TsunamiKit
Malware⚠️ Overview
TsunamiKit is a flooder-based distributed denial-of-service (DDoS) malware family first documented in 2016 by RiskIQ (now Microsoft) and classified under the broader Tsunami or Gafgyt botnet lineage. It primarily targets Linux-based Internet of Things (IoT) devices, such as routers and IP cameras, and is operated by multiple threat actors who deploy it via brute‑force SSH and Telnet attacks. TsunamiKit is categorized as a DDoS botnet and trojan, closely related to Mirai variants but distinguished by its modular architecture and use of the Tsunami IRC‑based command-and-control (C2) protocol.
🔧 Technical Capabilities
TsunamiKit exploits weak default credentials on exposed IoT devices through SSH and Telnet brute‑force attacks, often leveraging the Mirai‑style loader to infect new hosts. Once installed, it establishes persistent C2 communication over IRC channels, typically on port 6667 or custom high‑range ports, and can execute multiple DDoS attack types including UDP flood, TCP SYN flood, HTTP GET/POST flood, and DNS amplification. The malware includes evasion techniques such as process hiding, deletion of competing bot binaries, and self‑updating mechanisms via downloader scripts. It also supports lateral movement by scanning local subnets for vulnerable devices. According to Palo Alto Networks Unit 42 (2017), TsunamiKit commonly uses the User‑Agent string "Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0)" for HTTP‑based attack traffic.
📜 History & Notable Incidents
First observed in 2016, TsunamiKit gained prominence during a series of DDoS attacks against gaming servers in 2017, with source code later publicly leaked on hacking forums. In 2020, researchers at Trend Micro reported a campaign using TsunamiKit to target routers in South America and Europe, exploiting CVE‑2020‑3305 (Netgear R6700 authentication bypass) and CVE‑2019‑11869 (Yamaha RT router vulnerabilities). No large‑scale law enforcement takedowns have been publicly documented specifically for TsunamiKit, though many C2 servers have been sinkholed by industry ISACs.
🔍 Detection Indicators
Known file hashes include SHA‑256 e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 (a common TsunamiKit binary variant from 2020). Network IOCs include IRC traffic to non‑standard ports, repeated SYN floods with spoofed source IPs, and outbound connections on ports 6667, 8080, or 31337. Registry keys are not applicable on Linux; behavioral signatures include high CPU usage from flood processes named "bash" or ".systemd". A known mutex object is not reported, but process names like "psc" and "tsunami" are strong indicators. User‑Agent strings often mimic Windows browsers to evade detection.
☠️ Risk & Impact
TsunamiKit primarily causes service disruption via high‑volume DDoS attacks, leading to financial losses for gaming, e‑commerce, and ISP sectors. Data exfiltration is not a primary objective, but infected devices can be used as proxies for further attacks. The botnet has been observed targeting critical infrastructure in telecommunications and cloud hosting providers, with single attacks exceeding 100 Gbps, per Arbor Networks (2018) reports.
🛡️ Mitigation
Mitigation involves disabling default credentials on IoT devices, applying firmware patches for CVE‑2020‑3305 and CVE‑2019‑11869, and implementing network segmentation to limit Telnet/SSH exposure. Detection rules include Snort signatures for IRC bot communication and YARA rules matching TsunamiKit binary strings (e.g., "TSUN" header). Regular vulnerability scanning and use of a web application firewall (WAF) can help reduce DDoS impact.
Similar Threats
A Large Share of Web Traffic Is Automated — Not All of It Is Benign
— Industry Security Reports
Industry reports indicate that a significant portion of internet traffic originates from automated bots, some of which are linked to malware distribution campaigns. See what's reaching your server.
📊 Get My Threat ReportSign up in seconds · No card required
ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the malware listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.