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CVE-2026-4755: CWE-20 CWE-20 in MolotovCherry Android-ImageMagick7

0
Critical
VulnerabilityCVE-2026-4755cvecve-2026-4755cwe-20
Published: Tue Mar 24 2026 (03/24/2026, 06:04:08 UTC)
Source: CVE Database V5
Vendor/Project: MolotovCherry
Product: Android-ImageMagick7

Description

CVE-2026-4755 is a critical vulnerability in the MolotovCherry Android-ImageMagick7 library, affecting versions before 7. 1. 2-11. It is classified under CWE-20, indicating improper input validation. The vulnerability has a CVSS score of 9. 8, reflecting its high impact on confidentiality, integrity, and availability without requiring authentication or user interaction. Exploitation can be performed remotely over the network with low complexity. Although no known exploits are currently in the wild, the severity and ease of exploitation make it a significant threat. This vulnerability primarily affects Android applications using the vulnerable ImageMagick7 library. Organizations relying on this library for image processing on Android devices should prioritize patching and implement strict input validation controls.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 03/24/2026, 07:01:51 UTC

Technical Analysis

CVE-2026-4755 is a critical security vulnerability identified in the MolotovCherry Android-ImageMagick7 library, specifically affecting versions prior to 7.1.2-11. The vulnerability is categorized under CWE-20, which pertains to improper input validation. This means that the affected software does not adequately verify or sanitize input data, potentially allowing maliciously crafted inputs to cause unintended behavior. Given that ImageMagick is a widely used image processing library, its Android variant is integrated into numerous applications for handling image manipulation tasks. The CVSS v3.1 score of 9.8 indicates a critical severity level, with attack vector being network-based (AV:N), no privileges required (PR:N), no user interaction needed (UI:N), and an impact on confidentiality, integrity, and availability rated as high (C:H/I:H/A:H). This implies that an attacker can remotely exploit this vulnerability without authentication or user interaction, potentially leading to full system compromise, data leakage, or denial of service. The vulnerability's root cause lies in insufficient validation of input parameters, which could allow attackers to execute arbitrary code, manipulate image processing workflows, or crash the application. Although no exploits have been reported in the wild yet, the critical nature and ease of exploitation necessitate urgent attention from developers and security teams. The lack of available patches at the time of publication further underscores the need for proactive mitigation strategies.

Potential Impact

The impact of CVE-2026-4755 is severe for organizations worldwide that utilize the MolotovCherry Android-ImageMagick7 library in their mobile applications. Successful exploitation can lead to complete compromise of affected Android devices, including unauthorized access to sensitive data, execution of arbitrary code, and disruption of service. This can result in data breaches, loss of user trust, and potential regulatory penalties. Enterprises relying on mobile apps for critical business functions, especially those handling confidential or financial information, face heightened risks. Additionally, the vulnerability could be leveraged as an entry point for broader network infiltration or lateral movement within corporate environments. The absence of required authentication and user interaction lowers the barrier for attackers, increasing the likelihood of automated or large-scale attacks once exploit code becomes available. The critical severity also implies potential impacts on device availability, which can disrupt business continuity and user operations.

Mitigation Recommendations

To mitigate CVE-2026-4755 effectively, organizations should immediately update the Android-ImageMagick7 library to version 7.1.2-11 or later once available. In the absence of an official patch, developers should implement strict input validation and sanitization routines around image processing functions to prevent malicious data from triggering the vulnerability. Employing runtime application self-protection (RASP) tools can help detect and block suspicious activities related to image handling. Additionally, applying application sandboxing and least privilege principles can limit the potential damage from exploitation. Monitoring network traffic for unusual patterns targeting image processing endpoints can provide early detection of exploitation attempts. Security teams should also conduct thorough code reviews and penetration testing focused on image input handling. Finally, educating developers about secure coding practices related to input validation and keeping dependencies up to date is essential to prevent similar vulnerabilities.

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Technical Details

Data Version
5.2
Assigner Short Name
GovTech CSG
Date Reserved
2026-03-24T06:03:55.592Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 69c2331ef4197a8e3bf9dffd

Added to database: 3/24/2026, 6:45:50 AM

Last enriched: 3/24/2026, 7:01:51 AM

Last updated: 3/24/2026, 7:48:22 AM

Views: 4

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