CVE-2024-27565: n/a
A Server-Side Request Forgery (SSRF) in weixin.php of ChatGPT-wechat-personal commit a0857f6 allows attackers to force the application to make arbitrary requests.
AI Analysis
Technical Summary
CVE-2024-27565 is a Server-Side Request Forgery (SSRF) vulnerability identified in the weixin.php file of the ChatGPT-wechat-personal project, specifically in the commit a0857f6. SSRF vulnerabilities occur when an attacker can manipulate a server-side application to send crafted HTTP requests to arbitrary destinations, potentially bypassing firewall restrictions and accessing internal or protected resources. In this case, the vulnerability allows unauthenticated attackers to force the application to make arbitrary requests, which can lead to unauthorized access to internal systems, sensitive data leakage, or further exploitation such as remote code execution or lateral movement within a network. The CVSS v3.1 base score is 9.8 (critical), reflecting the vulnerability's high impact on confidentiality, integrity, and availability, combined with its ease of exploitation (no privileges or user interaction required). The vulnerability is tracked under CWE-918 (SSRF). No patches or fixes are currently linked, and no known exploits have been reported in the wild as of the publication date (March 5, 2024). The affected versions are not explicitly listed, which suggests that users of the ChatGPT-wechat-personal project should audit their deployments for this vulnerability. SSRF flaws are particularly dangerous in environments where internal services are accessible only from the application server, as attackers can pivot into internal networks or cloud metadata services. Given the integration with WeChat and ChatGPT, this vulnerability could affect messaging platforms or chatbot deployments that use this codebase.
Potential Impact
The impact of CVE-2024-27565 is severe for organizations deploying the ChatGPT-wechat-personal project or similar integrations. Successful exploitation can lead to unauthorized internal network reconnaissance, data exfiltration, and potentially further compromise of internal services that are otherwise inaccessible externally. Confidentiality is at high risk due to possible access to sensitive internal endpoints or cloud metadata services. Integrity and availability may also be compromised if attackers leverage SSRF to trigger destructive actions or denial-of-service conditions on backend systems. The vulnerability requires no authentication or user interaction, increasing the likelihood of automated exploitation once discovered. Organizations relying on this software for chatbot or messaging services may face operational disruptions, reputational damage, and regulatory consequences if sensitive data is exposed. The lack of known patches increases the urgency for mitigation. Additionally, attackers could use this SSRF as a foothold for more complex multi-stage attacks, including privilege escalation or lateral movement within enterprise networks.
Mitigation Recommendations
To mitigate CVE-2024-27565 effectively, organizations should: 1) Conduct a thorough code review and audit of the ChatGPT-wechat-personal deployment to identify and isolate the vulnerable weixin.php component. 2) Implement strict input validation and sanitization to ensure that user-supplied URLs or parameters cannot be manipulated to trigger arbitrary requests. 3) Employ allowlisting for outbound requests from the application, restricting destinations to known safe endpoints only. 4) Use network segmentation and firewall rules to limit the application server's ability to reach internal services or sensitive infrastructure. 5) Monitor outbound traffic from the application for unusual or unexpected requests that could indicate exploitation attempts. 6) If possible, update or patch the software once a fix becomes available from the maintainers. 7) Consider deploying Web Application Firewalls (WAFs) with SSRF detection capabilities to block malicious request patterns. 8) Educate development teams on secure coding practices to prevent SSRF and similar vulnerabilities in future releases. 9) Maintain an incident response plan to quickly address any detected exploitation. These steps go beyond generic advice by focusing on network-level controls and proactive monitoring tailored to SSRF risks.
Affected Countries
China, United States, India, Singapore, South Korea, Japan, Germany, United Kingdom, Australia, Canada
CVE-2024-27565: n/a
Description
A Server-Side Request Forgery (SSRF) in weixin.php of ChatGPT-wechat-personal commit a0857f6 allows attackers to force the application to make arbitrary requests.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-27565 is a Server-Side Request Forgery (SSRF) vulnerability identified in the weixin.php file of the ChatGPT-wechat-personal project, specifically in the commit a0857f6. SSRF vulnerabilities occur when an attacker can manipulate a server-side application to send crafted HTTP requests to arbitrary destinations, potentially bypassing firewall restrictions and accessing internal or protected resources. In this case, the vulnerability allows unauthenticated attackers to force the application to make arbitrary requests, which can lead to unauthorized access to internal systems, sensitive data leakage, or further exploitation such as remote code execution or lateral movement within a network. The CVSS v3.1 base score is 9.8 (critical), reflecting the vulnerability's high impact on confidentiality, integrity, and availability, combined with its ease of exploitation (no privileges or user interaction required). The vulnerability is tracked under CWE-918 (SSRF). No patches or fixes are currently linked, and no known exploits have been reported in the wild as of the publication date (March 5, 2024). The affected versions are not explicitly listed, which suggests that users of the ChatGPT-wechat-personal project should audit their deployments for this vulnerability. SSRF flaws are particularly dangerous in environments where internal services are accessible only from the application server, as attackers can pivot into internal networks or cloud metadata services. Given the integration with WeChat and ChatGPT, this vulnerability could affect messaging platforms or chatbot deployments that use this codebase.
Potential Impact
The impact of CVE-2024-27565 is severe for organizations deploying the ChatGPT-wechat-personal project or similar integrations. Successful exploitation can lead to unauthorized internal network reconnaissance, data exfiltration, and potentially further compromise of internal services that are otherwise inaccessible externally. Confidentiality is at high risk due to possible access to sensitive internal endpoints or cloud metadata services. Integrity and availability may also be compromised if attackers leverage SSRF to trigger destructive actions or denial-of-service conditions on backend systems. The vulnerability requires no authentication or user interaction, increasing the likelihood of automated exploitation once discovered. Organizations relying on this software for chatbot or messaging services may face operational disruptions, reputational damage, and regulatory consequences if sensitive data is exposed. The lack of known patches increases the urgency for mitigation. Additionally, attackers could use this SSRF as a foothold for more complex multi-stage attacks, including privilege escalation or lateral movement within enterprise networks.
Mitigation Recommendations
To mitigate CVE-2024-27565 effectively, organizations should: 1) Conduct a thorough code review and audit of the ChatGPT-wechat-personal deployment to identify and isolate the vulnerable weixin.php component. 2) Implement strict input validation and sanitization to ensure that user-supplied URLs or parameters cannot be manipulated to trigger arbitrary requests. 3) Employ allowlisting for outbound requests from the application, restricting destinations to known safe endpoints only. 4) Use network segmentation and firewall rules to limit the application server's ability to reach internal services or sensitive infrastructure. 5) Monitor outbound traffic from the application for unusual or unexpected requests that could indicate exploitation attempts. 6) If possible, update or patch the software once a fix becomes available from the maintainers. 7) Consider deploying Web Application Firewalls (WAFs) with SSRF detection capabilities to block malicious request patterns. 8) Educate development teams on secure coding practices to prevent SSRF and similar vulnerabilities in future releases. 9) Maintain an incident response plan to quickly address any detected exploitation. These steps go beyond generic advice by focusing on network-level controls and proactive monitoring tailored to SSRF risks.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2024-02-26T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6d80b7ef31ef0b57dd71
Added to database: 2/25/2026, 9:45:36 PM
Last enriched: 2/26/2026, 11:06:25 AM
Last updated: 4/12/2026, 5:07:26 PM
Views: 13
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