Company Details
mist-systems
131
27,107
51125
mist.com
0
MIS_2628155
In-progress

Mist Systems Company CyberSecurity Posture
mist.comMist built the first AI-driven wireless platform, designed specifically for the Smart Device Era. The Mist Learning Wireless LAN makes Wi-Fi predictable, reliable and measurable by providing unprecedented visibility into the user experience and by replacing time consuming manual IT tasks with proactive automation. In addition, Mist is the first vendor to bring enterprise-grade Wi-Fi, BLE and IoT together to deliver personalized, location-based wireless services without requiring battery-powered beacons. All operations are managed via Mist’s modern cloud architecture for maximum scalability, agility and performance. The Mist team consists of leading experts in wireless, machine learning and cloud, who are responsible for building the largest and most advanced networks in the world. Founded in 2014, the company is based in Cupertino, CA and funded by top investors, including Lightspeed Venture Partners, Norwest Venture Partners, GV (formerly Google Ventures) and Cisco Investments. For more information, visit www.mist.com.
Company Details
mist-systems
131
27,107
51125
mist.com
0
MIS_2628155
In-progress
Between 750 and 799

Mist Systems Global Score (TPRM)XXXX

Description: Juniper Networks reported an incident on December 11, 2024, where multiple customers experienced suspicious behavior on their Session Smart Network (SSN) platforms. These systems were infected with Mirai malware, which employed the devices in DDoS attacks, causing network disruptions. The malware exploited devices still using default passwords, facilitating unauthorized access and remote command execution. Juniper Networks outlined that signs of Mirai's presence included port scanning, failed SSH logins, spikes in outbound traffic, and erratic behavior. The company recommended enhancing security by changing default credentials, monitoring logs, using firewalls and IDS/IPS, and keeping firmware updated to mitigate the risk of future attacks.
Description: Mandiant researchers discovered custom backdoors deployed by China-linked espionage group UNC3886 on outdated Juniper Networks Junos OS routers. These TINYSHELL-based backdoors aimed for long-term persistence and stealth, targeting internal networking infrastructure and ISP routers. The backdoors imitated legitimate binaries and bypassed Junos OS security mechanisms, which could potentially lead to privileged access abuse, network authentication service compromises, and further covert operations within affected systems. The incident highlights significant vulnerabilities within critical networking devices and represents a strategic threat to the defense, technology, and telecommunications sectors.
Description: On December 11, 2024, Juniper Networks identified a security breach where multiple customers' Session Smart Router (SSR) products running default passwords were compromised. The attackers leveraged the devices to conduct Distributed Denial-of-Service (DDoS) attacks as part of the Mirai botnet's activity. This security event resulted in unusual network behavior, including port scanning, failed SSH logins, spikes in traffic, and connections from known malicious IP addresses. Juniper Networks has issued recommendations to customers for strengthening security practices and mitigating future risks. This incident underscores the importance of strong password policies and regular security monitoring to prevent exploitation of network devices. No data leaks or critical threats to personal, financial, or regional economic security were reported.
Description: On December 11, 2024, Juniper Networks reported that a Mirai botnet was targeting Session Smart Router (SSR) products by exploiting devices with default passwords. The malicious actors compromised the SSR devices and used them to launch DDoS attacks against other devices. The systems infected with the Mirai malware displayed signs of unusual activity such as port scanning, failed SSH logins, spikes in outbound traffic, and connections from malevolent IP addresses. Juniper Networks urged customers to bolster security by changing default credentials, using strong passwords, monitoring access logs, utilizing firewalls and IDS/IPS, and updating firmware to mitigate against such threats.
Description: Juniper Networks issued an alert regarding a Mirai botnet attack on Session Smart Router (SSR) devices with default credentials. The attack, detected on December 11, 2024, compromised SSR products and facilitated DDoS attacks using the infected devices. The Mirai botnet exploited default passwords to enable remote command execution and initiate various forms of malicious activity, particularly DDoS attacks. Unusual port scans, frequent SSH login failures, traffic spikes, and erratic device behaviors were indicators of the infection. The incident necessitated a reinforcement of security measures, such as updating default credentials, strengthening passwords, regular monitoring of access logs, deployment of firewalls, and up-to-date firmware to mitigate further risks.
Description: In mid-2024, China-linked cyber espionage group UNC3886 targeted outdated Juniper Networks Junos OS MX routers with custom backdoors. The deployment of TINYSHELL-based backdoors, which allowed for stealthy, persistent access, showed a sophisticated understanding of system internals and posed a significant threat. This attack rendered the organization vulnerable to long-term espionage activities, primarily affecting the defense, technology, and telecommunications sectors in the US and Asia. The security incident not only undermined the integrity of Juniper Networks' devices but also put sensitive customer and employee data at risk.


