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CVSS: 5.3 🐛 CWE-74
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2025-8126

CVE-2025-8126 SQL Injection in Deerwms
📅 PUBLISHED: 2025-07-25 01:32 UTC 🔄 UPDATED: 2026-09-23 20:31 UTC
[ ZERO-DAY / UNPATCHED ] [ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.43%
👁️
0.43% probability
10.6× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1190
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
VULNERABLE: UNKNOWN / CHECK VENDOR
CVSS SEVERITY SCALE
9.0–10.0 CRITICAL
7.0–8.9 HIGH
4.0–6.9 MEDIUM
0.1–3.9 LOW
0.0 NONE
5.3
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2025-8126 is a critical SQL injection vulnerability discovered in the deerwms deer-wms-2 application, affecting versions up to and including 3.3. The flaw resides in the /system/user/export endpoint, specifically within the params[dataScope] argument. An authenticated remote attacker can exploit this vulnerability to inject arbitrary SQL commands, potentially leading to unauthorized data access, modification, or deletion. The exploit has been publicly disclosed, increasing the risk of active exploitation. The CVSS score of 6.3 reflects a medium severity, but the ease of exploitation and public availability of the exploit warrant immediate attention.

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Supply Chain & Package Security

This vulnerability is not related to a package manager (NPM, PyPI, Go, Ruby) but is a direct application-level flaw in the deer-wms-2 software. Organizations using this software should verify their version and apply the vendor's patch immediately.

CVSS Breakdown & Threat Level

  • CVSS Score: 6.3 (Medium)
  • Attack Vector (AV): Network (N) - The attack can be launched remotely.
  • Attack Complexity (AC): Low (L) - No special conditions are required for exploitation.
  • Privileges Required (PR): Low (L) - The attacker needs valid user credentials.
  • User Interaction (UI): None (N) - No user action is required.
  • Scope (S): Unchanged (U) - The vulnerability does not affect other components.
  • Confidentiality (C): High (H) - Successful exploitation can lead to full database disclosure.
  • Integrity (I): Low (L) - Limited ability to modify data.
  • Availability (A): Low (L) - Potential for denial of service through database corruption.

Threat Level: High. The public availability of the exploit and the low complexity of the attack make this a significant threat to unpatched systems.

Deep Dive & Mechanics

The vulnerability is a classic SQL injection in the /system/user/export endpoint. The application fails to properly sanitize user-supplied input passed via the params[dataScope] parameter. When constructing the SQL query for exporting user data, the application directly concatenates this parameter into the query string without parameterization or escaping.

An attacker can inject SQL commands by providing a malicious value for params[dataScope]. For example, a payload like 1' OR '1'='1 could be used to bypass intended filters and extract all user records. More sophisticated payloads could be used to enumerate database schema, extract credentials, or execute arbitrary SQL statements.

The attack is performed via a POST request to the vulnerable endpoint. The attacker must be authenticated to access the export functionality, but the injection occurs after authentication, making it a post-authentication vulnerability.

Vulnerable vs. Patched Code

Vulnerable Code (Conceptual):

// Vulnerable: Direct concatenation of user input
String query = "SELECT * FROM users WHERE data_scope = '" + request.getParameter("params[dataScope]") + "'";
Statement stmt = connection.createStatement();
ResultSet rs = stmt.executeQuery(query);

Patched Code (Conceptual):

// Patched: Use of parameterized query
String query = "SELECT * FROM users WHERE data_scope = ?";
PreparedStatement pstmt = connection.prepareStatement(query);
pstmt.setString(1, request.getParameter("params[dataScope]"));
ResultSet rs = pstmt.executeQuery();

The patched version uses a PreparedStatement with parameterized queries, which prevents SQL injection by treating user input as data, not executable code.

Exploitation & Lab Setup

Red Team (Offensive)

Prerequisites:

  • A valid user account on the target deer-wms-2 instance.
  • Network access to the application.

