CVE-2026-58553 in HarmonyOS
Summary
by MITRE • 07/15/2026
Out-of-bounds read vulnerability in the image codec module. Impact: Successful exploitation of this vulnerability may affect service confidentiality.
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Analysis
by VulDB Data Team • 07/15/2026
An out-of-bounds read vulnerability within an image codec module represents a critical security flaw that can potentially compromise system confidentiality and integrity. This type of vulnerability typically occurs when a software component fails to properly validate input data boundaries during image processing operations, allowing attackers to access memory locations beyond the intended buffer limits. The vulnerability manifests in scenarios where image files are decoded or processed without adequate boundary checking mechanisms, creating opportunities for malicious actors to exploit the flaw through crafted input payloads.
The technical implementation of this vulnerability stems from insufficient input validation and memory management practices within the image codec processing pipeline. When an application processes image files using vulnerable codecs, it may attempt to read memory locations that fall outside the allocated buffer space, potentially exposing sensitive data from adjacent memory regions. This behavior aligns with common software security weaknesses documented under CWE-129, which addresses insufficient validation of length of inputs, and CWE-787, which covers out-of-bounds write operations. The vulnerability can be leveraged to extract confidential information such as cryptographic keys, user credentials, or system memory contents that may be stored in adjacent memory locations.
From an operational impact perspective, successful exploitation of this vulnerability can result in significant confidentiality breaches within affected systems. Attackers who successfully trigger the out-of-bounds read condition can potentially access sensitive data that should remain protected, thereby compromising the confidentiality aspect of the information security triad. The attack surface extends beyond simple data exposure to include potential privilege escalation scenarios where attackers might gain access to system-level information or credentials stored in memory. This vulnerability particularly affects applications that handle untrusted image inputs, including web browsers, media processing software, and content management systems that process user-uploaded images.
The mitigation strategies for this vulnerability encompass multiple layers of defensive measures aimed at preventing exploitation while maintaining system functionality. Input validation controls should be implemented to ensure all image data undergoes rigorous boundary checking before processing, with proper bounds verification mechanisms integrated into the codec modules. Memory protection features such as stack canaries, address space layout randomization, and data execution prevention techniques can help detect and prevent exploitation attempts. Additionally, regular security updates and patches should be deployed to address known vulnerabilities in third-party image processing libraries and codecs. The remediation approach aligns with ATT&CK technique T1059.007 for command and scripting interpreter, where attackers might attempt to exploit such vulnerabilities to gain unauthorized access, making proactive patch management essential for maintaining system security posture.
Organizations should implement comprehensive monitoring solutions to detect potential exploitation attempts targeting this vulnerability, utilizing intrusion detection systems and application firewalls to identify anomalous image processing behavior. Regular security assessments of image handling components should be conducted to identify similar boundary-related vulnerabilities within the software ecosystem. The implementation of secure coding practices including proper buffer management, input validation, and memory safety checks should become standard requirements for all image processing modules. These defensive measures are particularly important in environments where untrusted image content is regularly processed, as they help establish a robust security framework that prevents exploitation while maintaining operational continuity.