CVE-2025-11012: Stack-based Buffer Overflow in BehaviorTree
A vulnerability was determined in BehaviorTree up to 4.7.0. This affects the function ParseScript of the file /src/script_parser.cpp of the component Diagnostic Message Handler. Executing manipulation of the argument error_msgs_buffer can lead to stack-based buffer overflow. The attack can only be executed locally. The exploit has been publicly disclosed and may be utilized. This patch is called cb6c7514efa628adb8180b58b4c9ccdebbe096e3. A patch should be applied to remediate this issue.
AI Analysis
Technical Summary
CVE-2025-11012 is a stack-based buffer overflow vulnerability identified in the BehaviorTree software up to version 4.7.0, specifically within the ParseScript function located in the /src/script_parser.cpp file of the Diagnostic Message Handler component. The vulnerability arises from improper handling of the argument error_msgs_buffer, which can be manipulated to overflow the stack buffer. This type of vulnerability can lead to memory corruption, potentially allowing an attacker to execute arbitrary code, cause a denial of service, or crash the affected application. However, exploitation requires local access with at least low privileges (PR:L) and does not require user interaction (UI:N). The attack complexity is low (AC:L), and no authentication is needed (AT:N), but the scope of impact is limited to the vulnerable component (VC:L), integrity (VI:L), and availability (VA:L) are affected. The vulnerability has a CVSS 4.0 base score of 4.8, categorized as medium severity. The exploit has been publicly disclosed, but no known exploits in the wild have been reported yet. A patch identified by commit cb6c7514efa628adb8180b58b4c9ccdebbe096e3 is available to remediate the issue. Given the local attack vector, this vulnerability primarily threatens environments where untrusted users have local access to systems running vulnerable versions of BehaviorTree, which is often used in robotics, automation, and AI decision-making frameworks.
Potential Impact
For European organizations, the impact of CVE-2025-11012 depends largely on the deployment of BehaviorTree in their infrastructure. Organizations utilizing BehaviorTree for automation, robotics, or AI-driven processes may face risks of service disruption or unauthorized code execution if local users or processes can exploit the vulnerability. This could lead to compromised system integrity or availability, affecting critical operations especially in manufacturing, automotive, or industrial control sectors prevalent in Europe. Although remote exploitation is not possible, insider threats or compromised local accounts could leverage this vulnerability to escalate privileges or disrupt services. The medium severity rating indicates moderate risk, but the presence of publicly disclosed exploit details increases the urgency for patching. Failure to address this vulnerability could result in operational downtime, data integrity issues, and potential compliance violations under European data protection regulations if the affected systems handle sensitive data.
Mitigation Recommendations
European organizations should prioritize applying the official patch (commit cb6c7514efa628adb8180b58b4c9ccdebbe096e3) to all instances of BehaviorTree up to version 4.7.0. In addition to patching, organizations should enforce strict local access controls and limit the number of users with local access to systems running BehaviorTree. Implementing robust endpoint security solutions that monitor for anomalous local activity can help detect exploitation attempts. Regularly auditing user privileges and employing application whitelisting can reduce the risk of unauthorized code execution. For environments where immediate patching is not feasible, consider isolating vulnerable systems or running BehaviorTree components within sandboxed or containerized environments to limit potential damage. Finally, maintain up-to-date backups and incident response plans tailored to address local privilege escalation and buffer overflow exploitation scenarios.
Affected Countries
Germany, France, Italy, United Kingdom, Netherlands, Sweden, Finland
CVE-2025-11012: Stack-based Buffer Overflow in BehaviorTree
Description
A vulnerability was determined in BehaviorTree up to 4.7.0. This affects the function ParseScript of the file /src/script_parser.cpp of the component Diagnostic Message Handler. Executing manipulation of the argument error_msgs_buffer can lead to stack-based buffer overflow. The attack can only be executed locally. The exploit has been publicly disclosed and may be utilized. This patch is called cb6c7514efa628adb8180b58b4c9ccdebbe096e3. A patch should be applied to remediate this issue.
AI-Powered Analysis
Technical Analysis
CVE-2025-11012 is a stack-based buffer overflow vulnerability identified in the BehaviorTree software up to version 4.7.0, specifically within the ParseScript function located in the /src/script_parser.cpp file of the Diagnostic Message Handler component. The vulnerability arises from improper handling of the argument error_msgs_buffer, which can be manipulated to overflow the stack buffer. This type of vulnerability can lead to memory corruption, potentially allowing an attacker to execute arbitrary code, cause a denial of service, or crash the affected application. However, exploitation requires local access with at least low privileges (PR:L) and does not require user interaction (UI:N). The attack complexity is low (AC:L), and no authentication is needed (AT:N), but the scope of impact is limited to the vulnerable component (VC:L), integrity (VI:L), and availability (VA:L) are affected. The vulnerability has a CVSS 4.0 base score of 4.8, categorized as medium severity. The exploit has been publicly disclosed, but no known exploits in the wild have been reported yet. A patch identified by commit cb6c7514efa628adb8180b58b4c9ccdebbe096e3 is available to remediate the issue. Given the local attack vector, this vulnerability primarily threatens environments where untrusted users have local access to systems running vulnerable versions of BehaviorTree, which is often used in robotics, automation, and AI decision-making frameworks.
Potential Impact
For European organizations, the impact of CVE-2025-11012 depends largely on the deployment of BehaviorTree in their infrastructure. Organizations utilizing BehaviorTree for automation, robotics, or AI-driven processes may face risks of service disruption or unauthorized code execution if local users or processes can exploit the vulnerability. This could lead to compromised system integrity or availability, affecting critical operations especially in manufacturing, automotive, or industrial control sectors prevalent in Europe. Although remote exploitation is not possible, insider threats or compromised local accounts could leverage this vulnerability to escalate privileges or disrupt services. The medium severity rating indicates moderate risk, but the presence of publicly disclosed exploit details increases the urgency for patching. Failure to address this vulnerability could result in operational downtime, data integrity issues, and potential compliance violations under European data protection regulations if the affected systems handle sensitive data.
Mitigation Recommendations
European organizations should prioritize applying the official patch (commit cb6c7514efa628adb8180b58b4c9ccdebbe096e3) to all instances of BehaviorTree up to version 4.7.0. In addition to patching, organizations should enforce strict local access controls and limit the number of users with local access to systems running BehaviorTree. Implementing robust endpoint security solutions that monitor for anomalous local activity can help detect exploitation attempts. Regularly auditing user privileges and employing application whitelisting can reduce the risk of unauthorized code execution. For environments where immediate patching is not feasible, consider isolating vulnerable systems or running BehaviorTree components within sandboxed or containerized environments to limit potential damage. Finally, maintain up-to-date backups and incident response plans tailored to address local privilege escalation and buffer overflow exploitation scenarios.
Affected Countries
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-09-26T06:34:47.466Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 68d67b6d15851312793660d7
Added to database: 9/26/2025, 11:39:25 AM
Last enriched: 9/26/2025, 11:39:55 AM
Last updated: 9/28/2025, 8:01:10 AM
Views: 15
Related Threats
CVE-2025-11101: SQL Injection in itsourcecode Open Source Job Portal
MediumCVE-2025-11100: Command Injection in D-Link DIR-823X
MediumCVE-2025-11098: Command Injection in D-Link DIR-823X
MediumCVE-2025-11096: Command Injection in D-Link DIR-823X
MediumCVE-2025-11094: SQL Injection in code-projects E-Commerce Website
MediumActions
Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.