Full Report
Cybersecurity researchers are calling attention to a new botnet malware called HTTPBot that has been used to primarily single out the gaming industry, as well as technology companies and educational institutions in China. "Over the past few months, it has expanded aggressively, continuously leveraging infected devices to launch external attacks," NSFOCUS said in a report published this week. "By
Analysis Summary
# Tool/Technique: HTTPBot
## Overview
HTTPBot is a newly identified botnet malware specifically designed to launch high-precision Distributed Denial of Service (DDoS) attacks, primarily targeting the gaming industry, technology companies, and educational institutions, particularly within China. It marks a shift from indiscriminate traffic suppression to "high-precision business strangulation" by targeting specific high-value interfaces like game login and payment systems.
## Technical Details
- Type: Malware family (Botnet Trojan)
- Platform: Windows systems
- Capabilities: Executes HTTP Flood DDoS attacks with high precision, employs dynamic feature obfuscation, leverages legitimate-looking browser behavior simulation, and maintains persistence via registry manipulation.
- First Seen: August 2024
## MITRE ATT&CK Mapping
*Note: Based on described capabilities, the following mapping is inferred.*
- **TA0011 - Command and Control**
- T1071 - Application Layer Protocol
- **TA0010 - Impact**
- T1499 - Network Denial of Service
- T1499.001 - Flooding Network Interfaces (DDoS via HTTP Flood)
- **TA0003 - Persistence**
- T1547 - Boot or Logon Autostart Execution
- T1547.001 - Registry Run Keys / Startup Folder (Inferred via Windows Registry manipulation for startup execution)
## Functionality
### Core Capabilities
- **DDoS Execution:** Launches Distributed Denial-of-Service attacks, relying heavily on the HTTP protocol (HTTP Flood attacks).
- **Targeted Attack:** Executes attacks with "scalpel-like" precision against specific business functions (e.g., game login, payment systems).
- **Persistence:** Ensures automatic execution upon system startup through unauthorized manipulation of the Windows Registry.
- **Stealth:** Conceals its Graphical User Interface (GUI) to evade monitoring by users and security tools.
- **C2 Communication:** Establishes contact with a Command-and-Control (C2) server to receive specific attack instructions.
### Advanced Features
- **Dynamic Feature Obfuscation:** Uses techniques to circumvent traditional rule-based detection mechanisms.
- **Browser Mimicry:** Deeply simulates protocol layers and legitimate browser behavior to bypass defenses relying on protocol integrity.
- **Session Exhaustion:** Continuously occupies server session resources using randomized URL paths and cookie replenishment.
- **Attack Modules:** Supports several distinct DDoS attack methods:
- **BrowserAttack:** Uses hidden Google Chrome instances to mimic legitimate traffic.
- **HttpAutoAttack:** Employs a cookie-based approach to simulate legitimate sessions accurately.
- **HttpFpDlAttack:** Utilizes the HTTP/2 protocol, aiming to increase server CPU load by forcing large responses.
- **WebSocketAttack:** Leverages "ws://" and "wss://" protocols to establish WebSocket connections.
- **PostAttack:** Forces the use of HTTP POST requests for the attack.
- **CookieAttack:** Enhances BrowserAttack with dedicated cookie processing logic.
## Indicators of Compromise
- File Hashes: [Information not provided in the context]
- File Names: [Information not provided in the context]
- Registry Keys: Unauthorized Windows Registry manipulation (used for persistence)
- Network Indicators: C2 servers/domains (Not explicitly listed, but communication occurs over HTTP/WebSocket protocols)
- Behavioral Indicators: Sending high volumes of HTTP requests; presence of concealed GUI; abnormal system startup activity; utilization of web protocols (HTTP/1.1, HTTP/2, WebSocket) for outbound attack traffic.
## Associated Threat Actors
- [Information not provided in the context, but attributed to the operators of the newly discovered HTTPBot botnet.]
## Detection Methods
- Signature-based detection: (Challenged by dynamic feature obfuscation)
- Behavioral detection: Monitoring for high-volume, protocol-compliant HTTP requests directed at specific application interfaces; monitoring for unauthorized registry modifications tied to startup execution; monitoring for hidden GUI processes or Chrome/browser process spawning related to network activity.
- YARA rules: [Information not provided in the context]
## Mitigation Strategies
- Prevention measures: Employing advanced Web Application Firewalls (WAFs) capable of deep packet inspection and behavioral analysis beyond simple rate limiting.
- Hardening recommendations: Implementing strict controls over Windows Registry modifications, especially those affecting system startup keys. Deploying solutions capable of detecting and mitigating HTTP/2 and WebSocket-based floods.
## Related Tools/Techniques
- DDoS Botnets (General)
- Botnets targeting Windows (Less common than Linux/IoT focused botnets)