Simda

Category: botnet · Aliases: Simda, Win32/Simda, Trojan.Simda, Backdoor.Simda · Sample count (EMBER 2018): 8 · Enrichment: curated_sourced · Updated: 2026-06-09
Category: BotnetStatus: Automated SignaturePlatform: WINDOWS_PEStage: Defense Evasion, ImpactFirst seen: 2009Actor: Unknown / CybercriminalIndustry: Healthcare, Critical Infrastructure, EnterpriseMotivation: Financial Extortion🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows 7
Executive Summary
Simda is a versatile, highly evasive modular botnet and credential-theft trojan first detected in 2009.

Table of Contents

Overview

Simda is a versatile, highly evasive modular botnet and credential-theft trojan first detected in 2009. Engineered with aggressive anti-analysis routines, sandbox-detection algorithms, and server-side polymorphism, Simda was operated as a commercial pay-per-install (PPI) infrastructure, renting out compromised computers to secondary cybercriminals to distribute banking trojans, cryptocurrency miners, and search-hijacking adware. At its peak, the Simda botnet enslaved an estimated 770,000 computers worldwide. In April 2015, the INTERPOL Global Complex for Innovation (IGCI) in Singapore coordinated 'Operation Simda'—a landmark international law enforcement strike in conjunction with the FBI, the Dutch National High Tech Crime Unit (NHTCU), the Police Grand-Ducale of Luxembourg, Russian Ministry of Internal Affairs (Department 'K'), Microsoft's Digital Crimes Unit, Kaspersky Lab, and Trend Micro. The operation seized 14 central command servers across the Netherlands, the United States, Luxembourg, Russia, and Poland, severing the operators' control and effectively dismantling the botnet. Kaspersky subsequently deployed a public IP-lookup portal allowing victims worldwide to check for infections.

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.

→ Explore all Threat Actor & APT Campaign Profiles

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: Simda.A (2009) · Simda.B · Simda.C (Server-Side Polymorphism) · Simda Ppi Loader

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-NTINetwork Traffic InspectionDetectT1105Inspect deep packet payloads for anomalous staging binaries and unauthorized egress protocols.
D3-RBIRemote Browser IsolationIsolateT1189Execute untrusted web browsing sessions in disposable cloud containers to isolate drive-by exploits from local endpoints.
D3-SCMWindows Service Creation MonitoringDetectT1543.003Verify service binary image signatures and restrict standard users from creating or modifying service definitions.
D3-SLASecurity Log Auditing & ForwardingHardenT1562.002Stream endpoint security event logs in real time to immutable cloud SIEM repositories to prevent local log wiping.

Exploited Vulnerabilities (CVEs)

This malware family is documented weaponizing the following common vulnerabilities and exposures:

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.

ProtocolsHTTP, HTTPS, Encrypted Binary Protocol, DGA Fallback
Observed ports80, 443, 8080
Infrastructure modelFast-flux domain architecture with automated daily domain generation algorithms (DGA) querying hundreds of domains across .com, .net, and .info; seized during the April 2015 INTERPOL coordinated strike.
Identifiable from traffic aloneUnrated

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_SIMDA_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Simda"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "simda" ascii wide nocase
        $s2 = "simda" ascii wide nocase
        $s3 = "win32/simda" ascii wide nocase
        $s4 = "trojan.simda" ascii wide nocase
        $s5 = "backdoor.simda" 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 - Simda (Botnet) Execution & Triage
id: 6331d332-02bb-5b56-93fb-b93d50493837
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Simda malware family. Detects firewall rule subversion, internal port proxying,
  and command-and-control keepalive polling indicative of botnet nodes.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/simda
- https://malware-families-catalog.systemhelpdesk.com/defensive/botnet-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.botnet
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1055
- attack.t1056_001
- attack.t1562_001
- attack.t1071_001
- attack.t1568_002
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \netsh.exe
    - \route.exe
    - \arp.exe
    - \ping.exe
    CommandLine|contains:
    - advfirewall firewall add rule
    - netsh interface portproxy
    - ping -n 1 127.0.0.1
  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_SIMDA_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Simda 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 = "simda" 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 the endpoint immediately; Simda acts as a loader, and secondary payloads (like banking trojans) are highly likely to be active.
  2. Manually inspect and clean the `%SystemRoot%\System32\drivers\etc\hosts` file, removing any unauthorized entries.
  3. Use a specialized, enterprise-grade rootkit removal tool or EDR to locate and terminate the hidden Simda services, as standard antivirus may fail to see them.
  4. Given the rootkit capabilities and the likelihood of secondary payload deployment, a complete rebuild of the operating system is highly recommended.

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 automated remediation to fix the `hosts` file; verify the cleanup manually to ensure web traffic is no longer being intercepted.
  2. Avoid closing the incident after removing the initial Simda dropper; you must investigate what secondary payloads it may have downloaded.

References & External Analysis

Frequently Asked Questions

What was the Simda botnet?

Simda was a large-scale commercial botnet that infected over 770,000 computers globally to steal passwords, commit ad click fraud, and distribute secondary malware.

How was Simda dismantled?

In April 2015, an INTERPOL-led coalition including the FBI, Dutch police, Microsoft, and Kaspersky seized 14 command servers across five countries, severing bot communication.

What vulnerabilities did Simda exploit for infection?

Simda was delivered via drive-by downloads using exploit kits targeting Microsoft XML Core Services (CVE-2012-1889) and Silverlight (CVE-2013-0074).

How did Simda prevent removal by antivirus tools?

Simda altered the Windows hosts file to block victim computers from accessing security update domains and terminated security processes via rootkit routines.

How did victims check if they were infected with Simda?

Kaspersky Lab launched a free public portal where users could enter their IP address to see if it appeared in the seized Simda botnet database.

How do I remove the Simda Botnet from Windows?

Manual removal of Simda 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 Simda a virus or a Botnet?

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

What are the main symptoms of a Simda infection?

Symptoms of Simda 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 Botnets

Want to prevent Simda and similar threats from compromising your organization? Read our comprehensive defensive guide: Botnet Protection & Remediation.

📣 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 team.

Machine-readable

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