CVE-2025-13872 in Opinio
Summary
by MITRE • 12/02/2025
Blind Server-Side Request Forgery (SSRF) in the survey-import feature of
ObjectPlanet Opinio 7.26 rev12562 on
Web-based platforms allows an attacker to force the server to perform HTTP GET requests via crafted import requests
to an arbitrary destination.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Analysis
by VulDB Data Team • 12/05/2025
The vulnerability identified as CVE-2025-13872 represents a critical blind server-side request forgery flaw within the ObjectPlanet Opinio 7.26 rev12562 web application. This security weakness specifically resides in the survey-import functionality, where the application fails to properly validate or sanitize external input sources. The vulnerability allows attackers to manipulate the import process to initiate HTTP GET requests from the server to arbitrary destinations, creating a significant attack surface that can be exploited for various malicious purposes. The term "blind" in this context indicates that the attacker cannot directly observe the response from the targeted internal systems, making detection more challenging while still enabling substantial reconnaissance and exploitation activities.
The technical implementation of this vulnerability stems from inadequate input validation mechanisms within the survey import feature. When users submit survey data through the import functionality, the application processes external URLs or resource identifiers without sufficient sanitization or destination verification. This flaw enables an attacker to craft malicious import requests that contain crafted URLs pointing to internal network resources or external malicious servers. The server-side processing of these requests occurs without proper authorization checks or network boundary enforcement, allowing the vulnerable application to make HTTP requests to any destination specified by the attacker. This type of vulnerability typically maps to CWE-918, which specifically addresses server-side request forgery vulnerabilities where applications fail to validate external input that controls HTTP requests.
The operational impact of this vulnerability extends beyond simple data exfiltration or reconnaissance activities. Attackers can leverage this blind SSRF to perform internal network scanning, identify vulnerable internal services, and potentially escalate their privileges within the network infrastructure. The vulnerability enables attackers to probe internal systems that would normally be protected by network segmentation, potentially leading to further compromise of backend databases, internal APIs, or other sensitive systems. Additionally, the blind nature of the vulnerability means that attackers can perform reconnaissance without direct response visibility, making defensive measures more difficult to implement and detect. This flaw can also facilitate more sophisticated attacks such as cache poisoning or exploitation of internal services that might not be directly exposed to the internet.
Mitigation strategies for this vulnerability should focus on implementing comprehensive input validation and destination restriction mechanisms. Organizations should enforce strict URL validation for all external resource references within the import functionality, implementing allowlists for approved domains and IP addresses. Network-level controls including firewalls and proxy configurations should be deployed to restrict outbound HTTP requests from the vulnerable application. The implementation of proper authentication and authorization checks for import operations is essential to prevent unauthorized access to sensitive import features. Additionally, the application should be configured to use restricted network environments or sandboxed execution contexts that limit the potential damage from such attacks. Organizations should also consider implementing web application firewalls and monitoring systems that can detect anomalous request patterns associated with SSRF attempts. The remediation process must include thorough code review and input sanitization, with particular attention to the survey import functionality to ensure that all external resource references are properly validated before processing.