CVE-2026-25544: Payload CMS SQL Injection Vulnerability

CVE-2026-25544 Overview

CVE-2026-25544 is a critical blind SQL injection vulnerability discovered in Payload CMS, a free and open source headless content management system. Prior to version 3.73.0, when querying JSON or richText fields, user input was directly embedded into SQL statements without proper escaping, enabling blind SQL injection attacks. An unauthenticated attacker could exploit this vulnerability to extract sensitive data including emails and password reset tokens, ultimately achieving full account takeover without needing to crack passwords.

Critical Impact
Unauthenticated attackers can extract sensitive data and achieve complete account takeover through blind SQL injection, compromising the confidentiality and integrity of the entire CMS deployment.

Affected Products

Payload CMS versions prior to 3.73.0
Applications using JSON field queries without input sanitization
Applications using richText field queries without input sanitization

Discovery Timeline

2026-02-06 - CVE CVE-2026-25544 published to NVD
2026-02-09 - Last updated in NVD database

Technical Details for CVE-2026-25544

Vulnerability Analysis

This vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The flaw exists in how Payload CMS processes queries against JSON and richText fields within its database layer.

When user-controlled input is passed to query functions targeting these field types, the application fails to properly sanitize or parameterize the input before constructing SQL statements. This allows attackers to inject malicious SQL syntax that gets executed directly against the underlying database.

The blind nature of this SQL injection means attackers cannot directly see query results in HTTP responses. Instead, they must infer information through timing-based techniques or boolean-based conditional responses, making detection more challenging but exploitation still highly effective.

Root Cause

The root cause of CVE-2026-25544 lies in the direct string concatenation or embedding of user-supplied input into SQL queries without proper escaping or parameterization. When Payload CMS constructs database queries for JSON and richText field types, it fails to use prepared statements or adequate input sanitization mechanisms, allowing SQL metacharacters to alter the query's intended logic.

Attack Vector

The attack vector is network-based and requires no authentication or user interaction. An attacker can craft malicious HTTP requests containing SQL injection payloads targeting endpoints that query JSON or richText fields. By manipulating the input parameters, attackers can:

Extract sensitive data - Use boolean-based or time-based blind SQL injection techniques to enumerate database contents character by character
Retrieve user credentials - Access email addresses and password reset tokens stored in the database
Achieve account takeover - Use extracted password reset tokens to take control of user accounts without password cracking
Enumerate database schema - Map out table structures and column names for further exploitation

The vulnerability allows extraction of highly sensitive authentication-related data, making it particularly dangerous for multi-tenant CMS deployments. For detailed technical information, refer to the GitHub Security Advisory.

Detection Methods for CVE-2026-25544

Indicators of Compromise

Unusual SQL error messages or database exceptions in application logs
HTTP requests containing SQL injection payloads such as single quotes, UNION SELECT, WAITFOR DELAY, or SLEEP() functions targeting JSON/richText field parameters
Abnormally long response times indicating time-based blind SQL injection attempts
Multiple sequential requests with systematically varying payloads suggesting automated extraction attempts

Detection Strategies

Implement Web Application Firewall (WAF) rules to detect common SQL injection patterns in request parameters
Monitor database query logs for anomalous query structures or syntax errors
Deploy runtime application self-protection (RASP) solutions to detect SQL injection attempts at the application layer
Analyze HTTP access logs for suspicious patterns of requests targeting content query endpoints

Monitoring Recommendations

Enable detailed logging for all database queries executed by the Payload CMS application
Set up alerts for failed database queries or SQL syntax errors that may indicate injection attempts
Monitor for unusual spikes in database query execution times
Track authentication-related database access patterns for anomalies

How to Mitigate CVE-2026-25544

Immediate Actions Required

Upgrade Payload CMS to version 3.73.0 or later immediately
Review application logs for signs of prior exploitation attempts
Rotate all user passwords and invalidate existing password reset tokens
Audit database access to identify any potential data exfiltration

Patch Information

The vulnerability has been fixed in Payload CMS version 3.73.0. Organizations should update to this version or later to remediate the SQL injection vulnerability. The patch implements proper input sanitization and parameterized queries for JSON and richText field operations. For patch details, see the GitHub Security Advisory.

Workarounds

If immediate patching is not possible, implement a WAF with SQL injection detection rules in front of the Payload CMS application
Restrict network access to the CMS administrative and API endpoints using IP allowlists
Disable or limit access to endpoints that query JSON or richText fields until patching is complete
Monitor all database activity for suspicious queries and implement query rate limiting

bash

# Example WAF rule configuration for ModSecurity
# Add SQL injection detection for Payload CMS endpoints
SecRule REQUEST_URI "@contains /api/" \
    "id:100001,\
    phase:2,\
    block,\
    t:none,t:urlDecodeUni,t:lowercase,\
    msg:'SQL Injection Attempt Detected',\
    chain"
    SecRule ARGS "@detectSQLi" \
        "setvar:tx.sql_injection_score=+1"