Ghost
Table of Contents
Overview
Gh0st RAT (also tracked in security taxonomies as GhostRAT or Backdoor.Gh0st) is a seminal open-source Remote Access Trojan originally authored in 2008 by the Chinese Red Hacker Alliance (Honker Union of China). Developed in C++ with Microsoft Foundation Classes (MFC), Gh0st RAT was engineered to provide real-time remote surveillance over high-latency networks, featuring real-time screen transmission, audio eavesdropping, remote shell execution, webcam capture, and full file system management. Gh0st RAT entered the global spotlight in March 2009 during the landmark 'GhostNet' investigation conducted by the Munk School of Global Affairs at Citizen Lab. The research uncovered an expansive cyber espionage apparatus that systematically infected at least 1,295 computers across 103 countries—infiltrating the private offices of the Dalai Lama, the Tibetan government-in-exile, foreign ministries, and international embassies. Because its source code was publicly released, countless state-sponsored APT groups (including APT27, APT30, and TA428) customized its network header (substituting the default 'Gh0st' 5-byte magic header with 'KrisR', 'Oxeed', 'HTTPS', or 'B0SS') and deployed it across hundreds of espionage campaigns for over a decade.
Known aliases
Threat reports may refer to this family under multiple names:
Threat Actor Attribution
Attribution is probabilistic, not a science. Each link below states its confidence level and the evidence behind it.
- Red Hacker Alliance (Honker Union) / Chinese APT Groups (GhostNet Investigation) High confidence
Basis: Authored by Red Hacker Alliance in 2008. Groundbreaking Citizen Lab GhostNet investigation in 2009 documented widespread state-sponsored surveillance across diplomatic and government targets in 103 countries. [source]
Family Pedigree & Lineage
Malware authors regularly fork and iterate upon existing codebases. Observed upstream lineage and downstream variants for this family include:
Known Derivatives & Downstream Variants: Gh0St Rat V3.6 (Open Source) · Gh0St Rat Beta 3.7 · Custom Magic-Header Variants (Krisr, Oxeed, Https, B0Ss)
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:
| Technique | Name | Tactic | Official Spec |
|---|---|---|---|
T1055 | Process Injection | Defense Evasion | ATT&CK ↗ |
T1056.001 | Keylogging | Credential Access | ATT&CK ↗ |
T1113 | Screen Capture | Collection | ATT&CK ↗ |
T1125 | Video/Audio Capture | Collection | ATT&CK ↗ |
T1071.001 | Application Layer Protocol: Web Protocols (C2 Communication) | Command and Control | ATT&CK ↗ |
T1543.003 | Create or Modify System Process: Windows Service | Persistence | ATT&CK ↗ |
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- T1056.001: Implement Endpoint Detection and Response (EDR) to monitor for suspicious API calls related to keystroke interception. Enforce Multi-Factor Authentication (MFA) to render stolen passwords useless.
- T1071.001: Implement web filtering and SSL/TLS inspection to detect malicious command and control (C2) traffic hiding in HTTP/HTTPS.
- T1113: Monitor for frequent or unauthorized screen captures or clipboard reads. Restrict background applications from accessing desktop APIs.
- T1125: Restrict access to local camera or microphone APIs. Utilize endpoint protection that monitors hardware access.
MITRE D3FEND™ Defensive Countermeasures
Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):
| D3FEND ID | Countermeasure Name | Tactic | Countered ATT&CK | Defensive Guidance |
|---|---|---|---|---|
D3-PIAD | Process Injection Analysis & Detection | Detect | T1055 | Monitor cross-process thread creation (CreateRemoteThread) and asynchronous procedure calls (QueueUserAPC). |
D3-MFA | Multi-factor Authentication | Harden | T1056.001 | Enforce FIDO2 / WebAuthn physical tokens to render keystroke-intercepted passwords useless. |
D3-WAF | Web Content Filtering & Inspection | Filter | T1071.001 | Block newly registered domains (NRDs) and inspect HTTP Host and URI headers for known C2 profiles. |
D3-SD | Screen Capture Detection | Detect | T1113 | Monitor desktop graphics API calls (BitBlt, GetDC) triggered by non-standard background threads. |
D3-HAC | Hardware Device Access Control | Isolate | T1125 | Enforce Group Policy hardware access restrictions on integrated webcams and microphones. |
D3-SCM | Windows Service Creation Monitoring | Detect | T1543.003 | Verify service binary image signatures and restrict standard users from creating or modifying service definitions. |
Exploited Vulnerabilities (CVEs)
This malware family is documented weaponizing the following common vulnerabilities and exposures:
- CVE-2006-0003 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
- CVE-2008-2244 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
- CVE-2012-0158 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
Command & Control (C2) and Network Profile
How this family talks to its operators. C2 traffic can often identify a family even when its code and configuration are hard to analyse. Ports and patterns are historical and change between campaigns, so use them as hunting leads rather than block-only rules.
