CVE-2026-58551 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 service confidentiality through unauthorized data access. This type of vulnerability occurs when the image processing code attempts to read memory locations beyond the allocated buffer boundaries, typically during the decoding or rendering process of image files. The flaw manifests when the codec fails to properly validate input parameters such as image dimensions, pixel data offsets, or frame boundaries before accessing memory regions. Such validation gaps enable attackers to craft malicious image files that trigger memory access violations, potentially exposing sensitive data from adjacent memory segments.
The technical implementation of this vulnerability stems from inadequate bounds checking mechanisms within the image processing pipeline. When an image codec encounters malformed input data, it may proceed with reading beyond the intended buffer limits, causing unpredictable behavior including information disclosure or system instability. The root cause aligns with CWE-129 Input Validation and CWE-787 Out-of-bounds Write/Read patterns commonly found in multimedia processing components. Attackers can exploit this weakness by submitting specially crafted image files that contain malformed metadata or corrupted pixel data structures designed to trigger the out-of-bounds memory access during normal processing operations. This exploitation technique falls under ATT&CK tactic TA0001 Initial Access and technique T1203 Exploitation for Client Execution when targeting applications that process user-supplied image content.
The operational impact of this vulnerability extends beyond simple data exposure, as successful exploitation can lead to complete compromise of service confidentiality through information disclosure attacks. When an attacker successfully triggers the out-of-bounds read condition, they may gain access to sensitive memory contents including authentication tokens, cryptographic keys, or confidential application data stored in adjacent memory regions. The vulnerability affects systems that process image files from untrusted sources such as web applications, email clients, multimedia processing services, or content management platforms. Depending on the application architecture, this weakness could enable attackers to extract database connection strings, user credentials, session identifiers, or other sensitive information from memory dumps or through careful manipulation of the read operation.
Mitigation strategies for this vulnerability require comprehensive input validation and robust error handling within image codec implementations. Organizations should implement strict bounds checking mechanisms that validate all image parameters before processing, including width, height, color depth, and pixel data offsets. Memory safety improvements such as stack canaries, address space layout randomization, and heap-based buffer overflow protections should be deployed to reduce exploitation success rates. Regular security updates and patches for image processing libraries, along with thorough code reviews focusing on memory management practices, form essential defensive measures. Additionally, implementing network segmentation and access controls around image processing services, combined with monitoring for unusual memory access patterns or resource consumption anomalies, provides layered protection against exploitation attempts. The remediation approach aligns with industry best practices outlined in NIST SP 800-144 and ISO/IEC 27034 standards for secure application development and security control implementation.