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
    • 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-2026-4976

CVE-2026-4976: Totolink LR350 Buffer Overflow Vulnerability

CVE-2026-4976 is a buffer overflow vulnerability in Totolink LR350 router affecting the setWiFiGuestCfg function. Attackers can exploit this remotely to compromise devices. This article covers technical details, affected versions, impact, and mitigation strategies.

Published: April 2, 2026

CVE-2026-4976 Overview

A buffer overflow vulnerability has been identified in Totolink LR350 firmware version 9.3.5u.6369_B20220309. This vulnerability exists in the setWiFiGuestCfg function located within the /cgi-bin/cstecgi.cgi file. By manipulating the ssid argument, an attacker can trigger a buffer overflow condition that may lead to arbitrary code execution or denial of service on the affected device.

Critical Impact

Remote attackers with low-privilege access can exploit this buffer overflow vulnerability to compromise the confidentiality, integrity, and availability of the affected Totolink LR350 router, potentially gaining full control of the device.

Affected Products

  • Totolink LR350 firmware version 9.3.5u.6369_B20220309
  • Potentially other Totolink LR350 firmware versions with the vulnerable setWiFiGuestCfg function

Discovery Timeline

  • 2026-03-27 - CVE-2026-4976 published to NVD
  • 2026-03-30 - Last updated in NVD database

Technical Details for CVE-2026-4976

Vulnerability Analysis

This vulnerability (CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer) affects the WiFi guest configuration functionality on Totolink LR350 routers. The setWiFiGuestCfg function fails to properly validate the length of user-supplied input in the ssid parameter before copying it into a fixed-size buffer. This classic buffer overflow condition allows an attacker to overwrite adjacent memory locations, potentially corrupting program state, injecting malicious code, or causing the device to crash.

The vulnerability is particularly concerning because it can be exploited remotely over the network. An authenticated attacker with low-level privileges can craft a malicious HTTP request to the /cgi-bin/cstecgi.cgi endpoint with an oversized ssid value, triggering the overflow condition.

Root Cause

The root cause of this vulnerability lies in the improper handling of user-supplied input in the setWiFiGuestCfg function. The function does not perform adequate bounds checking on the ssid argument before processing it, allowing data to exceed the allocated buffer space. This is a common programming error in embedded device firmware where memory constraints often lead to fixed-size buffers without corresponding input validation.

Attack Vector

The attack can be performed remotely over the network by an authenticated user with low privileges. The attacker sends a crafted HTTP request to the CGI endpoint /cgi-bin/cstecgi.cgi, invoking the setWiFiGuestCfg function with a maliciously crafted ssid parameter containing more data than the destination buffer can accommodate. This causes memory corruption that could lead to arbitrary code execution, privilege escalation, or denial of service.

The vulnerability requires no user interaction and has low attack complexity, making it a significant threat in environments where the router's management interface is accessible. For detailed technical analysis, refer to the Notion Configuration Guide documenting this vulnerability.

Detection Methods for CVE-2026-4976

Indicators of Compromise

  • Unexpected HTTP POST requests to /cgi-bin/cstecgi.cgi containing unusually long ssid parameter values
  • Router crashes or spontaneous reboots that may indicate exploitation attempts
  • Unusual network traffic patterns originating from or directed at the Totolink LR350 device
  • Modified WiFi guest configuration settings that were not authorized by administrators

Detection Strategies

  • Implement network intrusion detection rules to identify HTTP requests to /cgi-bin/cstecgi.cgi with ssid parameters exceeding normal length thresholds
  • Monitor router system logs for signs of memory corruption, crashes, or unexpected process terminations
  • Deploy web application firewall (WAF) rules to inspect and filter requests targeting the vulnerable CGI endpoint
  • Use SentinelOne Singularity to monitor network traffic and detect anomalous behavior patterns associated with router exploitation

Monitoring Recommendations

  • Enable verbose logging on the Totolink LR350 if available and review logs regularly for suspicious activity
  • Segment the network to limit exposure of the router's management interface
  • Implement baseline monitoring for normal router behavior to quickly identify deviations that may indicate compromise

How to Mitigate CVE-2026-4976

Immediate Actions Required

  • Restrict network access to the router's management interface to trusted IP addresses only
  • Disable remote management functionality if it is not required for operations
  • Place the Totolink LR350 behind a properly configured firewall that filters malicious requests
  • Monitor the TOTOLINK Official Website for firmware updates addressing this vulnerability

Patch Information

At the time of publication, no official patch has been confirmed by the vendor. Organizations should monitor Totolink's official channels for security updates. In the interim, apply the workarounds and compensating controls described below to reduce risk exposure.

Additional vulnerability details and tracking information can be found at VulDB ID #353863.

Workarounds

  • Restrict access to the CGI interface by implementing IP-based access control lists (ACLs) on the router or upstream firewall
  • Disable the WiFi guest network feature if it is not operationally required
  • Consider replacing the affected device with a router from a vendor with a more responsive security patch cycle
  • Implement network segmentation to isolate the vulnerable device from critical infrastructure
bash
# Example firewall rule to restrict access to management interface
# Restrict access to Totolink LR350 management interface
iptables -A INPUT -p tcp --dport 80 -s 192.168.1.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 80 -j DROP
iptables -A INPUT -p tcp --dport 443 -s 192.168.1.0/24 -j ACCEPT
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
  • TypeBuffer Overflow

  • Vendor/TechTotolink

  • SeverityHIGH

  • CVSS Score7.4

  • EPSS Probability0.09%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-119
  • Technical References
  • Notion Configuration Guide

  • VulDB CTI ID #353863

  • VulDB ID #353863

  • VulDB Submission #778274

  • TOTOLINK Official Website
  • Related CVEs
  • CVE-2026-26732: TOTOLINK A3002RU Buffer Overflow Flaw

  • CVE-2026-26731: TOTOLINK A3002RU Buffer Overflow Flaw

  • CVE-2026-26736: TOTOLINK A3002RU Buffer Overflow Flaw

  • CVE-2025-67189: TOTOLINK A950RG Buffer Overflow Flaw
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