Amiboide
Table of Contents
Overview
Amiboide is a historical malware family that primarily operated as a trojan horse, targeting Windows operating systems. It was often distributed through malicious email attachments or compromised software downloads. Once executed on a target machine, Amiboide established persistence by modifying system registry keys and installing hidden components deep within the operating system. The malware was designed to open a backdoor, granting remote attackers unauthorized access to the infected system. This allowed for various malicious activities, including data theft, keylogging, and the potential deployment of secondary payloads. Although its prevalence has waned in recent years due to improved security software and operating system defenses, Amiboide remains a notable example of early backdoor trojans and highlights the importance of robust endpoint protection and user awareness regarding suspicious files.
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: Amiboide_Backdoor_Framework
Known Derivatives & Downstream Variants: Amiboide.Gen · Trojan.Amiboide
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 |
|---|---|---|---|
T1059 | Command and Scripting Interpreter | Execution | ATT&CK ↗ |
T1112 | Modify Registry | Defense Evasion | ATT&CK ↗ |
T1056 | Input Capture | Credential Access | ATT&CK ↗ |
T1055 | Process Injection | Defense Evasion | ATT&CK ↗ |
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- T1056: Monitor for unauthorized keylogging, screen capturing, or web browser API hooking. Deploy EDR to detect API hooking.
- T1059: Restrict execution of scripting languages such as PowerShell, VBScript, or Python to authorized administrators. Enforce Script Block Logging.
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-AHC | API Hook Detection | Detect | T1056 | Deploy kernel and userland EDR drivers to monitor SetWindowsHookEx and low-level keyboard hooks. |
D3-SEA | Script Execution Analysis | Detect | T1059 | Analyze script block syntax and command arguments at runtime to detect malicious automation. |
D3-RVM | Registry Value Modification Analysis | Detect | T1112 | Log Windows Event ID 4657 to monitor unauthorized modifications to system configuration and security settings. |
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.
0a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c
Delivery vectors
Malicious email attachments disguised as software utilities and crack toolsNetwork worm propagation targeting RPC DCOM vulnerability (CVE-2003-0352)
Persistence mechanisms
HKLM\Software\Microsoft\Windows\CurrentVersion\Run\AmiboideBackdoorWindows System Service registered under %SystemRoot%\System32\amiboide.exe
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_AMIBOIDE_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Amiboide"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "amiboide" ascii wide nocase
$s2 = "amiboide" ascii wide nocase
$s3 = "trojan.amiboide" 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 - Amiboide (Backdoor) Execution & Triage
id: 82352f92-1e6f-534e-b5d2-e62115179a60
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Amiboide malware family. Detects proxy execution, reflective DLL loading,
and remote command injection associated with modular enterprise backdoors.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/amiboide
- 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.backdoor
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1059
- attack.t1112
- attack.t1056
- attack.t1055
logsource:
category: process_creation
product: windows
detection:
selection_process:
Image|endswith:
- \powershell.exe
- \cmd.exe
- \rundll32.exe
- \regsvr32.exe
CommandLine|contains:
- DownloadString
- IEX(
- '/s /n /u /i:'
- sc create
- start-process
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_AMIBOIDE_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Amiboide 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 = "amiboide" 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.
- Isolate affected endpoints from the network immediately to sever unauthorized command and control communication.
- Identify and terminate active Amiboide binaries and associated parent-child process chains.
- Audit persistence vectors including Registry Run keys, Scheduled Tasks, and services for unauthorized entries.
- Collect forensic disk and memory triage artifacts before conducting system re-imaging.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not attempt manual string or file deletion while network connections remain active; this can trigger secondary dropper routines.
- Avoid restoring from backups without verifying that the backup snapshot predates initial Amiboide installation.
References & External Analysis
- Malware Museum
- Search "amiboide" on VirusTotal (External Analysis)
- Search "amiboide" on Any.Run (Sandbox Sandbox)
- Search "amiboide" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is Amiboide?
Amiboide is a trojan horse malware designed to open a backdoor on infected Windows systems, allowing unauthorized remote access.
How does Amiboide infect systems?
It typically infects systems through malicious email attachments or compromised software downloads.
What are the primary capabilities of Amiboide?
Its main capability is providing unauthorized remote access, which can lead to data theft, keylogging, and further malware deployment.
How does Amiboide maintain persistence?
It maintains persistence by modifying Windows registry keys and hiding its components within the system.
Is Amiboide still a major threat?
While largely considered a legacy threat, it serves as a foundational example of backdoor trojans.
How do I remove Amiboide from Windows?
Manual removal of Amiboide 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.
What are the main symptoms of a Amiboide infection?
Symptoms of Amiboide 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 Backdoors
Want to prevent Amiboide 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/amiboide.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.