CVE-2017-7619 in ImageMagick
Summary
by MITRE
In ImageMagick 7.0.4-9, an infinite loop can occur because of a floating-point rounding error in some of the color algorithms. This affects ModulateHSL, ModulateHCL, ModulateHCLp, ModulateHSB, ModulateHSI, ModulateHSV, ModulateHWB, ModulateLCHab, and ModulateLCHuv.
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Analysis
by VulDB Data Team • 10/15/2019
The vulnerability identified as CVE-2017-7619 represents a critical denial-of-service flaw within ImageMagick version 7.0.4-9 that stems from improper floating-point arithmetic handling in color transformation algorithms. This issue specifically impacts a suite of color modulation operations including ModulateHSL, ModulateHCL, ModulateHCLp, ModulateHSB, ModulateHSI, ModulateHSV, ModulateHWB, ModulateLCHab, and ModulateLCHuv, creating a condition where certain input parameters can trigger computational loops that never terminate. The root cause lies in the way these algorithms process floating-point numbers during color space conversions, where rounding errors accumulate in a manner that prevents the algorithms from reaching their natural termination conditions. This flaw demonstrates a classic example of how mathematical precision issues in computational systems can lead to severe operational disruptions, particularly in image processing applications that handle large volumes of data.
The technical implementation of this vulnerability involves the interaction between floating-point representation and iterative computational loops within the color conversion routines. When specific color values are processed through these modulation algorithms, the floating-point arithmetic produces results that, due to precision limitations, cause the iterative processes to never converge to their expected endpoints. This creates an infinite loop scenario where the processing continues indefinitely until manually interrupted or system resources are exhausted. The vulnerability affects the fundamental color transformation capabilities of ImageMagick, making it particularly dangerous in environments where automated image processing workflows are common, such as web applications, content management systems, or digital asset management platforms that rely on ImageMagick for image manipulation tasks.
From an operational standpoint, this vulnerability poses significant risks to system availability and resource management across various computing environments. Attackers can exploit this weakness by crafting specially formatted image files that trigger the infinite loop condition when processed by applications using ImageMagick. The impact extends beyond simple service disruption as the infinite loop consumes CPU resources continuously, potentially leading to system degradation, denial of service for legitimate users, and increased operational costs due to resource exhaustion. The vulnerability is particularly concerning in cloud environments where shared resources may be affected, or in applications where image processing is a core functionality, as it can effectively halt processing workflows and compromise system stability. Organizations using ImageMagick in production environments face potential downtime and service interruptions when this vulnerability is exploited, making it a critical security concern for system administrators and security teams.
Mitigation strategies for CVE-2017-7619 should prioritize immediate patching of affected ImageMagick installations to version 7.0.4-10 or later, which contains the necessary fixes for the floating-point rounding error conditions. System administrators should implement input validation measures to filter potentially malicious image files before processing, particularly in web-facing applications where user-uploaded content is common. Network-level protections such as rate limiting and resource quotas can help limit the impact of exploitation attempts by preventing excessive processing requests from consuming system resources. Additionally, organizations should consider implementing sandboxed processing environments for image operations, isolating vulnerable applications from critical system resources. The vulnerability aligns with CWE-128, which addresses "Wrap or Overflow" conditions in computational processes, and can be categorized under ATT&CK technique T1499.1, focusing on "Endpoint Denial of Service" through resource exhaustion. Regular security assessments and vulnerability scanning should be implemented to identify other potential floating-point precision issues within image processing pipelines, ensuring comprehensive protection against similar vulnerabilities that may arise from mathematical computation errors in multimedia applications.