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CVE-2026-41502 – BACnet Stack: Off-by-One Out-of-Bounds Read in ReadPropertyMultiple Object ID Decoder

Posted on April 25, 2026
CVE ID :CVE-2026-41502

Published : April 24, 2026, 8:16 p.m. | 3 hours, 55 minutes ago

Description :BACnet Stack is a BACnet open source protocol stack C library for embedded systems. Prior to 1.4.3, an off-by-one out-of-bounds read vulnerability in bacnet-stack’s ReadPropertyMultiple service decoder allows unauthenticated remote attackers to read one byte past an allocated buffer boundary by sending a crafted RPM request with a truncated object identifier. The vulnerability is in rpm_decode_object_id(), which checks apdu_len
Severity: 8.7 | HIGH

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🤖 AI-Generated Patch Solution

Google Gemini (gemini-2.5-flash) • CVE: CVE-2026-41502

Unknown
N/A
⚠️ Vulnerability Description:

1. IMMEDIATE ACTIONS

a. Network Isolation: Immediately isolate any systems identified as potentially vulnerable from external networks and, if possible, from internal untrusted networks. This can involve firewall rules to block inbound connections to affected ports or temporarily disconnecting the system.
b. Log Review: Conduct a thorough review of application server logs, operating system logs (e.g., syslog, Windows Event Logs), and network device logs (e.g., firewall, IDS/IPS) for any signs of compromise or unusual activity dating back several weeks. Look for unexpected process creations, outbound connections from the application server, file modifications, or unusual HTTP requests (e.g., large POST bodies containing serialized data).
c. Emergency Firewall Rules: Implement temporary, restrictive firewall rules at the network perimeter or host level to block access to the affected application's listening ports from untrusted sources. If the application is internet-facing, consider blocking all external access until a patch can be applied.
d. Forensic Snapshot: If there is any suspicion of compromise, create forensic disk images or memory dumps of affected systems for later analysis by incident response teams.
e. Service Restart: As a temporary measure, consider restarting the affected application server processes to clear any in-memory exploits, though this does not address the root vulnerability.

2. PATCH AND UPDATE INFORMATION

a. Vendor Advisories: Continuously monitor official vendor security advisories and announcements for the affected application server or library. Patches are the primary and most effective remediation for this type of vulnerability.
b. Apply Patches: As soon as official patches or updated versions are released, plan for and apply them to all affected systems. Prioritize internet-facing systems and those handling sensitive data. Ensure proper testing in a staging environment before deploying to production.
c. Component Updates: If the vulnerability resides in a specific third-party library used by your application, ensure that you update that library to the patched version. This may require recompiling or redeploying your application.
d. Dependency Management: Review your project's dependency tree to identify all instances of the vulnerable component. Tools like OWASP Dependency-Check or commercial software composition analysis (SCA) tools can assist in this.

3. MITIGATION STRATEGIES

a. Disable Insecure Deserialization: If the application does not strictly require deserialization of untrusted data, disable or remove the functionality. For Java applications, this might involve removing endpoints that accept serialized Java objects or configuring serialization filters.
b. Serialization Filters: Implement a custom deserialization filter using Java's ObjectInputFilter or a similar mechanism provided by your framework. This filter should explicitly whitelist allowed classes for deserialization and block all others. This is a critical mitigation for deserialization vulnerabilities.
c. Network Segmentation: Implement strict network segmentation to limit the blast radius of a potential exploit. Place vulnerable applications in a highly restricted network segment with minimal access to other internal systems.
d. Least Privilege: Ensure the application server runs with the absolute minimum necessary operating system privileges. This limits the impact of successful code execution.
e. Input Validation and Output Encoding: While not a direct fix for deserialization, robust input validation on all incoming data and proper output encoding for all data displayed to users can help prevent other attack vectors and make exploitation more difficult.
f. Web Application Firewall (WAF): Deploy and configure a WAF to inspect and filter incoming requests for malicious payloads associated with deserialization attacks. Create custom rules to detect and block serialized objects or known exploit patterns.
g. Use Safer Data Formats: Where possible, refactor applications to use safer data exchange formats like JSON, XML, or Protocol Buffers, instead of Java's native object serialization, especially when handling untrusted input.

4. DETECTION METHODS

a. Log Monitoring: Enhance logging and monitoring for the application server. Look for:
– Unusual process spawns from the application server process.
– Unexpected outbound network connections initiated by the application server.
– File system changes (e.g., new files in web root, modifications to configuration files).
– Error messages related to deserialization failures or security exceptions.
– Large or unusual HTTP POST requests to deserialization endpoints.
b. Endpoint Detection and Response (EDR): Configure EDR solutions to monitor the application server host for suspicious activities such as:
– Execution of unusual commands or scripts.

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