Exploitation Steps:

  1. Authenticate to the deer-wms-2 application and obtain a valid session cookie.
  2. Craft a POST request to /system/user/export with a malicious params[dataScope] parameter.
  3. Use a tool like curl or Burp Suite to send the request.

Example Exploit (using curl):

curl -X POST 'http://target.com/system/user/export' \
  -H 'Cookie: JSESSIONID=your_session_id' \
  -d 'params[dataScope]=1%27%20UNION%20SELECT%20username,password%20FROM%20users--'

Expected Outcome: The response will contain the exported user data, including the injected SQL results (e.g., usernames and passwords).

Blue Team (Defensive)

Detection:

  • Monitor for POST requests to /system/user/export with unusual or long params[dataScope] values.
  • Look for SQL keywords (e.g., UNION, SELECT, OR) in the params[dataScope] parameter.
  • Use a Web Application Firewall (WAF) to block SQL injection patterns.

Mitigation:

  • Immediately apply the vendor's patch.
  • If patching is not possible, disable the /system/user/export endpoint or restrict access to trusted IPs.
  • Implement input validation and parameterized queries in all database interactions.

Indicators of Compromise (IOCs)

  • Network IOCs:
    • POST requests to /system/user/export with suspicious params[dataScope] values.
    • HTTP responses containing unexpected database output (e.g., error messages, extra columns).
  • File IOCs:
    • Unusual log entries in application logs showing SQL errors or injection attempts.
  • System IOCs:
    • Unexpected database queries or modifications.
    • New user accounts or privilege escalations.

Detection Engineering

YARA Rule

rule CVE_2025_8126_SQLi_Detection {
    meta:
        description = "Detects SQL injection attempts targeting CVE-2025-8126"
        author = "Valters IT"
        date = "2025-04-10"
        reference = "CVE-2025-8126"
    strings:
        $s1 = "/system/user/export" nocase
        $s2 = "params[dataScope]" nocase
        $s3 = "UNION" nocase
        $s4 = "SELECT" nocase
        $s5 = "OR" nocase
        $s6 = "1=1" nocase
    condition:
        all of ($s1, $s2) and 1 of ($s3, $s4, $s5, $s6)
}

Sigma Rule

title: CVE-2025-8126 SQL Injection Attempt
id: 12345678-1234-1234-1234-123456789012
status: experimental
description: Detects SQL injection attempts against the deer-wms-2 /system/user/export endpoint
author: Valters IT
date: 2025/04/10
logsource:
    category: webserver
    product: apache
detection:
    selection:
        cs-method: 'POST'
        cs-uri-stem: '/system/user/export'
        cs-uri-query|contains: 'params[dataScope]'
    keywords:
        - 'UNION'
        - 'SELECT'
        - 'OR'
        - '1=1'
    condition: selection and keywords
falsepositives:
    - Legitimate use of the export function with normal data
level: high

Suricata Rule

alert http any any -> any any (msg:"CVE-2025-8126 SQL Injection Attempt"; flow:to_server,established; content:"POST"; http_method; content:"/system/user/export"; http_uri; content:"params[dataScope]"; http_client_body; pcre:"/(UNION|SELECT|OR|1=1)/Ri"; classtype:web-application-attack; sid:1000001; rev:1;)

Remediation & Mitigation

Immediate Actions:

  1. Patch: Upgrade deer-wms-2 to the latest patched version (above 3.3) provided by the vendor.
  2. Workaround: If patching is delayed, disable the /system/user/export endpoint or restrict access to it via firewall rules or web server configuration.
  3. WAF Rules: Deploy or update WAF rules to block SQL injection patterns in the params[dataScope] parameter.

Long-Term Measures:

  • Implement secure coding practices, including parameterized queries and input validation.
  • Conduct regular security audits and penetration testing.
  • Monitor application logs for suspicious activity.
  • Apply the principle of least privilege to database accounts.

Valters IT

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2025-8126/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
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