The SentinelOne Annual Threat Report - A Defenders Guide from the FrontlinesThe SentinelOne Annual Threat ReportGet the Report
Experiencing a Breach?Blog
Get StartedContact Us
SentinelOne
  • Platform
    Platform Overview
    • Singularity Platform
      Welcome to Integrated Enterprise Security
    • AI for Security
      Leading the Way in AI-Powered Security Solutions
    • Securing AI
      Accelerate AI Adoption with Secure AI Tools, Apps, and Agents.
    • How It Works
      The Singularity XDR Difference
    • Singularity Marketplace
      One-Click Integrations to Unlock the Power of XDR
    • Pricing & Packaging
      Comparisons and Guidance at a Glance
    Data & AI
    • Purple AI
      Accelerate SecOps with Generative AI
    • Singularity Hyperautomation
      Easily Automate Security Processes
    • AI-SIEM
      The AI SIEM for the Autonomous SOC
    • AI Data Pipelines
      Security Data Pipeline for AI SIEM and Data Optimization
    • Singularity Data Lake
      AI-Powered, Unified Data Lake
    • Singularity Data Lake for Log Analytics
      Seamlessly Ingest Data from On-Prem, Cloud or Hybrid Environments
    Endpoint Security
    • Singularity Endpoint
      Autonomous Prevention, Detection, and Response
    • Singularity XDR
      Native & Open Protection, Detection, and Response
    • Singularity RemoteOps Forensics
      Orchestrate Forensics at Scale
    • Singularity Threat Intelligence
      Comprehensive Adversary Intelligence
    • Singularity Vulnerability Management
      Application & OS Vulnerability Management
    • Singularity Identity
      Identity Threat Detection and Response
    Cloud Security
    • Singularity Cloud Security
      Block Attacks with an AI-Powered CNAPP
    • Singularity Cloud Native Security
      Secure Cloud and Development Resources
    • Singularity Cloud Workload Security
      Real-Time Cloud Workload Protection Platform
    • Singularity Cloud Data Security
      AI-Powered Threat Detection for Cloud Storage
    • Singularity Cloud Security Posture Management
      Detect and Remediate Cloud Misconfigurations
    Securing AI
    • Prompt Security
      Secure AI Tools Across Your Enterprise
  • Why SentinelOne?
    Why SentinelOne?
    • Why SentinelOne?
      Cybersecurity Built for What’s Next
    • Our Customers
      Trusted by the World’s Leading Enterprises
    • Industry Recognition
      Tested and Proven by the Experts
    • About Us
      The Industry Leader in Autonomous Cybersecurity
    Compare SentinelOne
    • Arctic Wolf
    • Broadcom
    • CrowdStrike
    • Cybereason
    • Microsoft
    • Palo Alto Networks
    • Sophos
    • Splunk
    • Trellix
    • Trend Micro
    • Wiz
    Verticals
    • Energy
    • Federal Government
    • Finance
    • Healthcare
    • Higher Education
    • K-12 Education
    • Manufacturing
    • Retail
    • State and Local Government
  • Services
    Managed Services
    • Managed Services Overview
      Wayfinder Threat Detection & Response
    • Threat Hunting
      World-Class Expertise and Threat Intelligence
    • Managed Detection & Response
      24/7/365 Expert MDR Across Your Entire Environment
    • Incident Readiness & Response
      DFIR, Breach Readiness, & Compromise Assessments
    Support, Deployment, & Health
    • Technical Account Management
      Customer Success with Personalized Service
    • SentinelOne GO
      Guided Onboarding & Deployment Advisory
    • SentinelOne University
      Live and On-Demand Training
    • Services Overview
      Comprehensive Solutions for Seamless Security Operations
    • SentinelOne Community
      Community Login
  • Partners
    Our Network
    • MSSP Partners
      Succeed Faster with SentinelOne
    • Singularity Marketplace
      Extend the Power of S1 Technology
    • Cyber Risk Partners
      Enlist Pro Response and Advisory Teams
    • Technology Alliances
      Integrated, Enterprise-Scale Solutions
    • SentinelOne for AWS
      Hosted in AWS Regions Around the World
    • Channel Partners
      Deliver the Right Solutions, Together
    • SentinelOne for Google Cloud
      Unified, Autonomous Security Giving Defenders the Advantage at Global Scale
    • Partner Locator
      Your Go-to Source for Our Top Partners in Your Region
    Partner Portal→
  • Resources
    Resource Center
    • Case Studies
    • Data Sheets
    • eBooks
    • Reports
    • Videos
    • Webinars
    • Whitepapers
    • Events
    View All Resources→
    Blog
    • Feature Spotlight
    • For CISO/CIO
    • From the Front Lines
    • Identity
    • Cloud
    • macOS
    • SentinelOne Blog
    Blog→
    Tech Resources
    • SentinelLABS
    • Ransomware Anthology
    • Cybersecurity 101
  • About
    About SentinelOne
    • About SentinelOne
      The Industry Leader in Cybersecurity
    • Investor Relations
      Financial Information & Events
    • SentinelLABS
      Threat Research for the Modern Threat Hunter
    • Careers
      The Latest Job Opportunities
    • Press & News
      Company Announcements
    • Cybersecurity Blog
      The Latest Cybersecurity Threats, News, & More
    • FAQ
      Get Answers to Our Most Frequently Asked Questions
    • DataSet
      The Live Data Platform
    • S Foundation
      Securing a Safer Future for All
    • S Ventures
      Investing in the Next Generation of Security, Data and AI
  • Pricing
Get StartedContact Us
CVE Vulnerability Database
Vulnerability Database/CVE-2024-0574

