Gh0St

Category: rat · Aliases: Gh0st RAT, Backdoor.Gh0st, Win32/Gh0st, Ghost RAT, Trojan.Win32.Gh0st, Gh0st.C.Rufus · Sample count (EMBER 2018): 4 · Enrichment: curated_sourced · Updated: 2026-10-14
Category: RatStatus: Automated SignaturePlatform: WINDOWS_PEStage: Persistence, Command And Control, Remote AccessFirst seen: 2008Actor: Unknown / CybercriminalIndustry: Global / OpportunisticMotivation: Espionage🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows Server 2022
Executive Summary
Gh0st RAT (also tracked as Ghost RAT, Backdoor.Gh0st, and Win32/Gh0st) is one of the most historically significant, modular, and widely weaponized Remote Access Trojans in cyber threat intelligence.

Table of Contents

Overview

Gh0st RAT (also tracked as Ghost RAT, Backdoor.Gh0st, and Win32/Gh0st) is one of the most historically significant, modular, and widely weaponized Remote Access Trojans in cyber threat intelligence. Originally released in 2008 with public C++ source code by the Chinese hacker group C.Rufus Security Team, Gh0st RAT was rapidly adopted, customized, and deployed by dozens of advanced persistent threat (APT) groupsβ€”most notably APT27 (Emissary Panda), APT41 (Barium / Winnti), APT30, and the operators behind the global GhostNet cyber espionage network. Documented extensively by CISA (Alert AA20-258A and related joint cybersecurity advisories) and MITRE ATT&CK under software ID S0032, Gh0st RAT provides attackers with complete interactive control over compromised endpoints. Its capabilities include real-time remote desktop streaming, webcam and microphone hijacking, multi-process keylogging, full file system management, remote shell access, and encrypted C2 communication utilizing customized 5-byte packet magic headers (such as 'Gh0st', 'cb0st', 'kitty', and 'ly0st') followed by zlib-compressed payloads.

Known aliases

Threat reports may refer to this family under multiple names:

Family Pedigree & Lineage

Malware authors regularly fork and iterate upon existing codebases. Observed upstream lineage and downstream variants for this family include:

Derived From / Upstream Ancestry: C.Rufus Security Team C++ Framework

Known Derivatives & Downstream Variants: Gh0St Beta · Gh0St V3.6 · Nightdragon Gh0St · Cb0St Variant · Kitty Gh0St

MITRE ATT&CK Techniques

Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:

→ Explore the complete 226-Technique ATT&CK Threat Matrix

Tactical Mitigations

Based on the techniques used by this family, consider the following defensive strategies:

MITRE D3FEND™ Defensive Countermeasures

Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):

D3FEND IDCountermeasure NameTacticCountered ATT&CKDefensive Guidance
D3-MFAMulti-factor AuthenticationHardenT1056.001Enforce FIDO2 / WebAuthn physical tokens to render keystroke-intercepted passwords useless.
D3-PBAProcess Spawn AnalysisDetectT1059.003Inspect command-line arguments and anomalous parent-child relationships spawning from cmd.exe.
D3-WAFWeb Content Filtering & InspectionFilterT1071.001Block newly registered domains (NRDs) and inspect HTTP Host and URI headers for known C2 profiles.
D3-NTINetwork Traffic InspectionDetectT1105Inspect deep packet payloads for anomalous staging binaries and unauthorized egress protocols.
D3-HACHardware Device Access ControlIsolateT1125Enforce Group Policy hardware access restrictions on integrated webcams and microphones.
D3-SCMWindows Service Creation MonitoringDetectT1543.003Verify 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:

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.

Delivery vectors

Persistence mechanisms

SIEM / EDR Ingestion: Need these reference indicators for threat hunting?

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_GH0ST_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Gh0St"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "gh0st" ascii wide nocase
        $s2 = "gh0st rat" ascii wide nocase
        $s3 = "backdoor.gh0st" ascii wide nocase
        $s4 = "win32/gh0st" ascii wide nocase
        $s5 = "ghost rat" ascii wide nocase
        $s6 = "trojan.win32.gh0st" ascii wide nocase
        $s7 = "gh0st.c.rufus" 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 - Gh0st (Rat) Execution & Triage
id: 3cae79df-f14f-5e06-b4a0-85e5aaa52c9e
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Gh0st 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/gh0st
- 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.t1056_001
- attack.t1125
- attack.t1123
- attack.t1059_003
- 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_GH0ST_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Gh0St 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 = "gh0st" 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
}
SOC & SIEM Rule Downloads: ⬇ Download YARA Rule (.yar) ⬇ Download Sigma Rule (YAML) ⬇ Download Sigma Rule (JSON) ⚙ Threat Profile API (JSON)

Containment & Response Steps

Home Users: If you suspect a malware infection on your personal device, disconnect from the internet immediately and run a full system scan with your antivirus software (see our TotalAV Antivirus & Security Support Guide). The steps below are intended for IT professionals responding to enterprise incidents.

Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.

  1. Isolate compromised endpoints immediately to prevent lateral movement and real-time surveillance operations.
  2. Deploy network intrusion detection (NIDS) signatures matching custom Gh0st 5-byte magic headers across egress firewalls.
  3. Terminate active Gh0st RAT Windows services and purge registered DLL side-loading payloads.
  4. Conduct full enterprise credential revamping and perform deep forensic memory triage to identify secondary implants.

What to Avoid

Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.

  1. Do not rely solely on default magic header strings ('Gh0st') for network detection, as advanced actors rewrite headers.
  2. Avoid attempting ad-hoc file removal while endpoints remain networked, which can trigger automated persistence reinstatement.

References & External Analysis

North American Authority Advisory (CISA / NIST)

The Cybersecurity and Infrastructure Security Agency (CISA) has published an official US federal advisory on this family, which can be mapped to NIST Cybersecurity Framework (CSF) incident response controls: AA20-258A ↗

Frequently Asked Questions

What is Gh0st RAT and what is its operational history?

Gh0st RAT is an open-source C++ Remote Access Trojan released in 2008 by C.Rufus Security Team and extensively weaponized by nation-state APT actors.

Which threat actors and APT groups utilize Gh0st RAT?

Documented users include APT27 (Emissary Panda), APT41 (Barium / Winnti), APT30, and the GhostNet espionage campaign.

What interactive capabilities does Gh0st RAT provide?

Gh0st RAT provides remote desktop control, live microphone and webcam capture, keylogging, file transfer, and reverse shell command execution.

Which CVE vulnerabilities have been weaponized to deploy Gh0st RAT?

Threat actors deliver Gh0st RAT using exploits for CVE-2012-0158, CVE-2014-6332, CVE-2017-0199, and CVE-2017-11882.

How do network defenders identify Gh0st RAT communication?

Defenders detect Gh0st RAT traffic by analyzing packet headers for custom 5-byte magic signatures followed by zlib-compressed payloads.

How do I remove the Gh0St Rat from Windows?

Manual removal of Gh0St 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 Gh0St a virus or a Rat?

Gh0St is classified as a Rat. Unlike traditional viruses that infect files, modern malware like Gh0St typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.

What are the main symptoms of a Gh0St infection?

Symptoms of Gh0St 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 Gh0St 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.

Need help with an active incident? Published by the SystemHelpdesk Threat Intelligence Team.

Machine-readable

Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/gh0st.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.