CVE-2026-96522 in Photoshop
Summary
by MITRE • 10/14/2026
Photoshop Desktop is affected by an out-of-bounds write vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
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Analysis
by VulDB Data Team • 10/14/2026
The Adobe Photoshop Desktop application contains a critical memory corruption flaw classified as an out-of-bounds write, which poses a severe risk to system integrity and confidentiality. This vulnerability arises from improper validation of boundary conditions when processing specific image data structures or metadata within the software's rendering engine. When the application parses input files that contain crafted values exceeding expected limits, it writes data beyond the allocated memory buffer boundaries. This type of error is formally categorized under CWE-787 in the Common Weakness Enumeration standard, which defines out-of-bounds write as a condition where a pointer or index accesses memory outside the intended bounds of an array or buffer. The root cause typically involves insufficient checks on user-supplied input before it is used to calculate memory offsets, allowing malicious actors to overwrite adjacent memory locations with arbitrary data.
The operational impact of this vulnerability is significant because successful exploitation can lead to arbitrary code execution within the context of the current user. By carefully crafting a malicious file that triggers the out-of-bounds write, an attacker can manipulate the program's control flow, potentially overwriting function pointers or return addresses on the stack. This manipulation allows the injection and execution of shellcode, granting the attacker full control over the application process. Since Adobe Photoshop is often used with elevated privileges for editing high-resolution images or accessing system resources, compromising this process may provide an attacker with a foothold to escalate privileges further or move laterally within a network environment. The attack vector aligns with ATT&CK technique T1203, which covers exploitation of client applications, specifically targeting software that processes untrusted input from external sources such as email attachments or downloaded files.
Exploitation of this vulnerability requires user interaction, meaning the threat is not entirely passive but relies on social engineering elements to deliver the malicious payload. A victim must open a specially crafted file designed to trigger the memory corruption bug during parsing or rendering operations. This requirement limits the attack surface compared to remote code execution vulnerabilities that can be triggered by simply visiting a webpage, yet it remains highly dangerous in professional environments where users frequently exchange image files. The necessity for user interaction underscores the importance of security awareness training alongside technical controls. Attackers may disguise malicious files as legitimate Photoshop documents or embed exploit code within standard file formats like PSD or TIFF to bypass basic content filters and deceive end-users into opening them.
To mitigate this risk, organizations should ensure that all instances of Adobe Photoshop Desktop are updated to the latest version provided by Adobe Systems Incorporated, which includes patches for known memory safety issues. Implementing application whitelisting can restrict the execution of untrusted binaries or scripts spawned by vulnerable applications, thereby limiting the impact of successful exploitation. Additionally, deploying endpoint detection and response solutions with behavioral analysis capabilities can identify anomalous memory access patterns indicative of buffer overflow attacks in real-time. Network segmentation should also be considered to isolate workstations running creative software from critical infrastructure, reducing the potential blast radius if a compromise occurs. Regular security audits and penetration testing focused on input validation flaws are recommended to proactively identify similar weaknesses before they can be exploited by adversaries.