CVE-2026-27310 Overview
CVE-2026-27310 is a Heap-based Buffer Overflow vulnerability affecting Adobe Bridge versions 16.0.2, 15.1.4 and earlier. This memory corruption flaw could allow an attacker to achieve arbitrary code execution in the context of the current user. The vulnerability requires user interaction, specifically that a victim must open a malicious file crafted by an attacker.
Critical Impact
Successful exploitation of this heap-based buffer overflow could allow attackers to execute arbitrary code with the privileges of the current user, potentially leading to complete system compromise, data theft, or further malware deployment.
Affected Products
- Adobe Bridge versions 16.0.2 and earlier
- Adobe Bridge versions 15.1.4 and earlier
- Runs on Apple macOS and Microsoft Windows operating systems
Discovery Timeline
- April 14, 2026 - CVE-2026-27310 published to NVD
- April 15, 2026 - Last updated in NVD database
Technical Details for CVE-2026-27310
Vulnerability Analysis
This vulnerability is classified as CWE-122 (Heap-based Buffer Overflow), a critical memory corruption vulnerability that occurs when a program writes more data to a heap-allocated buffer than it can hold. In the context of Adobe Bridge, this flaw exists in the application's file parsing functionality.
When Adobe Bridge processes a specially crafted malicious file, the application fails to properly validate the size of input data before copying it to a heap-allocated buffer. This allows an attacker to overflow the buffer boundaries and corrupt adjacent heap memory structures. By carefully controlling the overflow data, an attacker can manipulate heap metadata or overwrite function pointers, ultimately gaining control of program execution flow.
The local attack vector requiring user interaction somewhat limits the attack surface, but social engineering techniques such as phishing emails with malicious attachments remain highly effective delivery mechanisms. Once the victim opens the malicious file with Adobe Bridge, the exploit triggers automatically.
Root Cause
The root cause of CVE-2026-27310 lies in improper bounds checking within Adobe Bridge's file parsing routines. When handling certain file types, the application allocates a heap buffer based on size information embedded in the file. However, insufficient validation allows an attacker to specify a smaller allocation size while providing larger actual data, resulting in a heap buffer overflow condition.
Attack Vector
The attack vector for this vulnerability is local, requiring the attacker to deliver a malicious file to the victim. Common attack scenarios include:
- Email-based attacks: Attacker sends a phishing email containing a malicious file attachment that exploits the vulnerability when opened in Adobe Bridge
- Drive-by downloads: Malicious websites hosting exploit files that victims may download and open
- Social engineering: Tricking users into opening files shared via cloud storage, file sharing services, or messaging platforms
The vulnerability occurs during file parsing, meaning the malicious code executes as soon as the victim opens the weaponized file with Adobe Bridge. See the Adobe Security Advisory APSB26-39 for additional technical details.
Detection Methods for CVE-2026-27310
Indicators of Compromise
- Unexpected crashes or abnormal behavior in Adobe Bridge application processes
- Suspicious child processes spawned by Adobe Bridge (bridge.exe on Windows or Adobe Bridge on macOS)
- Unusual file access patterns following the opening of unknown or suspicious files in Adobe Bridge
- Memory access violations or heap corruption errors logged in system event logs
Detection Strategies
- Monitor for Adobe Bridge processes exhibiting unusual behavior such as spawning command shells or network connections
- Implement endpoint detection rules to flag Adobe Bridge crashes with heap corruption signatures
- Deploy SentinelOne's behavioral AI to detect post-exploitation activity following malicious file opening
- Utilize file reputation services to identify known malicious files before they reach end users
Monitoring Recommendations
- Enable verbose logging for Adobe Bridge application events and crash reports
- Configure EDR solutions to monitor for suspicious parent-child process relationships involving Adobe Creative Cloud applications
- Establish baselines for normal Adobe Bridge behavior to identify anomalies
- Monitor network traffic for unusual outbound connections from creative application processes
How to Mitigate CVE-2026-27310
Immediate Actions Required
- Update Adobe Bridge to the latest patched version immediately following the guidance in APSB26-39
- Educate users about the risks of opening files from untrusted or unknown sources
- Implement application allowlisting to restrict execution of unauthorized code
- Consider temporarily restricting Adobe Bridge usage until patches can be deployed in enterprise environments
Patch Information
Adobe has released security updates to address this vulnerability. Organizations should refer to the Adobe Security Advisory APSB26-39 for official patch information and download links. The patches address the improper bounds checking that allows the heap-based buffer overflow condition.
Administrators should prioritize deployment of this patch, particularly for users who frequently work with files from external sources. SentinelOne customers are protected through behavioral AI detection capabilities that can identify exploitation attempts and post-exploitation activity.
Workarounds
- Restrict opening files from untrusted sources in Adobe Bridge until patches are applied
- Implement network segmentation to limit the impact of potential exploitation
- Enable Enhanced Protected Mode or sandboxing features if available in enterprise deployments
- Consider using alternative applications for viewing files from untrusted sources temporarily
# Configuration example - Restrict Adobe Bridge file associations (Windows)
# Remove potentially dangerous file associations pending patch deployment
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# Re-associate after patching is complete
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


