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-2025-5105

CVE-2025-5105: TOZED ZLT W51 Use-After-Free Vulnerability

CVE-2025-5105 is a critical use-after-free vulnerability in TOZED ZLT W51 devices that enables remote exploitation via Service Port 7777. This article covers technical details, affected versions, impact, and mitigation.

Published: April 22, 2026

CVE-2025-5105 Overview

A critical vulnerability has been identified in TOZED ZLT W51 devices running firmware versions up to 1.4.2. The vulnerability affects the Service Port 7777 component and is classified as an improper clearing of heap memory before release (CWE-244). This memory safety issue can be exploited remotely without authentication, potentially allowing attackers to access sensitive information that remains in memory after deallocation.

Critical Impact

Remote attackers can exploit this vulnerability over the network to potentially access sensitive data remnants in heap memory, compromise device confidentiality, and affect system integrity on vulnerable TOZED ZLT W51 devices.

Affected Products

  • TOZED ZLT W51 firmware version 1.4.2 and earlier
  • TOZED ZLT W51 devices with Service Port 7777 exposed
  • Network-accessible TOZED ZLT W51 router deployments

Discovery Timeline

  • 2025-05-23 - CVE-2025-5105 published to NVD
  • 2026-04-15 - Last updated in NVD database

Technical Details for CVE-2025-5105

Vulnerability Analysis

This vulnerability stems from improper memory management practices within the TOZED ZLT W51 firmware. When heap memory is allocated and subsequently freed, the device fails to properly sanitize or clear the memory contents before releasing it back to the memory pool. This creates a situation where sensitive data—such as authentication credentials, session tokens, or other confidential information—may persist in freed memory regions.

The vulnerability is accessible via Service Port 7777, which suggests this is a network service that handles some form of device management or communication functionality. The lack of proper memory clearing before release means that subsequent memory allocations could potentially expose previously stored sensitive data to unauthorized parties.

Root Cause

The root cause is classified under CWE-244 (Improper Clearing of Heap Memory Before Release). This weakness occurs when the firmware fails to properly overwrite or sanitize heap memory contents before calling free() or equivalent memory deallocation functions. In embedded systems like the ZLT W51, this type of vulnerability is particularly concerning because memory resources are often reused quickly, and sensitive data like WiFi credentials, administrative passwords, or encryption keys may be exposed.

Attack Vector

The attack can be launched remotely over the network by targeting Service Port 7777 on vulnerable devices. An attacker with network access to the device can potentially:

  1. Send specially crafted requests to the service on port 7777
  2. Trigger memory allocation and deallocation sequences
  3. Attempt to read memory regions that contain residual sensitive data
  4. Extract confidential information that was not properly cleared from heap memory

The vulnerability requires no authentication and no user interaction, making it particularly dangerous for devices exposed to untrusted networks.

The exploitation mechanism involves sending requests to Service Port 7777 that trigger memory operations, followed by attempts to read the uncleared memory contents. Technical details and proof-of-concept code are available in the LeakyTozed GitHub Repository. The repository includes a specific proof-of-concept demonstration that illustrates the memory disclosure attack vector.

Detection Methods for CVE-2025-5105

Indicators of Compromise

  • Unusual network traffic patterns directed at port 7777 on TOZED ZLT W51 devices
  • Unexpected connection attempts from external IP addresses to Service Port 7777
  • Anomalous memory consumption or behavior patterns on affected devices
  • Evidence of data exfiltration attempts following port 7777 service interactions

Detection Strategies

  • Deploy network intrusion detection rules to monitor traffic to port 7777 on known TOZED device IP addresses
  • Implement firewall logging for all connections to Service Port 7777
  • Use network segmentation to isolate IoT devices and monitor cross-segment traffic
  • Configure SIEM alerts for repeated connection attempts to device management ports

Monitoring Recommendations

  • Establish baseline network behavior for TOZED ZLT W51 devices and alert on deviations
  • Monitor for reconnaissance scanning activity targeting port 7777 across the network
  • Implement continuous vulnerability scanning for embedded devices and firmware versions
  • Review device access logs periodically for unauthorized connection attempts

How to Mitigate CVE-2025-5105

Immediate Actions Required

  • Block external access to Service Port 7777 on all TOZED ZLT W51 devices using firewall rules
  • Isolate affected devices from untrusted networks and implement network segmentation
  • Conduct an inventory of all TOZED ZLT W51 devices running firmware version 1.4.2 or earlier
  • Monitor for vendor firmware updates and apply patches as soon as they become available
  • Consider replacing vulnerable devices if no firmware update is forthcoming from the vendor

Patch Information

The vendor (TOZED) was contacted regarding this vulnerability but did not respond to the disclosure. As of the last update on 2026-04-15, no official patch has been released. Organizations should monitor the vendor's official channels and security bulletins such as VulDB entry #310082 for any future updates regarding patches or firmware updates.

Workarounds

  • Implement strict firewall rules to block all inbound connections to port 7777 from untrusted networks
  • Place TOZED ZLT W51 devices behind a VPN or secure gateway requiring authentication
  • Disable Service Port 7777 if the functionality is not required for device operation
  • Use network access control (NAC) to restrict which hosts can communicate with vulnerable devices
bash
# Example iptables rule to block external access to port 7777
iptables -A INPUT -p tcp --dport 7777 -s ! 192.168.1.0/24 -j DROP
iptables -A INPUT -p udp --dport 7777 -s ! 192.168.1.0/24 -j DROP

# Restrict access to only management VLAN
iptables -A INPUT -p tcp --dport 7777 -s 10.0.100.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 7777 -j DROP

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

  • Vulnerability Details
  • TypeUse After Free

  • Vendor/TechTozed

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.34%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/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
  • AvailabilityLow
  • CWE References
  • CWE-244
  • Technical References
  • GitHub PoC Repository

  • GitHub PoC #41

  • VulDB #310082 (CTI)

  • VulDB #310082

  • VulDB Submission #568495
  • Latest CVEs
  • CVE-2026-46333: Linux Kernel Privilege Escalation Flaw

  • CVE-2026-2586: Eclipse Glassfish RCE Vulnerability

  • CVE-2026-2587: Eclipse Glassfish RCE Vulnerability

  • CVE-2026-45255: FreeBSD bsdinstall/bsdconfig RCE Flaw
Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today 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