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CVE Vulnerability Database
Vulnerability Database/CVE-2024-7732

CVE-2024-7732: Secom Dr.id Attendance System SQLi Flaw

CVE-2024-7732 is a SQL injection vulnerability in Secom Dr.id Attendance System allowing unauthenticated attackers to read, modify, and delete database contents. This article covers technical details, impact, and mitigation.

Published: April 8, 2026

CVE-2024-7732 Overview

CVE-2024-7732 is a critical SQL Injection vulnerability affecting the SECOM Dr.ID Access Control System. The vulnerability exists due to improper validation of a specific page parameter, allowing unauthenticated remote attackers to inject SQL commands to read, modify, and delete database contents. This represents a severe security risk to organizations using this access control solution, as it could lead to complete compromise of the system's database.

Critical Impact

Unauthenticated attackers can remotely execute arbitrary SQL commands to read, modify, and delete sensitive database contents, potentially compromising employee attendance records, access credentials, and system configurations.

Affected Products

  • SECOM Dr.ID Attendance System (all versions)
  • SECOM Dr.ID Access Control System

Discovery Timeline

  • 2024-08-14 - CVE-2024-7732 published to NVD
  • 2024-10-03 - Last updated in NVD database

Technical Details for CVE-2024-7732

Vulnerability Analysis

This vulnerability is classified as CWE-89 (SQL Injection), a well-known and highly dangerous input validation flaw. The SECOM Dr.ID Access Control System fails to properly sanitize user-supplied input in a specific page parameter before incorporating it into SQL queries. This allows attackers to manipulate the query structure and execute arbitrary SQL commands against the backend database.

The attack can be executed remotely over the network without requiring any authentication or user interaction, making it particularly dangerous. Successful exploitation grants attackers full control over the database, enabling them to extract sensitive information, modify attendance records, delete critical data, or potentially escalate to further system compromise.

Root Cause

The root cause of CVE-2024-7732 is the lack of proper input validation and parameterized queries in the affected page parameter handler. The application directly concatenates user-supplied input into SQL queries without proper sanitization or the use of prepared statements, creating a classic SQL injection attack surface.

Attack Vector

The attack vector is network-based and requires no authentication. An attacker can craft malicious HTTP requests containing SQL injection payloads in the vulnerable page parameter. Since the system does not properly validate or sanitize this input, the malicious SQL commands are executed directly against the database with the privileges of the application's database user.

The vulnerability manifests when processing user input in the page parameter. Attackers can craft requests containing SQL metacharacters and commands that, when processed by the vulnerable code, alter the intended query behavior. For detailed technical information, refer to the TW-CERT Security Advisory.

Detection Methods for CVE-2024-7732

Indicators of Compromise

  • Unusual database queries containing SQL injection patterns such as UNION SELECT, OR 1=1, or time-based blind injection commands
  • Anomalous access patterns to the Dr.ID system from unknown or suspicious IP addresses
  • Database logs showing unauthorized read, modify, or delete operations
  • Unexpected changes to attendance records or access control configurations

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns targeting the Dr.ID system
  • Implement database activity monitoring to identify suspicious query patterns and unauthorized data access
  • Review web server access logs for requests containing SQL injection signatures in page parameters
  • Configure SentinelOne Singularity to monitor for suspicious process behavior and network communications from systems hosting the Dr.ID application

Monitoring Recommendations

  • Enable detailed logging on the Dr.ID Access Control System to capture all incoming requests and parameters
  • Implement real-time alerting for database queries that deviate from expected patterns
  • Monitor network traffic to and from the Dr.ID system for signs of data exfiltration
  • Establish baseline activity metrics to detect anomalous behavior indicative of exploitation attempts

How to Mitigate CVE-2024-7732

Immediate Actions Required

  • Restrict network access to the SECOM Dr.ID Access Control System to trusted IP ranges only
  • Implement a Web Application Firewall (WAF) with SQL injection protection rules in front of the vulnerable system
  • Review database logs for signs of exploitation and assess potential data breach impact
  • Consider temporarily taking the system offline if active exploitation is suspected until a patch is available

Patch Information

Organizations should contact SECOM directly for patch availability and update instructions. Monitor the TW-CERT Security Advisory for updates regarding official patches and remediation guidance. Apply security updates as soon as they become available from the vendor.

Workarounds

  • Implement network segmentation to isolate the Dr.ID system from untrusted networks
  • Deploy a reverse proxy with input validation capabilities to filter malicious requests before they reach the application
  • Apply principle of least privilege to the database account used by the application to minimize potential damage from SQL injection
  • Enable database auditing and set up alerts for sensitive table access to detect exploitation attempts
bash
# Example: Restrict access to Dr.ID system using iptables
# Allow only trusted management IP range
iptables -A INPUT -p tcp --dport 80 -s 192.168.1.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 443 -s 192.168.1.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 80 -j DROP
iptables -A INPUT -p tcp --dport 443 -j DROP

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechSecom Dr.id Attendance System

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability1.33%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-89
  • Technical References
  • TW-CERT Security Advisory

  • TW-CERT Incident Report
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