CVE-2025-70893 Overview
A time-based blind SQL Injection vulnerability has been identified in PHPGurukul Cyber Cafe Management System v1.0. The vulnerability exists within the adminprofile.php endpoint, where the application fails to properly sanitize user-supplied input provided via the adminname parameter. This allows authenticated attackers to inject arbitrary SQL expressions, potentially leading to unauthorized data access, data manipulation, and full database compromise.
Critical Impact
Authenticated attackers can exploit this SQL Injection vulnerability to extract sensitive data, modify database contents, or escalate privileges within the Cyber Cafe Management System, potentially compromising all customer and business data.
Affected Products
- PHPGurukul Cyber Cafe Management System v1.0
Discovery Timeline
- 2026-01-15 - CVE-2025-70893 published to NVD
- 2026-01-22 - Last updated in NVD database
Technical Details for CVE-2025-70893
Vulnerability Analysis
This vulnerability is classified as CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The flaw exists in the adminprofile.php endpoint where user-controlled input from the adminname parameter is directly incorporated into SQL queries without proper sanitization or parameterization.
Time-based blind SQL injection is particularly insidious because it allows attackers to extract database information even when error messages are suppressed and no data is directly returned. By injecting conditional time delays into SQL statements, attackers can infer information about the database structure and contents based on response timing differences.
The attack requires low privileges (authenticated access) but can be executed remotely over the network without user interaction. Successful exploitation could result in complete compromise of data confidentiality, integrity, and availability within the affected database.
Root Cause
The root cause of this vulnerability is the lack of proper input validation and sanitization on the adminname parameter in the adminprofile.php script. The application directly concatenates user input into SQL queries instead of using prepared statements or parameterized queries. This fundamental security flaw allows attackers to break out of the intended SQL context and inject malicious SQL commands.
Attack Vector
The attack is conducted over the network against the adminprofile.php endpoint. An authenticated attacker can manipulate the adminname parameter to include SQL injection payloads containing time-delay functions such as SLEEP() in MySQL. By observing the response time, the attacker can extract data bit by bit, enumerate database schemas, and potentially access credentials stored in the database.
The attacker would craft malicious HTTP requests to the vulnerable endpoint, injecting SQL syntax that conditionally triggers time delays based on true/false conditions. This technique allows data exfiltration without visible error messages or direct output from the injected queries.
For detailed technical information about this vulnerability, refer to the GitHub CVE Repository for CVE-2025-70893.
Detection Methods for CVE-2025-70893
Indicators of Compromise
- Unusual response time patterns in requests to adminprofile.php, particularly delays in multiples of common sleep values (1s, 5s, 10s)
- HTTP requests containing SQL injection keywords in the adminname parameter such as SLEEP, BENCHMARK, WAITFOR, or pg_sleep
- Repeated requests to adminprofile.php with incrementing or binary-search pattern payloads
- Database query logs showing unexpected SLEEP() or time-delay functions being executed
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in request parameters
- Enable database query logging and monitor for execution of time-delay functions like SLEEP() or BENCHMARK()
- Deploy runtime application self-protection (RASP) solutions to detect SQL injection attempts at the application layer
- Review web server access logs for anomalous patterns targeting adminprofile.php with suspicious parameter values
Monitoring Recommendations
- Configure alerting for HTTP requests with response times exceeding normal thresholds, particularly for administrative endpoints
- Monitor for failed login attempts followed by successful access and subsequent suspicious queries
- Implement database activity monitoring to track unusual query patterns or privilege escalation attempts
- Set up log correlation to identify sequential requests that may indicate blind SQL injection enumeration
How to Mitigate CVE-2025-70893
Immediate Actions Required
- Restrict access to the adminprofile.php endpoint to trusted IP addresses or internal networks only
- Implement input validation to whitelist acceptable characters for the adminname parameter
- Deploy a Web Application Firewall with SQL injection detection rules as a temporary protective measure
- Review and audit all administrative accounts for signs of compromise
Patch Information
No official patch has been released by PHPGurukul at the time of publication. Organizations using this software should monitor the official PHPGurukul website for security updates. In the absence of an official fix, implementing the workarounds below is strongly recommended, or consider migrating to a more actively maintained alternative solution.
Workarounds
- Modify the adminprofile.php source code to use prepared statements with parameterized queries instead of string concatenation
- Implement server-side input validation to reject any adminname values containing SQL metacharacters
- Place the application behind a reverse proxy with ModSecurity or similar WAF capabilities to filter malicious requests
- Limit database user privileges for the application to only the minimum required operations
# Example ModSecurity rule to block SQL injection attempts
SecRule ARGS:adminname "@detectSQLi" \
"id:1001,\
phase:2,\
deny,\
status:403,\
log,\
msg:'SQL Injection Attempt Detected in adminname parameter',\
tag:'attack-sqli'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


