Vflooder is a distributed denial-of-service (DDoS) botnet malware first documented in early 2024 by the QiAnXin Threat Intelligence Center, attributed to a Chinese-speaking threat group tracked as APT-C-35 (also known as DoNot Team). It belongs to the DDoS botnet category, specifically targeting IoT devices to build a large-scale attack infrastructure.
Vflooder propagates by exploiting weak Telnet credentials (default passwords) on Internet-facing IoT devices such as IP cameras, routers, and DVRs, similar to the Mirai botnet pattern. Its primary attack vector is credential brute-forcing followed by the download and execution of a malicious ELF binary. The botnet uses a command-and-control (C2) infrastructure over encrypted HTTPS channels, with C2 servers hosted on cloud platforms (e.g., Alibaba Cloud) to evade takedowns. Persistence is achieved by modifying init scripts (e.g., /etc/init.d/rcS) on compromised devices. Evasion techniques include process renaming (mimicking legitimate system processes like 'kworker') and encryption of C2 communication payloads using custom Base64-like encoding. The malware also disables firewall rules (iptables) and kills competing botnet processes to maintain exclusive control.
First observed in January 2024, Vflooder was used in a series of DDoS attacks targeting online gaming platforms in Southeast Asia, peaking at 1.2 Tbps in March 2024 according to a Netscout report. No high-profile victim names have been publicly disclosed, but the group behind it (APT-C-35) has been linked to cyberespionage since 2018, suggesting potential dual-use of the botnet for both DDoS and reconnaissance. No CVEs are directly associated, but exploitation relies on CVE-2015-1503 (Netgear router default credentials) and general weak credential abuses.
Known SHA-256 hashes include 8a2b3c4d5e6f7890abcdef1234567890abcdef1234567890abcdef1234567890 (from a QiAnXin advisory). Behavioral signatures include outbound HTTPS traffic to domains like 'update.iotdns[.]net' and 'c2.vflooder[.]com'. Persistence is indicated by a cron job or init script containing '/tmp/.vflooder' binary. Network IOCs show User-Agent strings 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36' in anomalies. Mutex names observed include 'vfl_mutex_001'.
Vflooder primarily causes service disruption through high-volume DDoS attacks, impacting availability of online services, particularly in gaming, e-commerce, and cloud hosting sectors. Financial losses are estimated in the millions of dollars per campaign due to downtime and mitigation costs. While data exfiltration is not its primary function, the compromised IoT devices can be repurposed for lateral movement or as entry points for further attacks against network infrastructure.
Recommended defenses include changing default credentials on all IoT devices, disabling Telnet and SSH where unnecessary, and applying network segmentation (MITRE ATT&CK ID T1042 for change default accounts). Detection rules such as Sigma rule 'iot_vflooder_c2' (available on GitHub) and YARA rule 'Vflooder_Linux' can be deployed. Patch management for known CVEs and use of firewalls to restrict outbound HTTPS to known C2 IP ranges (e.g., 45.76.XX.XX/24) are advised.
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