No incidents recorded for Mist Systems in 2025.
No incidents recorded for Mist Systems in 2025.
No incidents recorded for Mist Systems in 2025.
Mist Systems cyber incidents detection timeline including parent company and subsidiaries

Mist built the first AI-driven wireless platform, designed specifically for the Smart Device Era. The Mist Learning Wireless LAN makes Wi-Fi predictable, reliable and measurable by providing unprecedented visibility into the user experience and by replacing time consuming manual IT tasks with proactive automation. In addition, Mist is the first vendor to bring enterprise-grade Wi-Fi, BLE and IoT together to deliver personalized, location-based wireless services without requiring battery-powered beacons. All operations are managed via Mist’s modern cloud architecture for maximum scalability, agility and performance. The Mist team consists of leading experts in wireless, machine learning and cloud, who are responsible for building the largest and most advanced networks in the world. Founded in 2014, the company is based in Cupertino, CA and funded by top investors, including Lightspeed Venture Partners, Norwest Venture Partners, GV (formerly Google Ventures) and Cisco Investments. For more information, visit www.mist.com.

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Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
The official website of Mist Systems is http://www.mist.com.
According to Rankiteo, Mist Systems’s AI-generated cybersecurity score is 753, reflecting their Fair security posture.
According to Rankiteo, Mist Systems currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
According to Rankiteo, Mist Systems is not certified under SOC 2 Type 1.
According to Rankiteo, Mist Systems does not hold a SOC 2 Type 2 certification.
According to Rankiteo, Mist Systems is not listed as GDPR compliant.
According to Rankiteo, Mist Systems does not currently maintain PCI DSS compliance.
According to Rankiteo, Mist Systems is not compliant with HIPAA regulations.
According to Rankiteo,Mist Systems is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Mist Systems operates primarily in the Computer Networking Products industry.
Mist Systems employs approximately 131 people worldwide.
Mist Systems presently has no subsidiaries across any sectors.
Mist Systems’s official LinkedIn profile has approximately 27,107 followers.
Mist Systems is classified under the NAICS code 51125, which corresponds to Software Publishers.
Yes, Mist Systems has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/mist-systems.
Yes, Mist Systems maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/mist-systems.
As of November 29, 2025, Rankiteo reports that Mist Systems has experienced 6 cybersecurity incidents.
Mist Systems has an estimated 949 peer or competitor companies worldwide.
Incident Types: The types of cybersecurity incidents that have occurred include Breach, Ransomware, Cyber Attack and Vulnerability.
Detection and Response: The company detects and responds to cybersecurity incidents through an remediation measures with change default credentials, remediation measures with monitor logs, remediation measures with use firewalls and ids/ips, remediation measures with keep firmware updated, and containment measures with changing default credentials, using strong passwords, monitoring access logs, utilizing firewalls and ids/ips, updating firmware, and remediation measures with strengthening security practices, remediation measures with mitigating future risks, and communication strategy with issued recommendations to customers, and enhanced monitoring with regular security monitoring, and containment measures with updating default credentials, containment measures with strengthening passwords, containment measures with regular monitoring of access logs, containment measures with deployment of firewalls, containment measures with up-to-date firmware..
Title: Mirai Malware Infection on Juniper Networks SSN Platforms
Description: Juniper Networks reported an incident on December 11, 2024, where multiple customers experienced suspicious behavior on their Session Smart Network (SSN) platforms. These systems were infected with Mirai malware, which employed the devices in DDoS attacks, causing network disruptions. The malware exploited devices still using default passwords, facilitating unauthorized access and remote command execution. Juniper Networks outlined that signs of Mirai's presence included port scanning, failed SSH logins, spikes in outbound traffic, and erratic behavior. The company recommended enhancing security by changing default credentials, monitoring logs, using firewalls and IDS/IPS, and keeping firmware updated to mitigate the risk of future attacks.
Date Detected: December 11, 2024
Type: Malware Infection
Attack Vector: Unauthorized Access and Remote Command Execution
Vulnerability Exploited: Default Passwords
Motivation: DDoS Attacks
Title: Mirai Botnet Targeting Juniper Networks SSR Products
Description: On December 11, 2024, Juniper Networks reported that a Mirai botnet was targeting Session Smart Router (SSR) products by exploiting devices with default passwords. The malicious actors compromised the SSR devices and used them to launch DDoS attacks against other devices. The systems infected with the Mirai malware displayed signs of unusual activity such as port scanning, failed SSH logins, spikes in outbound traffic, and connections from malevolent IP addresses. Juniper Networks urged customers to bolster security by changing default credentials, using strong passwords, monitoring access logs, utilizing firewalls and IDS/IPS, and updating firmware to mitigate against such threats.