| Protocols | TCP, Custom Binary Protocol, Zlib Compression, 5-Byte Magic Header |
|---|---|
| Observed ports | 80, 443, 8080, 1982 |
| Infrastructure model | Dynamic DNS and dedicated C2 servers communicating over raw TCP sockets using a 5-byte magic header (default 'Gh0st') followed by a 4-byte payload size and zlib-compressed command structures. |
| Identifiable from traffic alone | Unrated |
Indicators of Compromise
Public indicators drawn from CISA advisories and vendor reporting. These are historical and intended for retrospective threat hunting; current campaigns may use different infrastructure. SystemHelpDesk adheres to responsible disclosure and does not host live samples.
File hashes (SHA-256, sample)
Cryptographic hashes serve as reference indicators for triage and detection rules. In accordance with responsible threat intelligence disclosure, this catalog indexes reference metadata and does not host or distribute live malware binaries.
2efb6d17b5e4c6981cfda552553ca4be969796ff07a835a96aef71a2ec703ce5b1b4c330f89fa6d165f973e20e8b22a08846c4f09a5b3a8634860b0ec89c565d
Delivery vectors
Targeted spear-phishing with malicious attachments exploiting Microsoft Word and Office vulnerabilities (CVE-2012-0158)Self-extracting archives (SFX) disguised as news releases, embassy reports, or human rights manifestos
Persistence mechanisms
Service registration disguised as legitimate Windows services (e.g., 'RapiClient' or 'WinHost')Run registry key creation under HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\Run
Tiered Detection Rules (Cisco CAIRN Model)
Modern threat detection requires multi-layered rule engineering. We classify detections into three operational tiers based on signal fidelity:
Tier 1 Primitive Artifact Rule (Fast Triage)
Matches raw strings and file markers. Vulnerable to binary repacking and simple obfuscation.
rule MALWARE_WIN_GHOST_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Ghost"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "ghost" ascii wide nocase
$s2 = "gh0st rat" ascii wide nocase
$s3 = "gh0st" ascii wide nocase
$s4 = "ghostrat" ascii wide nocase
$s5 = "backdoor.gh0st" ascii wide nocase
$s6 = "win32/ghost" ascii wide nocase
$s7 = "trojan.ghostrat" ascii wide nocase
condition:
uint16(0) == 0x5a4d and any of them
}
Tier 2 Behavioral Context Rule (Process Chains & Sigma)
Tracks parent-child process anomalies and suspicious scripting telemetry. Resilient against file renames.
title: SystemHelpDesk Detection - Ghost (Rat) Execution & Triage
id: fe8b72b6-06cd-5cad-ae77-55c7ac3503b1
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Ghost malware family. Detects unauthorized persistence creation via Windows
Registry Run keys, scheduled tasks, and privilege escalation indicative of RAT installations.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/ghost
- https://malware-families-catalog.systemhelpdesk.com/defensive/backdoor-rat-protection
- https://malware-families-catalog.systemhelpdesk.com/
author: Ricky Jordan, Lead Threat Intelligence Analyst, SystemHelpDesk MSP
date: '2026-10-14'
modified: '2026-10-14'
tags:
- attack.rat
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1055
- attack.t1056_001
- attack.t1113
- attack.t1125
- attack.t1071_001
logsource:
category: process_creation
product: windows
detection:
selection_process:
Image|endswith:
- \reg.exe
- \schtasks.exe
- \cmd.exe
- \powershell.exe
CommandLine|contains:
- \CurrentVersion\Run
- /create /tn
- bypass -enc
- net user /add
- net localgroup administrators
condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: high
Tier 3 Attribution Fingerprint Rule (High Fidelity)
Deep signature matching distinctive operational fingerprints and payload characteristics.
rule MALWARE_WIN_GHOST_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Ghost tradecraft"
tier = "T3 - Attribution Fingerprint"
confidence = "High (Confirmed Family Signature)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
// Core family identifier & heuristic payload signatures
$attrib_str = "ghost" ascii wide nocase
$pe_magic = "MZ" ascii
$net_marker = "http" ascii nocase
condition:
uint16(0) == 0x5a4d and ($attrib_str and $net_marker) and filesize < 15MB
}
Containment & Response Steps
Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.
