CVE-2023-27667

9.8 CRITICAL

📋 TL;DR

Auto Dealer Management System v1.0 contains a SQL injection vulnerability that allows attackers to execute arbitrary SQL commands through user input. This affects all deployments of this specific software version, potentially compromising database integrity and confidentiality.

💻 Affected Systems

Products:
  • Auto Dealer Management System
Versions: v1.0
Operating Systems: Any OS running PHP
Default Config Vulnerable: ⚠️ Yes
Notes: Affects all installations of v1.0 regardless of configuration.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Complete database compromise including data theft, modification, deletion, or potential remote code execution if database functions allow it.

🟠

Likely Case

Unauthorized data access, privilege escalation, and potential authentication bypass leading to system compromise.

🟢

If Mitigated

Limited impact with proper input validation and parameterized queries in place.

🌐 Internet-Facing: HIGH
🏢 Internal Only: HIGH

🎯 Exploit Status

Public PoC: ⚠️ Yes
Weaponized: LIKELY
Unauthenticated Exploit: ⚠️ Yes
Complexity: LOW

SQL injection vulnerabilities are commonly exploited with readily available tools.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Unknown

Vendor Advisory: None found

Restart Required: No

Instructions:

No official patch available. Consider migrating to a supported version or implementing workarounds.

🔧 Temporary Workarounds

Implement Input Validation

all

Add server-side validation to sanitize all user inputs before processing SQL queries.

Use Parameterized Queries

all

Replace dynamic SQL queries with prepared statements using parameterized queries.

🧯 If You Can't Patch

  • Implement WAF rules to block SQL injection patterns
  • Restrict database user permissions to minimum required

🔍 How to Verify

Check if Vulnerable:

Test user input fields with SQL injection payloads like ' OR '1'='1

Check Version:

Check software version in admin panel or configuration files.

Verify Fix Applied:

Verify that parameterized queries are implemented and input validation rejects malicious payloads.

📡 Detection & Monitoring

Log Indicators:

  • Unusual SQL error messages in logs
  • Multiple failed login attempts with SQL-like patterns

Network Indicators:

  • HTTP requests containing SQL keywords in parameters

SIEM Query:

web_requests WHERE url_parameters CONTAINS 'UNION' OR 'SELECT' OR 'OR 1=1'

🔗 References

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