Dreambot

Category: banking_trojan · Aliases: Trojan:Win32/DreamBot, Trojan:Win32/Ursnif.DreamBot, Win32/DreamBot, DreamBot Banking Trojan, Ursnif-DreamBot · Sample count (EMBER 2018): 17 · Enrichment: curated_sourced · Updated: 2026-10-15
Category: Banking_TrojanStatus: Automated SignaturePlatform: WINDOWS_PEStage: Initial Access, Execution, Persistence, Credential Access, Command And ControlFirst seen: 2014Motivation: Financial Fraud & Banking Credential Theft🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows 8.1
Executive Summary
DreamBot (also recognized as a prominent branch of the Ursnif/ISFB banking trojan family, tracked under designations including Trojan:Win32/DreamBot, Trojan:Win32/Ursnif.DreamBot, and Win32/DreamBot) is a sophisticated modular banking trojan and info-stealer active since 2014.

Table of Contents

Overview

DreamBot (also recognized as a prominent branch of the Ursnif/ISFB banking trojan family, tracked under designations including Trojan:Win32/DreamBot, Trojan:Win32/Ursnif.DreamBot, and Win32/DreamBot) is a sophisticated modular banking trojan and info-stealer active since 2014. Distributed via malspam campaigns containing macro-enabled Microsoft Word/Excel attachments, DreamBot deploys complex anti-analysis techniques including Tor-based C2 communication, Domain Generation Algorithms (DGA), and API hashing. DreamBot injects code into explorer.exe and web browsers, conducting Man-in-the-Browser (MitB) attacks, capturing keystrokes, stealing digital certificates, and intercepting online banking credentials and cryptocurrency wallet data.

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: Trojan:Win32/Ursnif · Trojan:Win32/Isfb

Known Derivatives & Downstream Variants: Trojan:Win32/Dreambot.A · Trojan:Win32/Dreambot.B

MITRE ATT&CK Techniques

This family has been observed using the following ATT&CK techniques: T1185 · T1056.001 · T1055.001 · T1568.002 · T1090.003

→ 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-DIADLL Injection AnalysisDetectT1055.001Monitor remote thread creation (CreateRemoteThread) and unauthorized DLL loading into core Windows processes (svchost.exe, explorer.exe).
D3-MFAMulti-factor AuthenticationHardenT1056.001Enforce FIDO2 / WebAuthn physical tokens to render keystroke-intercepted passwords useless.
D3-OAAOutbound Network Traffic FilteringIsolateT1090.003Restrict outbound connections to known external proxy relays and enforce enterprise forward proxy authentication.
D3-MitBAMan-in-the-Browser AnalysisDetectT1185Deploy browser extension whitelisting and hardware-backed session binding to prevent rogue DOM and socket injection.
D3-DNSRDNS Reputation AnalysisDetectT1568.002Deploy recursive DNS security resolvers with algorithmic domain scoring (entropy and n-gram models) to automatically sinkhole DGA queries.

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_DREAMBOT_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Dreambot"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "dreambot" ascii wide nocase
        $s2 = "trojan:win32/dreambot" ascii wide nocase
        $s3 = "trojan:win32/ursnif.dreambot" ascii wide nocase
        $s4 = "win32/dreambot" ascii wide nocase
        $s5 = "dreambot banking trojan" ascii wide nocase
        $s6 = "ursnif-dreambot" 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 - Dreambot (Banking Trojan) Execution & Triage
id: 0406ce93-c065-5bb7-b29e-5bf8df9f4169
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Dreambot malware family. Detects recon staging, certutil file payload staging,
  and web-inject process proxying characteristic of banking trojan initial loaders.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/dreambot
- https://malware-families-catalog.systemhelpdesk.com/defensive/banking-trojan-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.banking-trojan
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1185
- attack.t1056_001
- attack.t1055_001
- attack.t1568_002
- attack.t1090_003
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \svchost.exe
    - \explorer.exe
    - \msiexec.exe
    - \certutil.exe
    CommandLine|contains:
    - -urlcache
    - -split -f
    - ipconfig /all
    - route print
    - netstat -ano
  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_DREAMBOT_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Dreambot 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 = "dreambot" 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)

References & External Analysis

Frequently Asked Questions

What is Trojan:Win32/DreamBot?

DreamBot is an Ursnif/ISFB-derived modular banking trojan that steals credentials via Tor-based C2 and Man-in-the-Browser attacks.

How does DreamBot conceal its command-and-control communication?

It communicates through Tor onion routing nodes and backup Domain Generation Algorithms (DGA) to evade network blocking.

What browser mechanisms does DreamBot exploit to steal data?

It injects into web browsers (Chrome, Firefox, Edge) to intercept form data, session cookies, and banking credentials.

How is DreamBot delivered to victims?

It is delivered through malicious spam campaigns delivering macro-laced Office documents and weaponized zip archives.

What defensive measures protect against DreamBot infections?

Block inbound emails containing macro-enabled documents, monitor for unauthorized Tor traffic, and enforce hardware MFA.

How do I remove Dreambot from Windows?

Manual removal of Dreambot 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 Dreambot infection?

Symptoms of Dreambot 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 Banking_Trojans

Want to prevent Dreambot and similar threats from compromising your organization? Read our comprehensive defensive guide: Banking Trojan 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/dreambot.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.