Date Detected: 2024-12-11
Date Publicly Disclosed: 2024-12-11
Type: DDoS Attack
Attack Vector: Default Passwords
Vulnerability Exploited: Default Passwords
Threat Actor: Mirai Botnet
Motivation: DDoS Attacks
Title: Juniper Networks SSR Compromise
Description: On December 11, 2024, Juniper Networks identified a security breach where multiple customers' Session Smart Router (SSR) products running default passwords were compromised. The attackers leveraged the devices to conduct Distributed Denial-of-Service (DDoS) attacks as part of the Mirai botnet's activity. This security event resulted in unusual network behavior, including port scanning, failed SSH logins, spikes in traffic, and connections from known malicious IP addresses. Juniper Networks has issued recommendations to customers for strengthening security practices and mitigating future risks. This incident underscores the importance of strong password policies and regular security monitoring to prevent exploitation of network devices. No data leaks or critical threats to personal, financial, or regional economic security were reported.
Date Detected: 2024-12-11
Type: DDoS Attack
Attack Vector: Default Passwords
Vulnerability Exploited: Weak Password Policies
Threat Actor: Mirai Botnet
Motivation: Conduct DDoS Attacks
Title: Mirai Botnet Attack on Juniper Networks SSR Devices
Description: Juniper Networks issued an alert regarding a Mirai botnet attack on Session Smart Router (SSR) devices with default credentials. The attack, detected on December 11, 2024, compromised SSR products and facilitated DDoS attacks using the infected devices. The Mirai botnet exploited default passwords to enable remote command execution and initiate various forms of malicious activity, particularly DDoS attacks. Unusual port scans, frequent SSH login failures, traffic spikes, and erratic device behaviors were indicators of the infection. The incident necessitated a reinforcement of security measures, such as updating default credentials, strengthening passwords, regular monitoring of access logs, deployment of firewalls, and up-to-date firmware to mitigate further risks.
Date Detected: 2024-12-11
Type: DDoS Attack
Attack Vector: Default Passwords
Vulnerability Exploited: Default Credentials
Threat Actor: Mirai Botnet
Motivation: Malicious Activity, DDoS Attacks
Title: UNC3886 Attack on Juniper Networks Junos OS Routers
Description: Mandiant researchers discovered custom backdoors deployed by China-linked espionage group UNC3886 on outdated Juniper Networks Junos OS routers. These TINYSHELL-based backdoors aimed for long-term persistence and stealth, targeting internal networking infrastructure and ISP routers. The backdoors imitated legitimate binaries and bypassed Junos OS security mechanisms, which could potentially lead to privileged access abuse, network authentication service compromises, and further covert operations within affected systems. The incident highlights significant vulnerabilities within critical networking devices and represents a strategic threat to the defense, technology, and telecommunications sectors.
Type: Espionage
Attack Vector: Custom Backdoors
Vulnerability Exploited: Outdated Junos OS routers
Threat Actor: UNC3886
Motivation: Long-term persistence and stealth
Title: UNC3886 Targets Juniper Networks Routers with Custom Backdoors
Description: China-linked cyber espionage group UNC3886 targeted outdated Juniper Networks Junos OS MX routers with custom backdoors. The deployment of TINYSHELL-based backdoors, which allowed for stealthy, persistent access, showed a sophisticated understanding of system internals and posed a significant threat. This attack rendered the organization vulnerable to long-term espionage activities, primarily affecting the defense, technology, and telecommunications sectors in the US and Asia. The security incident not only undermined the integrity of Juniper Networks' devices but also put sensitive customer and employee data at risk.
Date Detected: mid-2024
Type: Cyber Espionage
Attack Vector: Custom Backdoors
Vulnerability Exploited: Outdated Juniper Networks Junos OS MX routers
Threat Actor: UNC3886
Motivation: Espionage
Common Attack Types: The most common types of attacks the company has faced is Breach.
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Default Passwords, Default Passwords, Default Passwords, Default Credentials, Outdated Juniper Networks Junos OS routers and Outdated Juniper Networks Junos OS MX routers.

Systems Affected: Session Smart Network (SSN) platforms
Operational Impact: Network Disruptions

Systems Affected: SSR Devices

Systems Affected: Session Smart Router (SSR) products
Operational Impact: Unusual network behaviorPort scanningFailed SSH loginsSpikes in trafficConnections from known malicious IP addresses

Systems Affected: SSR Devices

Systems Affected: Juniper Networks Junos OS routers
Operational Impact: Privileged access abuseNetwork authentication service compromisesCovert operations

Data Compromised: Customer data, Employee data
Systems Affected: Juniper Networks Junos OS MX routers
Brand Reputation Impact: Significant
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Customer Data, Employee Data and .

