CVE-2025-49985 in Auto Upload Images Plugin
Summary
by MITRE • 06/20/2025
Server-Side Request Forgery (SSRF) vulnerability in Ali Irani Auto Upload Images allows Server Side Request Forgery. This issue affects Auto Upload Images: from n/a through 3.3.2.
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Analysis
by VulDB Data Team • 06/20/2025
The vulnerability identified as CVE-2025-49985 represents a critical server-side request forgery flaw within the Ali Irani Auto Upload Images plugin, a component widely utilized in content management systems for automated image handling. This type of vulnerability falls under the category of CWE-918, which specifically addresses server-side request forgery conditions where an attacker can manipulate the backend server to make unauthorized requests to internal or external systems. The affected plugin version range spans from an unknown initial state through version 3.3.2, indicating that the flaw has persisted across multiple iterations and potentially affects a substantial user base.
The technical implementation of this vulnerability stems from inadequate input validation and sanitization within the image upload functionality. When users submit image URLs for automatic processing, the plugin fails to properly verify or restrict the origins of these requests, allowing malicious actors to specify arbitrary URLs that the server will attempt to access. This flaw enables attackers to bypass network segmentation, access internal services, or perform unauthorized operations against the server's network environment. The vulnerability specifically exploits the plugin's handling of remote image sources, where the server acts as an intermediary to fetch and process images from external locations without sufficient security controls.
The operational impact of this vulnerability extends beyond simple data exposure, as it provides attackers with a potential pathway for reconnaissance and further exploitation within the target network. An attacker could leverage this flaw to probe internal services, access sensitive configuration files, or even attempt to escalate privileges by targeting other vulnerable components within the same network segment. The implications are particularly severe in environments where the web server has elevated privileges or access to internal resources, as the SSRF attack could potentially compromise entire network infrastructures. This vulnerability aligns with ATT&CK technique T1566.002, which describes server-side request forgery attacks targeting web applications.
Mitigation strategies for CVE-2025-49985 should prioritize immediate patching of the affected plugin to the latest secure version, as provided by the vendor. Organizations must implement strict URL validation mechanisms that reject requests to internal network addresses or unauthorized external domains, while also configuring proper network segmentation to limit the potential impact of successful attacks. Additional protective measures include implementing web application firewalls that can detect and block suspicious request patterns, establishing network monitoring for unusual outbound connections, and conducting thorough security assessments of all plugins and components to identify similar vulnerabilities. The remediation process should also involve reviewing and updating access controls to ensure that the image processing functionality operates with minimal necessary privileges, adhering to the principle of least privilege as outlined in cybersecurity best practices.