Redline

Category: infostealer · Aliases: RedLine Stealer, RedLineStealer, Trojan:Win32/RedLine, Win32/RedLine.A, MSIL/RedLine, RedLine.C · Sample count (EMBER 2018): 120 · Enrichment: curated_sourced · Updated: 2026-10-16
Category: InfostealerStatus: Automated SignaturePlatform: WINDOWS, WINDOWS_PEStage: Initial Access, Execution, Credential Access, Discovery, Collection, Command And Control, Exfiltration🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows Server 2022
Executive Summary
RedLine Stealer (cataloged across threat research as RedLine, RedLineStealer, and Trojan:Win32/RedLine) is the most ubiquitous and commercially successful information stealer of the modern era, first appearing on Russian-language dark web forums in March 2020.

Table of Contents

Overview

RedLine Stealer (cataloged across threat research as RedLine, RedLineStealer, and Trojan:Win32/RedLine) is the most ubiquitous and commercially successful information stealer of the modern era, first appearing on Russian-language dark web forums in March 2020. Developed in .NET (C#), RedLine is operated under an aggressive Malware-as-a-Service (MaaS) subscription model, offering prospective affiliates standalone builds and access to a centralized management web panel for nominal fees. RedLine is designed to conduct sweeping, automated reconnaissance and theft of sensitive user telemetry across compromised Windows endpoints. Its targeting scope includes stored passwords, autofill form entries, credit card details, and session cookies from all major Chromium-based (Chrome, Edge, Brave, Opera, Vivaldi) and Gecko-based (Firefox) web browsers. Additionally, RedLine harvests session tokens from Discord, Telegram, Steam, and FileZilla, alongside aggressively sweeping for over 40 distinct desktop and browser-extension cryptocurrency wallets (including MetaMask, Phantom, Exodus, Binance, and Atomic Wallet). The malware is distributed through a vast variety of infection vectors, including malvertising campaigns on search engines, fake game cheats and cracked software on YouTube and GitHub, weaponized phishing documents exploiting CVE-2021-40444 and CVE-2023-38831, and initial-access loaders such as SmokeLoader. Network communication utilizes raw TCP sockets or SOAP/HTTP requests with encrypted XML and JSON payloads, frequently disguised as benign web traffic to bypass egress monitoring. RedLine's harvested credential dumps ('logs') form the foundational primary supply for illicit initial-access markets like Genesis Market and Russian Market, routinely enabling subsequent enterprise ransomware intrusions.

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:

Known Derivatives & Downstream Variants: Redline_V1 · Redline_Wcf · Meta_Stealer

MITRE ATT&CK Techniques

This family has been observed using the following ATT&CK techniques: T1555.003 · T1539 · T1005 · T1082 · T1083 · T1071.001 · T1041 · T1027

→ 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-FDMFile Data MonitoringDetectT1005Deploy Data Loss Prevention (DLP) agents to audit sensitive file access and block unauthorized batch file copying.
D3-BDABinary De-obfuscation & UnpackingAnalyzeT1027Utilize memory dump scanners and entropy inspection to unpack encrypted stagers during process creation.
D3-EAFEgress Analysis and FilteringIsolateT1041Enforce perimeter TLS inspection and alert on anomalous outbound data volume ratios transmitting over active C2 channels.
D3-WAFWeb Content Filtering & InspectionFilterT1071.001Block newly registered domains (NRDs) and inspect HTTP Host and URI headers for known C2 profiles.
D3-SDASystem Discovery AnalysisDetectT1082Alert on rapid enumerations of systeminfo, hostname, and registry hardware trees in short intervals.
D3-FDAFile Directory Access AuditingDetectT1083Audit and alert on high-frequency recursive directory queries executed by non-system and unclassified binaries.
D3-CVHCredential Vault HardeningHardenT1555.003Enable DPAPI master key audit logging and isolate browser SQLite database files within virtualization-based security containers.

