CVE-2026-58550 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 occurs when the codec processing code attempts to access memory locations beyond the allocated buffer boundaries during image decoding operations. The flaw typically manifests when the decoder fails to properly validate input parameters or image metadata, allowing maliciously crafted image files to trigger unauthorized memory access patterns.
The technical implementation of this vulnerability stems from inadequate bounds checking mechanisms within the image processing pipeline. When an attacker submits a specially crafted image file containing malformed headers or dimension specifications, the codec module may interpret these values incorrectly and attempt to read data from adjacent memory regions. This behavior can expose sensitive information such as cryptographic keys, user credentials, or system configuration details that happen to reside in the affected memory locations. The vulnerability aligns with CWE-125 which specifically addresses out-of-bounds read conditions in software implementations.
From an operational impact perspective, successful exploitation of this vulnerability can lead to significant confidentiality breaches within affected systems. Attackers can leverage this weakness to extract confidential data from running processes or memory segments that should remain protected. The service confidentiality aspect becomes particularly concerning when considering that many image processing applications handle sensitive user content, medical images, or proprietary business documents. This vulnerability can be exploited in various attack scenarios including web application exploitation, file upload attacks, or even remote code execution depending on the specific implementation details and surrounding security controls.
The exploitation landscape for this vulnerability follows patterns consistent with ATT&CK technique T1203 which covers exploitation of remote services through input validation flaws. Attackers typically craft malicious image files that trigger the out-of-bounds read condition during normal processing operations, potentially leading to information disclosure or system compromise. The attack surface expands when considering that many applications and services rely on image codec modules for processing user-uploaded content, making this vulnerability particularly dangerous in web environments where untrusted input is common.
Effective mitigation strategies must address both immediate protection and long-term architectural improvements. Organizations should implement comprehensive input validation mechanisms within their image processing pipelines to ensure all image parameters are properly bounded before any decoding operations begin. This includes validating image dimensions, file headers, and metadata values against expected ranges and formats. Additionally, memory safety improvements such as stack canaries, address space layout randomization, and compiler-based protections like bounds checking can significantly reduce exploitation success rates. Regular security updates and patches to the affected codec modules should be prioritized, while implementing proper access controls and monitoring for suspicious image processing activities can help detect potential exploitation attempts. The remediation approach should also consider adopting more secure programming practices and conducting thorough code reviews focused on memory safety aspects as outlined in industry best practices and compliance standards such as those referenced in NIST SP 800-155.