CVE-2024-0574: Totolink LR1200GB Buffer Overflow Flaw

CVE-2024-0574 is a critical stack-based buffer overflow in Totolink LR1200GB firmware that allows remote attackers to exploit the setParentalRules function. This article covers technical details, affected versions, and mitigation.

Published: April 8, 2026

CVE-2024-0574 Overview

A critical stack-based buffer overflow vulnerability has been identified in the Totolink LR1200GB router firmware version 9.1.0u.6619_B20230130. The vulnerability exists in the setParentalRules function within the /cgi-bin/cstecgi.cgi file, where improper handling of the sTime argument allows remote attackers to overflow the stack buffer and potentially execute arbitrary code on the affected device.

Critical Impact

This vulnerability enables unauthenticated remote attackers to exploit a stack-based buffer overflow, potentially leading to complete device compromise, arbitrary code execution, and full control over the affected router.

Affected Products

  • Totolink LR1200GB Firmware version 9.1.0u.6619_B20230130
  • Totolink LR1200GB Hardware

Discovery Timeline

  • January 16, 2024 - CVE-2024-0574 published to NVD
  • November 21, 2024 - Last updated in NVD database

Technical Details for CVE-2024-0574

Vulnerability Analysis

This vulnerability is classified as CWE-121 (Stack-based Buffer Overflow), a memory corruption flaw that occurs when user-controlled data exceeds the allocated buffer size on the stack. The vulnerable setParentalRules function in the CGI binary fails to properly validate the length of the sTime parameter before copying it into a fixed-size stack buffer.

When a specially crafted request containing an oversized sTime value is sent to the /cgi-bin/cstecgi.cgi endpoint, the function copies the input without boundary checking, causing adjacent stack memory to be overwritten. This can corrupt the return address and other critical stack data, enabling an attacker to redirect program execution to malicious code.

The exploit has been publicly disclosed, and the vendor (Totolink) was contacted about this vulnerability but did not respond. This lack of vendor response increases the risk profile for organizations using affected devices.

Root Cause

The root cause of this vulnerability is insufficient input validation in the setParentalRules function. The firmware fails to verify that the sTime argument length does not exceed the destination buffer size before performing the copy operation. This classic programming error allows attackers to supply arbitrarily long input strings that overflow the stack buffer.

Attack Vector

The attack can be launched remotely over the network without any authentication or user interaction. An attacker sends a malicious HTTP request to the /cgi-bin/cstecgi.cgi endpoint with an oversized sTime parameter value targeting the setParentalRules function. The overflow corrupts the stack frame, potentially allowing the attacker to overwrite the return address and hijack program execution.

The network-accessible nature of the CGI interface combined with the lack of authentication requirements makes this vulnerability particularly dangerous for internet-exposed Totolink LR1200GB routers.

