CVE-2014-9816 in ImageMagick
Summary
by MITRE
ImageMagick allows remote attackers to cause a denial of service (out-of-bounds access) via a crafted viff file.
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Analysis
by VulDB Data Team • 10/31/2024
The vulnerability identified as CVE-2014-9816 represents a critical out-of-bounds memory access flaw within ImageMagick, a widely deployed image processing library that serves as the foundation for numerous applications including web servers, content management systems, and digital asset management platforms. This vulnerability specifically affects the handling of viff image files, which are part of the Khoros Visualization Image Format used for scientific visualization and data representation. The flaw stems from insufficient input validation and boundary checking within the image parsing routines that process viff file structures, creating an opportunity for malicious actors to exploit memory corruption through crafted file inputs. The vulnerability falls under the CWE-125 weakness category, which encompasses out-of-bounds read conditions that can lead to information disclosure, system crashes, or potentially arbitrary code execution depending on the exploitation context.
The technical implementation of this vulnerability occurs when ImageMagick attempts to parse a maliciously crafted viff file that contains malformed header information or corrupted data structures. During the parsing process, the software fails to properly validate array indices or buffer boundaries, allowing an attacker to manipulate memory access patterns that extend beyond allocated memory regions. This particular flaw demonstrates characteristics consistent with the ATT&CK technique T1203, where adversaries exploit software vulnerabilities to cause system instability or resource exhaustion. The out-of-bounds access typically manifests as a segmentation fault or memory corruption that results in application termination, effectively creating a denial of service condition that prevents legitimate users from accessing image processing services. The vulnerability is particularly concerning because ImageMagick is integrated into numerous web applications and server environments, making the impact of exploitation widespread and potentially disruptive to service availability.
The operational impact of CVE-2014-9816 extends beyond simple denial of service scenarios, as it represents a potential entry point for more sophisticated attacks within compromised environments. When exploited in web applications that process user-uploaded images, this vulnerability can enable attackers to crash web servers, cause resource exhaustion, or potentially escalate privileges if the application runs with elevated permissions. The vulnerability's exploitation requires minimal technical expertise and can be automated through simple file upload mechanisms, making it particularly dangerous in environments where user input is not properly sanitized. Organizations utilizing ImageMagick in production environments face significant risk of service disruption, especially in high-traffic scenarios where a single malicious file could bring down entire image processing pipelines. The vulnerability also highlights the importance of proper input validation and memory safety practices in image processing libraries, as similar flaws have been identified in other multimedia processing components throughout the industry.
Mitigation strategies for CVE-2014-9816 primarily focus on immediate patching and configuration hardening measures to prevent exploitation. Organizations should prioritize updating ImageMagick installations to versions that contain the appropriate fixes for the out-of-bounds access vulnerability, typically released as part of the library's regular security update cycle. Additionally, implementing proper input validation at application layers can provide defense-in-depth measures that limit the impact of any potential exploitation attempts. Network-level controls such as file type filtering, size limitations, and sandboxed processing environments can help prevent malicious viff files from reaching vulnerable ImageMagick instances. The implementation of automated monitoring and alerting systems can help detect exploitation attempts by monitoring for unusual memory access patterns or application crashes. Organizations should also consider implementing application firewalls or web application firewalls that can filter out potentially malicious image file uploads before they reach the core processing components. Regular security assessments and penetration testing should include evaluation of image processing libraries to identify similar vulnerabilities that may exist in other components of the digital infrastructure stack.