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CVE-2025-49985: CWE-918 Server-Side Request Forgery (SSRF) in Ali Irani Auto Upload Images

Medium
VulnerabilityCVE-2025-49985cvecve-2025-49985cwe-918
Published: Fri Jun 20 2025 (06/20/2025, 15:04:10 UTC)
Source: CVE Database V5
Vendor/Project: Ali Irani
Product: Auto Upload Images

Description

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.

AI-Powered Analysis

AILast updated: 06/21/2025, 12:08:23 UTC

Technical Analysis

CVE-2025-49985 is a Server-Side Request Forgery (SSRF) vulnerability identified in the Ali Irani Auto Upload Images plugin, affecting versions up to 3.3.2. SSRF vulnerabilities occur when an attacker can abuse a server functionality to make HTTP requests to arbitrary domains or internal systems, potentially bypassing network access controls. In this case, the vulnerability allows an attacker with low privileges (PR:L) and no user interaction (UI:N) to induce the server to send crafted requests to internal or external resources. The CVSS 3.1 base score is 4.9 (medium severity), reflecting a network attack vector (AV:N), high attack complexity (AC:H), and limited impact on confidentiality and integrity (C:L, I:L), with no impact on availability (A:N). The scope is changed (S:C), indicating that the vulnerability affects components beyond the initially vulnerable module, potentially impacting other parts of the system. Although no known exploits are currently reported in the wild and no patches have been published yet, the vulnerability could be leveraged to access internal services, gather sensitive information, or perform further attacks such as SSRF-based port scanning or exploiting trust relationships within internal networks. The lack of user interaction requirement and the ability to exploit remotely increase the risk profile, especially in environments where the plugin is deployed on publicly accessible web servers. The vulnerability is classified under CWE-918, which covers SSRF issues that can lead to unauthorized internal resource access or information disclosure. Given the plugin's role in handling image uploads, the SSRF vector likely involves manipulating URLs or upload parameters to trigger server-side requests to attacker-controlled or internal endpoints.

Potential Impact

For European organizations using the Ali Irani Auto Upload Images plugin, this SSRF vulnerability poses a moderate risk. Attackers could exploit it to access internal network resources that are otherwise inaccessible from the internet, potentially leading to information disclosure or reconnaissance for further attacks. This is particularly concerning for organizations with sensitive internal services, such as financial institutions, healthcare providers, or critical infrastructure operators, where internal network segmentation is crucial. The vulnerability could also be used to bypass firewall rules or access metadata services in cloud environments, leading to credential theft or privilege escalation. Although the direct impact on confidentiality and integrity is limited, the SSRF can serve as a pivot point for more severe attacks. The medium CVSS score reflects these factors, but the actual impact depends on the deployment context, network architecture, and existing security controls. Organizations in Europe with public-facing web applications using this plugin should assess their exposure, as exploitation could lead to data leakage or compromise of internal systems, affecting compliance with GDPR and other data protection regulations.

Mitigation Recommendations

1. Immediate mitigation should include restricting the plugin's ability to make outbound HTTP requests, for example, by implementing strict egress filtering on the web server or application firewall to limit outgoing connections to trusted domains only. 2. Disable or remove the Auto Upload Images plugin if it is not essential, or replace it with a secure alternative that does not have SSRF vulnerabilities. 3. Monitor web server logs and application logs for unusual outbound requests or patterns indicative of SSRF exploitation attempts, such as requests to internal IP ranges or localhost addresses. 4. Implement network segmentation and firewall rules to isolate critical internal services from the web server hosting the vulnerable plugin, minimizing the impact of potential SSRF exploitation. 5. Apply strict input validation and sanitization on any parameters that control URLs or external resource fetching within the plugin, if source code access and patching are possible. 6. Stay alert for official patches or updates from the vendor and apply them promptly once available. 7. Conduct penetration testing and vulnerability scanning focused on SSRF vectors to identify and remediate similar issues proactively. These steps go beyond generic advice by focusing on network-level controls, monitoring, and operational practices tailored to SSRF risks in the context of this specific plugin.

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Technical Details

Data Version
5.1
Assigner Short Name
Patchstack
Date Reserved
2025-06-11T16:07:56.073Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 68568e84aded773421b5a9dc

Added to database: 6/21/2025, 10:50:44 AM

Last enriched: 6/21/2025, 12:08:23 PM

Last updated: 8/4/2025, 12:32:10 PM

Views: 14

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