Detection Methods for CVE-2024-0574

Indicators of Compromise

  • Unusual HTTP POST requests to /cgi-bin/cstecgi.cgi containing abnormally long sTime parameter values
  • Router crashes, reboots, or unexpected behavior following network activity
  • Unexpected outbound network connections from the router to unknown external hosts
  • Modified router configuration or new administrative accounts created without authorization

Detection Strategies

  • Deploy network intrusion detection rules to identify HTTP requests to /cgi-bin/cstecgi.cgi with sTime parameters exceeding normal length thresholds
  • Monitor web server access logs for suspicious CGI requests containing buffer overflow patterns or unusually long parameter values
  • Implement deep packet inspection at network boundaries to detect exploitation attempts targeting Totolink devices
  • Use asset inventory tools to identify all Totolink LR1200GB routers running the vulnerable firmware version 9.1.0u.6619_B20230130

Monitoring Recommendations

  • Enable comprehensive logging on network firewalls and monitor traffic to and from Totolink router management interfaces
  • Set up alerts for abnormal traffic patterns or connection attempts to router administration ports
  • Regularly review router system logs for crash events or unexpected restarts that may indicate exploitation attempts
  • Implement network segmentation to isolate IoT and network devices from critical infrastructure

How to Mitigate CVE-2024-0574

Immediate Actions Required

  • Restrict network access to the router management interface by implementing firewall rules to allow only trusted IP addresses
  • Disable remote management functionality if not required and ensure the device is not directly exposed to the internet
  • Consider replacing the affected Totolink LR1200GB device with an alternative router from a vendor with active security support
  • Monitor the device closely for signs of compromise until a permanent mitigation can be implemented

Patch Information

At the time of publication, no official patch is available from Totolink. The vendor was contacted about this vulnerability but did not respond. Organizations should monitor the GitHub Vulnerability Report and VulDB entry for updates on any vendor response or community-developed mitigations.

Workarounds

  • Implement strict access control lists (ACLs) on upstream network devices to block external access to the router's CGI interface on port 80/443
  • Place the router behind a properly configured firewall that filters incoming requests to /cgi-bin/cstecgi.cgi
  • Deploy a web application firewall (WAF) rule to detect and block requests with oversized sTime parameters
  • If possible, disable the parental controls feature that uses the vulnerable setParentalRules function until a patch becomes available
bash
# Example firewall rule to restrict access to router management interface
# Block external access to CGI endpoints on the router
iptables -A FORWARD -d <ROUTER_IP> -p tcp --dport 80 -j DROP
iptables -A FORWARD -d <ROUTER_IP> -p tcp --dport 443 -j DROP

# Allow only trusted management subnet
iptables -I FORWARD -s 192.168.1.0/24 -d <ROUTER_IP> -p tcp --dport 80 -j ACCEPT

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechTotolink

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.43%

  • 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-121
  • Technical References
  • GitHub Vulnerability Report

  • VulDB CTI ID #250790

  • VulDB #250790
  • Related CVEs
  • CVE-2026-6194: Totolink A3002MU Buffer Overflow Flaw

  • CVE-2026-6157: Totolink A800R Buffer Overflow Vulnerability

  • CVE-2026-6168: TOTOLINK A7000R Buffer Overflow Flaw

  • CVE-2026-4976: Totolink LR350 Buffer Overflow Vulnerability
Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the World’s Most Advanced Cybersecurity Platform

See how our intelligent, autonomous cybersecurity platform can protect your organization now and into the future.

Try SentinelOne
  • Get Started
  • Get a Demo
  • Product Tour
  • Why SentinelOne
  • Pricing & Packaging
  • FAQ
  • Contact
  • Contact Us
  • Customer Support
  • SentinelOne Status
  • Language
  • Platform
  • Singularity Platform
  • Singularity Endpoint
  • Singularity Cloud
  • Singularity AI-SIEM
  • Singularity Identity
  • Singularity Marketplace
  • Purple AI
  • Services
  • Wayfinder TDR
  • SentinelOne GO
  • Technical Account Management
  • Support Services
  • Verticals
  • Energy
  • Federal Government
  • Finance
  • Healthcare
  • Higher Education
  • K-12 Education
  • Manufacturing
  • Retail
  • State and Local Government
  • Cybersecurity for SMB
  • Resources
  • Blog
  • Labs
  • Case Studies
  • Videos
  • Product Tours
  • Events
  • Cybersecurity 101
  • eBooks
  • Webinars
  • Whitepapers
  • Press
  • News
  • Ransomware Anthology
  • Company
  • About Us
  • Our Customers
  • Careers
  • Partners
  • Legal & Compliance
  • Security & Compliance
  • Investor Relations
  • S Foundation
  • S Ventures

©2026 SentinelOne, All Rights Reserved.

Privacy Notice Terms of Use

English