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Analyze » Ruijie Networks » RUITP-HOR1782865482

Incident Score: Analysis & Impact (RUITP-HOR1782865482)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-30
Company Score Before Incident779 / 1000
Company Score After Incident749 / 1000
INCIDENT NUMBERRUITP-HOR1782865482
Type of Cyber IncidentCyber Attack
ATTACK VECTORExploitation of default/weak credentials (Telnet/SSH), Unpatched vulnerabilities in devices (TVT, Ruijie, TP-Link, ZTE, Android debugging interfaces), Vulnerable web software (ThinkPHP, Jenkins, Hadoop YARN)
DATA EXPOSEDNA
INCIDENT DATE31/01/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Ruijie Networks's Cyber Attack and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Ruijie Networks Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Ruijie Networks breach identified under incident ID RUITP-HOR1782865482.

The analysis begins with a detailed overview of Ruijie Networks's information like the linkedin page: https://www.linkedin.com/company/ruijie-networks, the number of followers: 119949, the industry type: Technology, Information and Internet and the number of employees: 2495 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 779 and after the incident was 749 with a difference of -30 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Ruijie Networks and their customers.

TVT recently reported "RustDuck: A Stealthy, Rust-Based Botnet Targeting Routers and Servers", a noteworthy cybersecurity incident.

Researchers at QiAnXin’s XLab have uncovered RustDuck, a two-stage malware family actively hijacking home routers, IP cameras, Android devices, and poorly secured servers to build a distributed denial-of-service (DDoS) botnet.

The disruption is felt across the environment, affecting Home routers, IP cameras, Android devices, poorly secured servers.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing, teams are taking away lessons such as Rust-based malware complicates reverse engineering and detection. Two-stage infection processes and anti-analysis checks increase resilience. Dynamic DNS and encrypted C2 communications enhance evasion, and recommending next steps like Patch known vulnerabilities in devices and web software, Enforce strong, unique credentials for Telnet/SSH services and Monitor for unusual HTTPS traffic patterns.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with high confidence (90%), with evidence including unpatched flaws in devices from Ruijie, TP-Link, ZTE, and vulnerable web software, including ThinkPHP, Jenkins, and Hadoop YARN and Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating default or weak credentials on Telnet and SSH services. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating exploiting unpatched flaws in devices and web software and Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), supported by evidence indicating two-stage malware loader deploys core module for execution. Under the Persistence tactic, the analysis identified Server Software Component: Web Shell (T1505.003) with moderate confidence (60%), supported by evidence indicating exploitation of vulnerable web software (ThinkPHP, Jenkins, Hadoop YARN) and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating hijacking devices via Telnet/SSH with weak credentials. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with high confidence (90%), with evidence including rust-based malware complicates reverse engineering, and two-stage infection process with encrypted core module, Virtualization/Sandbox Evasion (T1497) with high confidence (90%), with evidence including detecting debuggers (Wireshark, gdb), virtual machines, and honeypots, and testing for reserved IP responses and system clock comparisons, and Encrypted Channel (T1573) with high confidence (90%), with evidence including communication encrypted using ChaCha20-Poly1305 and AES-GCM, and traffic mimics legitimate HTTPS. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with high confidence (90%), supported by evidence indicating traffic mimics legitimate HTTPS to avoid detection, Dynamic Resolution (T1568) with high confidence (90%), supported by evidence indicating c2 servers leverage dynamic DNS services like duckdns.org, and Data Obfuscation: Protocol Impersonation (T1001.003) with moderate to high confidence (80%), supported by evidence indicating traffic mimics legitimate HTTPS to avoid detection. Under the Impact tactic, the analysis identified Network Denial of Service (T1498) with high confidence (90%), supported by evidence indicating botnet built for distributed denial-of-service (DDoS) attacks. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (90%)
Valid Accounts (90%)
Execution
Exploitation for Client Execution (80%)
Command and Scripting Interpreter (70%)
Persistence
Server Software Component: Web Shell (60%)
External Remote Services (80%)
Defense Evasion
Obfuscated Files or Information (90%)
Virtualization/Sandbox Evasion (90%)
Encrypted Channel (90%)
Command and Control
Application Layer Protocol: Web Protocols (90%)
Dynamic Resolution (90%)
Data Obfuscation: Protocol Impersonation (80%)
Impact
Network Denial of Service (90%)

Sources & References