Entity Name: Juniper Networks
Entity Type: Company
Industry: Technology
Customers Affected: Multiple

Entity Name: Juniper Networks
Entity Type: Company
Industry: Technology

Entity Name: Juniper Networks
Entity Type: Company
Industry: Networking and Cybersecurity

Entity Name: Juniper Networks
Entity Type: Organization
Industry: Networking

Entity Name: Juniper Networks
Entity Type: Company
Industry: Technology

Entity Name: Juniper Networks
Entity Type: Organization
Industry: Defense, Technology, Telecommunications
Location: USAsia

Remediation Measures: Change default credentialsMonitor logsUse firewalls and IDS/IPSKeep firmware updated

Containment Measures: Changing default credentials, using strong passwords, monitoring access logs, utilizing firewalls and IDS/IPS, updating firmware

Remediation Measures: Strengthening security practicesMitigating future risks
Communication Strategy: Issued recommendations to customers
Enhanced Monitoring: Regular security monitoring

Containment Measures: Updating Default CredentialsStrengthening PasswordsRegular Monitoring of Access LogsDeployment of FirewallsUp-to-date Firmware

Type of Data Compromised: Customer data, Employee data
Sensitivity of Data: High
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Change default credentials, Monitor logs, Use firewalls and IDS/IPS, Keep firmware updated, , Strengthening security practices, Mitigating future risks, .
Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through by changing default credentials, using strong passwords, monitoring access logs, utilizing firewalls and ids/ips, updating firmware, updating default credentials, strengthening passwords, regular monitoring of access logs, deployment of firewalls, up-to-date firmware and .

Lessons Learned: Importance of strong password policies, Regular security monitoring

Recommendations: Enhance security by changing default credentials, Monitor logs, Use firewalls and IDS/IPS, Keep firmware updatedEnhance security by changing default credentials, Monitor logs, Use firewalls and IDS/IPS, Keep firmware updatedEnhance security by changing default credentials, Monitor logs, Use firewalls and IDS/IPS, Keep firmware updatedEnhance security by changing default credentials, Monitor logs, Use firewalls and IDS/IPS, Keep firmware updated

Recommendations: Bolster security by changing default credentials, using strong passwords, monitoring access logs, utilizing firewalls and IDS/IPS, and updating firmware to mitigate against such threats.

Recommendations: Strengthening security practices, Mitigating future risksStrengthening security practices, Mitigating future risks
Key Lessons Learned: The key lessons learned from past incidents are Importance of strong password policies,Regular security monitoring.
Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: Bolster security by changing default credentials, using strong passwords, monitoring access logs, utilizing firewalls and IDS/IPS and and updating firmware to mitigate against such threats..

Source: Mandiant Research
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Mandiant Research.
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Issued Recommendations To Customers.

Customer Advisories: Issued recommendations to customers
Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: were Issued Recommendations To Customers and .

Entry Point: Default Passwords

Entry Point: Default Passwords

Entry Point: Default Passwords

Entry Point: Default Credentials

Entry Point: Outdated Juniper Networks Junos OS routers
Backdoors Established: TINYSHELL-based backdoors
High Value Targets: Internal Networking Infrastructure, Isp Routers,
Data Sold on Dark Web: Internal Networking Infrastructure, Isp Routers,

Entry Point: Outdated Juniper Networks Junos OS MX routers
Backdoors Established: ['TINYSHELL-based backdoors']
High Value Targets: Defense, Technology, Telecommunications,
Data Sold on Dark Web: Defense, Technology, Telecommunications,

Root Causes: Default Passwords
Corrective Actions: Change Default Credentials, Monitor Logs, Use Firewalls And Ids/Ips, Keep Firmware Updated,

Root Causes: Default Passwords
Corrective Actions: Changing default credentials, using strong passwords, monitoring access logs, utilizing firewalls and IDS/IPS, updating firmware

Root Causes: Weak Password Policies,
Corrective Actions: Strengthening Security Practices, Regular Security Monitoring,

Root Causes: Default Credentials
Corrective Actions: Updating Default Credentials, Strengthening Passwords, Regular Monitoring Of Access Logs, Deployment Of Firewalls, Up-To-Date Firmware,

