CVE-2024-38791 in AI Engine Plugin
Summary
by MITRE • 08/02/2024
Server-Side Request Forgery (SSRF) vulnerability in Jordy Meow AI Engine: ChatGPT Chatbot allows Server Side Request Forgery.This issue affects AI Engine: ChatGPT Chatbot: from n/a through 2.4.7.
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Analysis
by VulDB Data Team • 04/05/2025
The CVE-2024-38791 vulnerability represents a critical server-side request forgery flaw within the Jordy Meow AI Engine: ChatGPT Chatbot platform. This vulnerability stems from insufficient input validation and improper handling of user-supplied data when processing requests that involve external resource access. The flaw allows malicious actors to manipulate the application's behavior by forcing it to make unintended requests to internal or external systems that should otherwise remain inaccessible. The vulnerability specifically impacts versions ranging from the initial release through 2.4.7, indicating a long-standing issue that has persisted across multiple iterations of the software. The SSRF vulnerability is particularly dangerous because it can enable attackers to bypass network segmentation, access internal services, or perform unauthorized operations against backend systems that are typically protected from direct external access.
The technical exploitation of this vulnerability occurs when the application fails to properly validate or sanitize user-provided URLs or resource identifiers that are used to fetch content or communicate with external services. Attackers can craft malicious requests that cause the vulnerable application to initiate connections to internal network addresses, loopback interfaces, or other systems that should be protected from external access. This flaw operates under the common weakness enumeration CWE-918, which specifically addresses server-side request forgery vulnerabilities where applications fail to properly validate and sanitize external resource requests. The vulnerability can be leveraged to enumerate internal services, access sensitive configuration files, or even facilitate further attacks such as internal port scanning or data exfiltration.
The operational impact of CVE-2024-38791 extends beyond simple unauthorized access to internal systems. When exploited, this vulnerability can provide attackers with a foothold for more extensive reconnaissance activities, allowing them to map internal network topologies and identify potential targets for additional attacks. The vulnerability can also enable privilege escalation scenarios where attackers might gain access to administrative functions or sensitive data that should remain protected. Organizations using the Jordy Meow AI Engine: ChatGPT Chatbot are particularly at risk since this vulnerability can be exploited through the chatbot interface, potentially allowing attackers to compromise the entire backend infrastructure. The attack surface is further expanded due to the nature of chatbot applications that often require integration with external services, making the SSRF attack vector particularly relevant in this context.
Mitigation strategies for CVE-2024-38791 should focus on implementing robust input validation and sanitization mechanisms throughout the application's request processing pipeline. Organizations should implement strict allowlists for valid URLs and resource identifiers, ensuring that only predetermined and trusted external services can be accessed. Network segmentation and firewall rules should be configured to prevent internal systems from being directly accessible from the application server. The implementation of proper URL validation techniques, including protocol validation and hostname restrictions, can significantly reduce the attack surface. Additionally, organizations should consider implementing web application firewalls and intrusion detection systems that can monitor for suspicious request patterns. The vulnerability aligns with ATT&CK technique T1190, which covers the exploitation of server-side request forgery, and organizations should develop incident response procedures specifically addressing this threat vector. Regular security updates and patch management processes should be implemented to ensure that vulnerable versions of the software are not deployed in production environments.