CVE-2026-4954
SQL Injection in mingSoft MCMS Web Content List Endpoint
Publication date: 2026-03-27
Last updated on: 2026-04-29
Assigner: VulDB
Description
Description
CVSS Scores
EPSS Scores
| Probability: | |
| Percentile: |
Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| mingsoft | mcms | 5.5.0 |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-74 | The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component. |
| CWE-89 | The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data. |
Attack-Flow Graph
AI Powered Q&A
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
CVE-2026-4954 is a critical SQL injection vulnerability that allows attackers to remotely execute arbitrary SQL commands, leading to unauthorized data disclosure, data tampering, authentication bypass, and denial of service.
Such unauthorized access and manipulation of sensitive data can result in violations of data protection regulations and standards like GDPR and HIPAA, which mandate the confidentiality, integrity, and availability of personal and sensitive information.
Specifically, the vulnerability can lead to critical confidentiality breaches by exposing sensitive data such as credentials, high integrity risks by allowing modification or deletion of CMS content or configuration, and high availability risks by causing service disruption.
Organizations using the affected MCMS version 5.5.0 without remediation may fail to comply with these regulations due to inadequate protection against unauthorized data access and manipulation.
Can you explain this vulnerability to me?
CVE-2026-4954 is a critical SQL injection vulnerability found in mingSoft MCMS version 5.5.0, specifically in the Web Content List Endpoint. The vulnerability arises because the system collects HTTP request parameters without validation and uses them directly in SQL queries through unsafe FreeMarker template rendering. This allows attackers to inject malicious SQL code remotely by crafting special requests to the content listing endpoint.
The core issue is that user input is interpolated directly into SQL statements without parameterization or sanitization, enabling attackers to execute arbitrary SQL commands. This can lead to unauthorized data access, data modification, authentication bypass, and denial of service.
How can this vulnerability impact me? :
This vulnerability can have severe impacts including unauthorized disclosure of sensitive data such as credentials, modification or deletion of CMS content or configuration, and disruption of service availability by triggering expensive or destructive database queries.
- Confidentiality breach: Attackers can dump sensitive information from the database.
- Integrity compromise: Attackers can alter or delete content and configuration data.
- Availability impact: Attackers can cause denial of service by executing resource-intensive queries.
The attack requires no authentication and can be performed remotely over the network, increasing the risk and ease of exploitation.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
Detection can be performed by monitoring HTTP requests to the endpoint /cms/content/list for typical SQL injection patterns.
- Look for payloads such as ' OR 1=1, UNION SELECT, SLEEP(, or references to information_schema in request parameters.
- Monitor for database errors triggered by malformed inputs in these requests.
Example commands to detect potential exploitation attempts include using network monitoring tools or web server logs to grep for suspicious patterns:
- grep -iE "(' OR 1=1|UNION SELECT|SLEEP\(|information_schema)" /var/log/nginx/access.log
- tcpdump -A -s 0 'tcp port 80 and (((ip[2:2] - ((ip[0]&0xf)<<2)) - ((tcp[12]&0xf0)>>2)) != 0)' | grep -iE "(' OR 1=1|UNION SELECT|SLEEP\(|information_schema)"
Additionally, setting up Web Application Firewall (WAF) rules to detect and block these common SQL injection payloads can help in detection.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include:
- Replace template-based raw SQL construction with parameterized queries using prepared statements.
- Implement strict input validation, ensuring parameters like typeids contain only digits and commas.
- Reject unsafe search parameters before SQL template rendering.
- Eliminate the use of FreeMarker or similar template engines for constructing executable SQL from untrusted input.
- Apply least-privilege principles to database accounts to limit potential damage.
- Add Web Application Firewall (WAF) rules to block common SQL injection payloads.
- Conduct code reviews to remove user input interpolation (${...}) in SQL templates and verify all database access uses safe parameter binding.