CriticalPublic exploit

SQL Injection in Clinic’s Patient Management System 2.0 Login Page

IdentifiersCVE-2025-3096CWE-89· Improper Neutralization of Special…

CVE-2025-3096 is a SQL injection vulnerability affecting Clinic’s Patient Management System version 2.0. According to the provided content, the flaw is present in the application's login page, indicating that user-supplied input in the authentication workflow is not properly sanitized or parameterized before being incorporated into SQL queries. This can allow an attacker to manipulate backend database queries by supplying crafted input through the login interface.

For your environment

Are you exposed to this one?

Mallory correlates every CVE against your assets, your vendors, and active adversary campaigns. Know which vulnerabilities matter for you, not just which ones are loud.

Start free trial

ANALYST BRIEF

Impact, mitigation & remediation

What it means. What to do now. Patch path, mitigations, and the assume-compromise checklist.

Impact

What an attacker gets, and what they’ve been doing with it.

Successful exploitation could allow an attacker to bypass authentication, extract or modify data stored in the backend database, and potentially interfere with application logic tied to the login process. Given that the affected product is a patient management system, exposed data could include sensitive medical or administrative information, depending on database permissions and application design.

Mitigation

If you can’t patch tonight, do this now.

If an immediate patch is not available, restrict access to the application login page to trusted networks or through a VPN, deploy a web application firewall with SQL injection detection and blocking rules, and closely monitor authentication and database activity for anomalous requests. Reduce database account privileges used by the application to the minimum necessary to limit post-exploitation impact.

Remediation

Patch, then assume compromise.

Upgrade Clinic’s Patient Management System to a fixed version if one is available from the vendor. The vulnerable login functionality should be remediated by replacing dynamically constructed SQL queries with parameterized queries or prepared statements, and by performing strict server-side input validation. A code review of all authentication-related database interactions should be conducted to identify and correct similar injection points.

PUBLIC EXPLOITS

Exploits

1 valid exploit after Mallory filtered fakes, detection scripts, and README-only repos.

VALID 1 / 1 TOTALView more in app

clinic_pms_sqli_to_rce.rbMaturityWeaponizedFrameworkmetasploitVerified exploit

This repository contains a single Metasploit module (clinic_pms_sqli_to_rce.rb) that exploits unauthenticated remote code execution vulnerabilities in Clinic's Patient Management System (PMS) version 2.0 (and possibly 1.0). The exploit leverages an SQL injection vulnerability in the login portal to authenticate as an admin user, then abuses the user modification functionality to upload a malicious PHP payload as a profile picture. The payload is then executed to achieve RCE. The module is operational and supports customizable PHP payloads via the Metasploit framework. The main endpoints targeted are the login page (/pms/index.php), user update page (/pms/update_user.php), and logout page (/pms/logout.php). The exploit is associated with CVE-2022-2297 and CVE-2025-3096. The code is well-structured, leverages Metasploit's HttpClient and FileDropper mixins, and includes options for cleaning up uploaded files after exploitation.

Disclosed Jan 4, 2025rubynetwork

ACTIVITY FEED

Recent activity

2 sources tracked across advisories and community write-ups. News coverage will land here when it surfaces.

2 SOURCESView more in app

No news coverage yet. Advisories and community discussion only.

What this page doesn’t show

The version that knows your environment.

This page is what’s public. Mallory adds the parts that aren’t: which of your assets are affected, which adversaries are exploiting it right now, which detections to deploy, and what to do tonight.

Start free trial

Exposure mapping

Query your assets running an affected version, and investigate the blast radius.

Threat actor evidence

Every observed campaign linking this CVE to a named adversary.

Associated malware

Malware families riding this exploit, with evidence and IOCs.

Detection signatures

YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.

Vendor-by-vendor mapping

Cross-references every affected SKU, including bundled OEM variants.

Social activity2