CVE-2017-8325 in ImageWorsenerinfo

Summary

by MITRE

The iw_process_cols_to_intermediate function in imagew-main.c in libimageworsener.a in ImageWorsener before 1.3.1 allows remote attackers to cause a denial of service (heap-based buffer overflow and application crash) or possibly have unspecified other impact via a crafted image.

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Analysis

by VulDB Data Team • 12/02/2022

The vulnerability identified as CVE-2017-8325 resides within the ImageWorsener library, specifically in the iw_process_cols_to_intermediate function located in imagew-main.c. This flaw affects versions prior to 1.3.1 and represents a critical heap-based buffer overflow that can be exploited remotely by attackers who craft malicious image files. The vulnerability stems from inadequate input validation and memory management within the image processing pipeline, where the function fails to properly bounds-check data when processing image columns, leading to memory corruption that can result in application crashes or potentially more severe consequences.

The technical implementation of this vulnerability involves the improper handling of image data structures during the intermediate processing phase of image manipulation operations. When the iw_process_cols_to_intermediate function processes image columns, it does not adequately verify the size or structure of incoming image data, allowing attackers to craft specially formatted images that trigger buffer overflow conditions in the heap memory allocation. This memory corruption manifests as a denial of service condition where the application crashes, but the vulnerability also presents potential for more insidious exploitation scenarios that could allow for arbitrary code execution or information disclosure depending on the specific memory layout and exploitation circumstances. The flaw operates at the intersection of memory safety and image processing protocols, making it particularly dangerous in applications that process untrusted image inputs from external sources.

From an operational impact perspective, this vulnerability creates significant risks for systems that rely on ImageWorsener for image processing tasks, particularly web applications, content management systems, and any platform that accepts user-uploaded images. The remote exploitation capability means that attackers can trigger the vulnerability without requiring local access, making it particularly attractive for large-scale attacks against web applications. The denial of service aspect can be leveraged for availability attacks that disrupt legitimate service operations, while the potential for unspecified other impacts suggests that under certain conditions, attackers might be able to achieve more advanced exploitation goals. The vulnerability affects the core image processing functionality and can compromise the entire application stack if exploited successfully.

Mitigation strategies for CVE-2017-8325 primarily focus on updating to the patched version 1.3.1 or later, which implements proper bounds checking and memory validation in the affected function. Organizations should also implement input validation measures such as image format verification, size limitations, and sanitization of uploaded images before processing. The vulnerability aligns with CWE-121, heap-based buffer overflow, and can be categorized under ATT&CK technique T1203 for process injection or T1499 for network denial of service, depending on the specific exploitation vector. Additional defensive measures include implementing sandboxing for image processing operations, using memory protection mechanisms like stack canaries, and deploying intrusion detection systems to monitor for exploitation attempts. Network segmentation and access controls should be implemented to limit exposure of vulnerable applications, while regular security assessments should verify that no other similar vulnerabilities exist in the image processing pipeline or related libraries.

Reservation

04/29/2017

Disclosure

04/29/2017

Moderation

accepted

CPE

ready

EPSS

0.02475

KEV

no

Activities

very low

Sources

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