Root Causes: Outdated Junos Os Routers,

Root Causes: Outdated Juniper Networks Junos OS MX routers
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as Regular Security Monitoring, .
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Change Default Credentials, Monitor Logs, Use Firewalls And Ids/Ips, Keep Firmware Updated, , Changing default credentials, using strong passwords, monitoring access logs, utilizing firewalls and IDS/IPS, updating firmware, Strengthening Security Practices, Regular Security Monitoring, , Updating Default Credentials, Strengthening Passwords, Regular Monitoring Of Access Logs, Deployment Of Firewalls, Up-To-Date Firmware, .
Last Attacking Group: The attacking group in the last incident were an Mirai Botnet, Mirai Botnet, Mirai Botnet, UNC3886 and UNC3886.
Most Recent Incident Detected: The most recent incident detected was on December 11, 2024.
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2024-12-11.
Most Significant Data Compromised: The most significant data compromised in an incident were Customer Data, Employee Data and .
Most Significant System Affected: The most significant system affected in an incident was Session Smart Router (SSR) products and SSR Devices and Juniper Networks Junos OS routers and Juniper Networks Junos OS MX routers.
Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were Changing default credentials, using strong passwords, monitoring access logs, utilizing firewalls and IDS/IPS, updating firmware and Updating Default CredentialsStrengthening PasswordsRegular Monitoring of Access LogsDeployment of FirewallsUp-to-date Firmware.
Most Sensitive Data Compromised: The most sensitive data compromised in a breach were Customer Data and Employee Data.
Most Significant Lesson Learned: The most significant lesson learned from past incidents was Regular security monitoring.
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Keep firmware updated, Enhance security by changing default credentials, Mitigating future risks, Use firewalls and IDS/IPS, Monitor logs, Bolster security by changing default credentials, using strong passwords, monitoring access logs, utilizing firewalls and IDS/IPS, and updating firmware to mitigate against such threats. and Strengthening security practices.
Most Recent Source: The most recent source of information about an incident is Mandiant Research.
Most Recent Customer Advisory: The most recent customer advisory issued was an Issued recommendations to customers.
Most Recent Entry Point: The most recent entry point used by an initial access broker were an Default Passwords, Default Credentials, Outdated Juniper Networks Junos OS MX routers and Outdated Juniper Networks Junos OS routers.
Most Significant Root Cause: The most significant root cause identified in post-incident analysis was Default Passwords, Default Passwords, Weak Password Policies, Default Credentials, Outdated Junos OS routers, Outdated Juniper Networks Junos OS MX routers.
Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was Change default credentialsMonitor logsUse firewalls and IDS/IPSKeep firmware updated, Changing default credentials, using strong passwords, monitoring access logs, utilizing firewalls and IDS/IPS, updating firmware, Strengthening security practicesRegular security monitoring, Updating Default CredentialsStrengthening PasswordsRegular Monitoring of Access LogsDeployment of FirewallsUp-to-date Firmware.
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ThingsBoard in versions prior to v4.2.1 allows an authenticated user to upload malicious SVG images via the "Image Gallery", leading to a Stored Cross-Site Scripting (XSS) vulnerability. The exploit can be triggered when any user accesses the public API endpoint of the malicious SVG images, or if the malicious images are embedded in an `iframe` element, during a widget creation, deployed to any page of the platform (e.g., dashboards), and accessed during normal operations. The vulnerability resides in the `ImageController`, which fails to restrict the execution of JavaScript code when an image is loaded by the user's browser. This vulnerability can lead to the execution of malicious code in the context of other users' sessions, potentially compromising their accounts and allowing unauthorized actions.
Mattermost versions 11.0.x <= 11.0.2, 10.12.x <= 10.12.1, 10.11.x <= 10.11.4, 10.5.x <= 10.5.12 fail to to verify that the token used during the code exchange originates from the same authentication flow, which allows an authenticated user to perform account takeover via a specially crafted email address used when switching authentication methods and sending a request to the /users/login/sso/code-exchange endpoint. The vulnerability requires ExperimentalEnableAuthenticationTransfer to be enabled (default: enabled) and RequireEmailVerification to be disabled (default: disabled).
Mattermost versions 11.0.x <= 11.0.2, 10.12.x <= 10.12.1, 10.11.x <= 10.11.4, 10.5.x <= 10.5.12 fail to sanitize team email addresses to be visible only to Team Admins, which allows any authenticated user to view team email addresses via the GET /api/v4/channels/{channel_id}/common_teams endpoint
Exposure of email service credentials to users without administrative rights in Devolutions Server.This issue affects Devolutions Server: before 2025.2.21, before 2025.3.9.
Exposure of credentials in unintended requests in Devolutions Server.This issue affects Server: through 2025.2.20, through 2025.3.8.

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