Lucifer v.1.2 HTTP Botnet

Lucifer v.1.2 HTTP Botnet

Lucifer v.1.2 HTTP Botnet has emerged as a sophisticated hybrid malware strain combining cryptocurrency mining and DDoS capabilities, representing a significant evolution in modern botnet technology. This malicious software has been actively deployed in attacks against corporate networks and individual users worldwide, demonstrating particular effectiveness due to its dual-purpose design and resilient infrastructure. Security researchers have observed its rapid propagation through exploit chains and its ability to generate substantial profits for operators through both cryptojacking and DDoS-for-hire services. The HTTP-based command and control mechanism makes it particularly adaptable to various network environments while evading traditional detection methods.

Download Link 1

Download Link 2

Download Link 3

Download Link 4

Lucifer v1.2 HTTP Botnet

What is the Lucifer v.1.2 HTTP Botnet

Lucifer v.1.2 hybrid malware operates as both a cryptocurrency miner and a distributed denial-of-service (DDoS) platform, providing attackers with multiple revenue streams from compromised systems. The software is typically distributed through:

  • Exploit kits target known vulnerabilities.
  • Phishing campaigns with malicious attachments.
  • Brute-force attacks against weak credentials.
  • Compromised software updates.

Once installed, it enables attackers to:

  • Mine cryptocurrency using the victim’s system resources.
  • Launch coordinated DDoS attacks.
  • Spread laterally across networks.
  • Steal system resources for botnet expansion.

Key Features of Lucifer v.1.2

FeatureDescription
Dual-Function PayloadCombines cryptocurrency mining and DDoS capabilities in a single package
HTTP-Based C2Uses standard HTTP/HTTPS protocols for stealthy communication
Automatic PropagationSpreads via vulnerabilities and credential brute-forcing
Process InjectionHides mining activity within legitimate system processes
Persistent InfectionSurvives reboots through multiple persistence mechanisms
Resource OptimizationDynamically adjusts mining intensity based on system usage
DDoS Attack ToolkitIncludes multiple attack vectors (SYN flood, UDP flood, HTTP flood)

How Lucifer v.1.2 HTTP Botnet works

1. Initial Infection Vector

The botnet spreads through multiple channels:

  • Automated exploitation of vulnerabilities (e.g., EternalBlue, WebLogic flaws).
  • Credential stuffing attacks against RDP and SSH services.
  • Malicious documents with embedded scripts.
  • Drive-by downloads from compromised websites.

2. Installation and Persistence

Upon successful compromise:

  1. Drops multiple payload components in system directories.
  2. Creates scheduled tasks for persistence (Windows) or cron jobs (Linux).
  3. Modifies registry keys or init scripts for auto-start functionality.
  4. Kills competing malware and security processes.

3. Dual-Function Operation

The malware operates two parallel functions:

Cryptocurrency Mining Module:

  • Deploys XMRig or similar mining software.
  • Configures optimal mining intensity based on CPU/GPU capabilities.
  • Connects to mining pools using the attacker’s wallet address.
  • Implements process hollowing to hide in legitimate processes.

DDoS Attack Module:

  • Maintains connection to C2 servers for attack commands.
  • Implements various flooding techniques:
    • SYN floods for TCP exhaustion
    • UDP amplification attacks
    • HTTP GET/POST floods
  • Can switch between attack vectors based on target vulnerabilities.

4. Command and Control Structure

The HTTP-based C2 provides:

  • Centralized management of infected bots.
  • Dynamic configuration updates.
  • Attack coordination across the botnet.
  • Payload updates for new functionality.

Communication occurs through:

  • Encrypted HTTP requests mimicking legitimate traffic.
  • Domain generation algorithms (DGA) for resilient C2 connectivity.
  • Fast-flux DNS to evade takedowns.

5. Evasion Techniques

The malware employs multiple stealth mechanisms:

  • Code obfuscation to avoid signature detection.
  • Sandbox detection to prevent analysis.
  • Network traffic blends with normal web requests.
  • Resource throttling to avoid noticeable performance impact.
  • Watchdog processes to maintain infection.

Download Link 1

Download Link 2

Download Link 3

Download Link 4