Sdbot
Table of Contents
Overview
SDBot is one of the most foundational, architecturally influential, and widely cloned IRC-controlled backdoor trojans in computer security history, first released in 2002 by an anonymous underground programmer. Written in modular C++, SDBot's source code was publicly disseminated across underground coding repositories, serving as the evolutionary ancestor and template for a sprawling lineage of 2000s-era worm and botnet threatsโmost notably Rbot, Agobot (Gaobot), and Spybot. SDBot connected compromised endpoints to secret Internet Relay Chat (IRC) channels, awaiting operator commands prefixed with passwords to launch distributed denial-of-service (DDoS) SYN floods, sniff local network traffic for plaintext credentials, log keystrokes, and automatically scan local subnets to exploit unpatched Windows RPC and SMB vulnerabilities (including MS03-026 / CVE-2003-0352 and MS04-011 / CVE-2004-0115). In 2007, SDBot and its derivatives were primary targets of the FBI's historic 'Operation Bot Roast', which dismantled multiple commercial botnet rings controlling over a million hijacked computers worldwide.
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.
- Anonymous Underground C++ Author (2002) / FBI Operation Bot Roast Indictments High confidence
Basis: Released open-source in 2002. Targeted in the FBI's landmark 2007 Operation Bot Roast, which indicted commercial botnet operators in the US, Europe, and Asia for running massive SDBot/Rbot distributed denial-of-service swarms. [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: Sdbot V0.5B (Open Source Core) · Rbot Derivative · Agobot / Gaobot Branch · Spybot Variant
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- T1059.003: Restrict execution of Windows Command Shell (cmd.exe) and block unauthorized batch scripts.
- T1071.001: Implement web filtering and SSL/TLS inspection to detect malicious command and control (C2) traffic hiding in HTTP/HTTPS.
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-PSA | Port Scan Analysis | Detect | T1046 | Deploy network intrusion detection (NIDS) to identify sequential TCP SYN scans and unauthorized subnet reconnaissance. |
D3-PBA | Process Spawn Analysis | Detect | T1059.003 | Inspect command-line arguments and anomalous parent-child relationships spawning from cmd.exe. |
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-NPS | Network Protocol Segmentation & Patching | Filter | T1210 | Disable legacy protocols (e.g. SMBv1) and restrict SMB/RPC lateral movement across internal subnet boundaries. |
D3-TR | Traffic Rate Limiting | Isolate | T1498.001 | Deploy BGP Flowspec and edge scrubbing proxies to automatically throttle volumetric SYN and UDP reflection attacks. |
D3-RPM | Registry Persistence Monitoring | Detect | T1547.001 | Audit and restrict write privileges to user and machine-level Registry Run/RunOnce keys using Endpoint Privilege Management. |
Exploited Vulnerabilities (CVEs)
This malware family is documented weaponizing the following common vulnerabilities and exposures:
- CVE-2003-0352 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
- CVE-2004-0115 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
- CVE-2008-4250 — 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 | IRC over TCP, Plaintext Channel Command Protocol |
|---|---|
| Observed ports | 6667, 7000, 1863 |
| Infrastructure model | Decentralized IRC networks hosting hidden password-protected chat channels (e.g. #botnet [password]) where compromised endpoints receive text-based broadcast commands (.ddos, .scan, .download). |
| 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.
0ba91fcf3b2a3dbe16999be3a6c4b2de0a34fe9a42f36d8f5b40cf392bc6914c4de40ad749e7b2eb26d2466f10c66be91a134372a6b2cbdf7de0d6cfcf52240b
Delivery vectors
Autonomous network worm exploitation over ports 135, 445, and 139 (MS03-026, MS04-011, MS08-067)Peer-to-peer file sharing networks disguised as cracked software utilities
Persistence mechanisms
HKLM\Software\Microsoft\Windows\CurrentVersion\Run entries pointing to system executablesInstallation as a Windows service disguised as legitimate system background tasks
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_SDBOT_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Sdbot"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "sdbot" ascii wide nocase
$s2 = "sdbot" ascii wide nocase
$s3 = "sdbot" ascii wide nocase
$s4 = "win32/sdbot" ascii wide nocase
$s5 = "rbot" ascii wide nocase
$s6 = "spybot" ascii wide nocase
$s7 = "backdoor.sdbot" 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 - Sdbot (Rat) Execution & Triage
id: e215ec81-e61a-553c-b5f6-1b3453abbf67
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Sdbot 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/sdbot
- 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.t1059_003
- attack.t1210
- attack.t1046
- attack.t1071_001
- attack.t1547_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_SDBOT_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Sdbot 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 = "sdbot" 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 Sdbot.
- Inspect active socket listeners and outbound established network connections ('netstat -ano') to identify and sever covert TCP/UDP channels used by Sdbot.
- Scan Windows Services, Scheduled Tasks, and Startup folders to locate and eliminate persistent backdoor listeners configured by Sdbot.
- Invalidate all active VPN profiles, local administrator credentials, and session tokens that may have been harvested by the Sdbot 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 Sdbot 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 Sdbot payloads frequently execute reflectively in memory without writing binaries to disk.
References & External Analysis
- FBI National Press Release - Operation Bot Roast
- CERT Coordination Center - SDBot/Rbot Family Analysis
- MITRE ATT&CK - SDBot
- Search "sdbot" on VirusTotal (External Analysis)
- Search "sdbot" on Any.Run (Sandbox Sandbox)
- Search "sdbot" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is SDBot?
SDBot is an open-source C++ IRC backdoor and worm framework created in 2002 that served as the foundation for the Rbot, Agobot, and Spybot botnet families.
What was the FBI's Operation Bot Roast?
Operation Bot Roast was a major FBI initiative launched in 2007 that identified and disrupted over 1 million computers infected with SDBot and related botnets and prosecuted key criminal operators.
How did SDBot propagate autonomously across networks?
SDBot scanned random IP address blocks for vulnerable network services, exploiting buffer overflows like MS03-026 (DCOM RPC) and MS04-011 (LSASS) without requiring victim interaction.
What communication protocol does SDBot use?
SDBot connects to IRC servers over TCP (ports 6667 or 7000) and joins a designated channel, listening for administrative commands from the botnet master.
How can network administrators detect SDBot?
Monitor for unauthorized outbound IRC traffic on port 6667, inspect internal network logs for automated port scanning across ports 135 and 445, and ensure RPC security patches are deployed.
How do I remove the Sdbot Rat from Windows?
Manual removal of Sdbot 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 Sdbot a virus or a Rat?
Sdbot is classified as a Rat. Unlike traditional viruses that infect files, modern malware like Sdbot typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Sdbot infection?
Symptoms of Sdbot 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 Sdbot 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/sdbot.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.