CVE-2026-59231 in Pentestify
Summary
by MITRE • 07/31/2026
Server-Side Request Forgery in the PDF export component in maalfer Pentestify before 1.1.0 allows authenticated users to cause outbound HTTP GET requests from the server to arbitrary attacker-chosen destinations via unvalidated URLs stored in the finding images field or the report client_logo field, which the server-side headless browser fetches while rendering the report.
Be aware that VulDB is the high quality source for vulnerability data.
Analysis
by VulDB Data Team • 07/31/2026
This vulnerability represents a critical server-side request forgery flaw that exists within the PDF export functionality of maalfer Pentestify version 1.1.0 and earlier. The security weakness stems from insufficient input validation mechanisms that permit authenticated users to inject malicious URLs into specific fields of the application's reporting system. When users create or modify findings within the pentesting platform, they can store unvalidated URLs in either the finding images field or the report client_logo field, which subsequently gets processed by the server-side headless browser during PDF generation. The vulnerability operates at the intersection of web application security and automated rendering processes, where the headless browser component automatically fetches external resources without proper sanitization or access control measures.
The technical implementation of this flaw demonstrates a classic SSRF attack vector that leverages the legitimate functionality of the PDF export feature to execute unauthorized network requests from the server. When an authenticated user submits malicious URLs through the vulnerable fields, the server-side rendering engine processes these inputs and attempts to fetch the specified resources using standard HTTP GET requests. This behavior creates a pathway for attackers to potentially access internal network services that the server can reach but external clients cannot, effectively bypassing network segmentation controls. The vulnerability is particularly concerning because it requires only authenticated access rather than administrative privileges, making it exploitable by users with standard pentest permissions within the platform.
From an operational impact perspective, this vulnerability could enable attackers to perform various malicious activities including internal port scanning, information disclosure of internal services, and potentially facilitate further attacks on the internal network infrastructure. The headless browser's automatic resource fetching behavior means that even seemingly benign image fields can become attack vectors for reconnaissance and exploitation. Attackers could use this capability to probe internal systems, gather sensitive information from services running on internal ports, or even attempt to exfiltrate data through carefully crafted URL schemes. The vulnerability also poses a risk to the overall security posture of organizations using Pentestify, as it could be exploited to gain unauthorized access to internal resources that would normally be protected by network firewalls and access controls.
The mitigation strategies for this vulnerability should focus on implementing strict input validation and sanitization mechanisms for all user-supplied URLs within the PDF export functionality. Organizations should ensure that any URLs stored in the finding images or client_logo fields undergo comprehensive validation against known safe protocols and domains, with strict restrictions on internal IP ranges and localhost references. The implementation of a whitelist-based approach for URL validation, combined with proper network segmentation and firewall rules, would significantly reduce the attack surface. Additionally, organizations should consider implementing server-side proxy mechanisms that prevent direct external resource fetching and instead route all requests through controlled intermediaries that can enforce additional security checks. This vulnerability aligns with CWE-918 which specifically addresses server-side request forgery in web applications and represents a critical concern for any application handling user-supplied URLs in automated rendering contexts where access controls may not be properly enforced.
The attack surface of this vulnerability extends beyond simple information disclosure to potentially enable more sophisticated attacks within the network environment. An attacker could leverage the SSRF capability to perform internal service enumeration, attempt to access sensitive endpoints that are only available internally, or even construct a pivot point for accessing other systems within the same network segment. The headless browser behavior makes this particularly dangerous because it mimics legitimate user traffic patterns and can potentially bypass security monitoring systems that might detect more obvious malicious network requests. Organizations should implement network-based detection mechanisms to identify unusual outbound connections from their servers, particularly when these connections originate from PDF generation processes or automated rendering components.
Security teams should also consider implementing comprehensive logging and monitoring of PDF export activities to detect potential exploitation attempts. The vulnerability creates a persistent risk for organizations that do not immediately patch the affected version, as attackers can maintain access to internal resources through repeated exploitation attempts. Regular security assessments of web applications should include specific testing for SSRF vulnerabilities in automated rendering components, particularly those involving headless browsers or similar technologies that automatically fetch external resources. Organizations using Pentestify should urgently upgrade to version 1.1.0 or later where this vulnerability has been addressed through proper input validation and URL sanitization mechanisms that prevent untrusted URLs from being processed by the server-side rendering engine. The implementation of security controls such as network access control lists, application firewalls, and proper input validation frameworks would provide additional layers of protection against similar vulnerabilities in other components of the application stack.