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_REDLINE_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Redline"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "redline" ascii wide nocase
        $s2 = "redline stealer" ascii wide nocase
        $s3 = "redlinestealer" ascii wide nocase
        $s4 = "trojan:win32/redline" ascii wide nocase
        $s5 = "win32/redline.a" ascii wide nocase
        $s6 = "msil/redline" ascii wide nocase
        $s7 = "redline.c" 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 - Redline (Infostealer) Execution & Triage
id: 1266fb60-b653-5417-8588-c0ffc92bbfe6
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Redline malware family. Detects browser credential database harvesting,
  master key queries, and DPAPI extraction routines typical of modern infostealers.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/redline
- https://malware-families-catalog.systemhelpdesk.com/defensive/infostealer-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.infostealer
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1555_003
- attack.t1539
- attack.t1005
- attack.t1082
- attack.t1083
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \cmd.exe
    - \powershell.exe
    - \rundll32.exe
    CommandLine|contains:
    - \Google\Chrome\User Data\Default\Login Data
    - \AppData\Roaming\Mozilla\Firefox\Profiles
    - \AppData\Local\Microsoft\Edge\User Data
    - vaultcmd.exe /list
    - dpapi
  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_REDLINE_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Redline 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 = "redline" 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

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: AA22-074A ↗

Frequently Asked Questions

What is RedLine Stealer and what does it target?

RedLine Stealer is a .NET information stealer that targets stored browser credentials, autofill data, credit cards, session cookies, cryptocurrency wallets, VPN credentials, and instant messaging tokens from infected Windows endpoints.

How is RedLine Stealer distributed to victims?

RedLine is distributed via search engine malvertising, fraudulent software cracks and game cheats on YouTube/GitHub, phishing emails with malicious document attachments (CVE-2021-40444, CVE-2023-38831), and pay-per-install (PPI) loader networks.

How do threat actors monetize stolen RedLine logs?

Compromised credentials and cookies are packaged into 'logs' and sold on dark web marketplaces such as Genesis Market and Russian Market, or auctioned to initial access brokers who utilize them to infiltrate enterprise corporate networks.

What cryptocurrency wallets does RedLine target?

RedLine sweeps for desktop wallet applications (Exodus, Electrum, Atomic Wallet, Binance) and browser extension wallets (MetaMask, Phantom, Ronin, Coinbase Wallet, TronLink) to steal private keys and seed phrases.

What network protocols does RedLine utilize for C2?

RedLine communicates with its C2 server via raw TCP sockets or HTTP POST requests using Windows Communication Foundation (WCF) SOAP message structures, encrypting stolen data blobs with custom XOR or NetSerializer formats.

How can organizations protect against RedLine Stealer?

Enforce hardware-bound MFA (FIDO2 tokens), disable browser credential storage via Group Policy in favor of enterprise password managers, deploy endpoint behavioral detection for .NET process memory anomalies, and monitor for unauthorized outbound TCP connections on non-standard ports.

What specific Chromium and Gecko browser SQLite databases does RedLine target for cookie and credential theft?

RedLine Stealer aggressively parses user profile folders for Chromium engines (Google Chrome, Microsoft Edge, Brave, Opera) and Gecko engines (Mozilla Firefox). It targets the 'Login Data' database for plaintext passwords, the 'Cookies' or 'Network/Cookies' database for active session tokens, and the 'Web Data' database for autofill forms and saved credit card details, using Windows DPAPI to decrypt sensitive database columns.

How does RedLine leverage SOAP XML and WCF web services for command and control exfiltration?

Unlike simple HTTP-based stealers, RedLine utilizes Windows Communication Foundation (WCF) with NetTcpBinding or SOAP XML web services over raw TCP connections. After collecting endpoint telemetry, it serializes stolen credentials, system hardware profiles, installed antivirus listings, and desktop screenshots into structured XML or binary messages and uploads them directly to the operator's management panel.

How do I remove the Redline Infostealer from Windows?

Manual removal of Redline 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 Redline a virus or a Infostealer?

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

What are the main symptoms of a Redline infection?

Symptoms of Redline 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 Infostealers

Want to prevent Redline and similar threats from compromising your organization? Read our comprehensive defensive guide: InfoStealer 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 threat intelligence team.

Machine-readable

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