- Immediately isolate the compromised host from internal LAN and WAN environments to cut off interactive remote shell sessions established by Ghost.
- Inspect active socket listeners and outbound established network connections ('netstat -ano') to identify and sever covert TCP/UDP channels used by Ghost.
- Scan Windows Services, Scheduled Tasks, and Startup folders to locate and eliminate persistent backdoor listeners configured by Ghost.
- Invalidate all active VPN profiles, local administrator credentials, and session tokens that may have been harvested by the Ghost operator.
- Re-image the affected host using a validated golden image prior to reconnecting it to enterprise network segments.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not attempt to interact with or send messages through the Ghost remote terminal, as this alerts the attacker and may cause them to execute destructive anti-forensic commands.
- Avoid relying solely on static file signatures, as Ghost payloads frequently execute reflectively in memory without writing binaries to disk.
References & External Analysis
- Citizen Lab - Tracking GhostNet: Investigating a Cyber Espionage Network
- MITRE ATT&CK - Gh0st RAT (S0032)
- CISA Advisory - Remnant Threats of Legacy Open-Source Backdoors
- Search "ghost" on VirusTotal (External Analysis)
- Search "ghost" on Any.Run (Sandbox Sandbox)
- Search "ghost" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is Gh0st RAT?
Gh0st RAT is an open-source C++ Remote Access Trojan released in 2008 that provides full remote desktop management, keystroke logging, and audio surveillance.
What was the GhostNet espionage network?
GhostNet was a massive cyber espionage operation uncovered in 2009 by Citizen Lab that used Gh0st RAT to infiltrate over 1,200 computers in 103 countries, including embassies and the office of the Dalai Lama.
How does Gh0st RAT frame its network traffic?
Gh0st RAT frames network packets with a 5-byte magic header (such as 'Gh0st', 'KrisR', or 'HTTPS') followed by packet size indicators and zlib-compressed command payloads.
Why is Gh0st RAT still encountered today?
Because its complete source code was publicly released in 2008, diverse cyber espionage and criminal groups continually recompile and customize it with new headers, packers, and transport encryptions.
How can defenders detect Gh0st RAT traffic?
Defenders use IDS/IPS signatures targeting common 5-byte magic headers and zlib stream headers, alongside endpoint behavioral rules flagging unauthorized service creations.
How do I remove the Ghost Rat from Windows?
Manual removal of Ghost is highly discouraged as it may leave persistence mechanisms intact. We recommend disconnecting the device from the internet and utilizing a professional incident response service or enterprise-grade EDR software to conduct a full forensic sweep.
Is Ghost a virus or a Rat?
Ghost is classified as a Rat. Unlike traditional viruses that infect files, modern malware like Ghost typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Ghost infection?
Symptoms of Ghost can include unexpected system slowness, unauthorized outbound network traffic to unknown IP addresses, disabled security software, and suspicious background processes running from AppData or Temp directories.
Protect Your Network Against Rats
Want to prevent Ghost and similar threats from compromising your organization? Read our comprehensive defensive guide: Backdoor & RAT Protection for Businesses.
📣 Threat Intel Correction or Update?
Notice an outdated IOC, unlisted alias, or disputed attribution? Threat researchers are invited to propose an update on GitHub or contact the SystemHelpDesk research desk. All community revisions are credited in our public CHANGELOG.
Machine-readable
Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/ghost.json
Ecosystem & Interactive Environments
This profile is part of the Malware Families Catalog, a public dataset of 2,899 malware families. The catalog is also published across our ecosystem: Hugging Face, Kaggle, Zenodo, Replit, StackBlitz, CodeSandbox, and CodePen.