomization, and establishing monitoring protocols to detect anomalous behavior indicative of exploitation attempts. The vulnerability also highlights the importance of adhering to secure coding practices and conducting regular security reviews of third-party libraries, as outlined in the ATT&CK framework's software supply chain attack categories where such vulnerabilities often serve as initial compromise vectors.