Lsslogger

Category: trojan · Aliases: None known · Sample count (EMBER 2018): 4 · Enrichment: expert-seo · Updated: 2026-06-09
Category: TrojanStatus: Automated SignaturePlatform: WINDOWS_PEStage: Execution, PersistenceActor: Unknown / CybercriminalIndustry: Global / OpportunisticMotivation: Opportunistic🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows 7
Executive Summary
Trojan:Win32/Lsslogger is a specialized, stealthy trojan designed exclusively for credential theft, specifically operating as a **Keylogger**.

Table of Contents

Overview

Trojan:Win32/Lsslogger is a specialized, stealthy trojan designed exclusively for credential theft, specifically operating as a **Keylogger**. Unlike broad information stealers that simply scrape browser files, Lsslogger focuses on intercepting user input at the operating system level, capturing passwords, emails, and sensitive communications as they are typed, before they are encrypted by applications.

Understanding Lsslogger (Keyloggers)
To an end-user, Lsslogger is completely invisible; it does not display windows or impact performance. For a security analyst, a keylogger represents a severe breach of confidentiality. It implies that any credential entered on the compromised machine (including highly secure passwords not saved in browsers) is now in the hands of the attacker, often facilitating immediate lateral movement.

Execution and Interception Mechanics
Lsslogger is typically dropped by a primary infection vector, such as a malicious Office macro (`T1566.001`) or a downloader trojan. Once executed, it establishes persistence via the Registry Run keys or hidden scheduled tasks (`T1547.001`). Its core function relies on hooking Windows APIs (`T1056.001`). It uses functions like `SetWindowsHookEx` to intercept keyboard events before they reach the target application (like a web browser or VPN client). The captured keystrokes are recorded into a hidden, often encrypted, log file stored in the `%Temp%` or `System32` directory. Periodically, Lsslogger compresses this log file and exfiltrates it to the attacker, often using simple protocols like SMTP (emailing the logs to a disposable address) or FTP upload (`T1048.003`).

Indicators of Compromise & Impact
The impact is the total compromise of all accounts accessed from the infected machine. Host-based IoCs include EDR alerts for 'Suspicious API Hooking' targeting input functions, and the presence of rapidly growing, encrypted `.dat` or `.log` files in user profile directories. Network IoCs often include anomalous outbound SMTP (port 25, 465, 587) or FTP (port 21) traffic originating from a standard Windows process rather than a legitimate email client.

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-NDFNetwork Data FilteringIsolateT1048.003Inspect non-standard port traffic and block unauthorized ICMP or DNS tunneling protocols at the network perimeter.
D3-PIADProcess Injection Analysis & DetectionDetectT1055Monitor cross-process thread creation (CreateRemoteThread) and asynchronous procedure calls (QueueUserAPC).
D3-MFAMulti-factor AuthenticationHardenT1056.001Enforce FIDO2 / WebAuthn physical tokens to render keystroke-intercepted passwords useless.
D3-RPMRegistry Persistence MonitoringDetectT1547.001Audit and restrict write privileges to user and machine-level Registry Run/RunOnce keys using Endpoint Privilege Management.

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_LSSLOGGER_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Lsslogger"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "lsslogger" 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 - Lsslogger (Trojan) Execution & Triage
id: e3b9a90e-ae2d-5336-a395-cc8ca05a3d47
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Lsslogger malware family. Detects suspicious execution from temporary user
  directories with hidden window flags and background transfer utilities.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/lsslogger
- https://malware-families-catalog.systemhelpdesk.com/defensive/downloader-dropper-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.trojan
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1055
- attack.t1056_001
- attack.t1048_003
- attack.t1547_001
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \cmd.exe
    - \powershell.exe
    - \cscript.exe
    - \wscript.exe
    CommandLine|contains:
    - AppData\Local\Temp
    - -WindowStyle Hidden
    - /e:jscript
    - bitsadmin /transfer
  condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: medium

Tier 3 Attribution Fingerprint Rule (High Fidelity)

Deep signature matching distinctive operational fingerprints and payload characteristics.

rule MALWARE_WIN_LSSLOGGER_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Lsslogger 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 = "lsslogger" 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. Assume ALL credentials typed on the machine (corporate passwords, personal banking, SSH keys) are compromised and force immediate resets from a known-clean device.
  2. Isolate the endpoint to stop the active exfiltration of the keylogger log files.
  3. Analyze the memory of running processes to identify the specific module performing the API hooking and extract its configuration (which will reveal the attacker's email/FTP drop zone).
  4. Review authentication logs across the network for the compromised user's credentials to detect if the attacker has already used the stolen passwords for lateral movement.

What to Avoid

Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.

  1. Do not assume multi-factor authentication (MFA) provides complete protection; while it helps, a keylogger will capture the username and password, giving the attacker half of what they need.
  2. Avoid relying solely on file deletion; advanced keyloggers often inject their hooking DLLs into legitimate processes like `explorer.exe`, requiring a reboot or process termination to fully unload.

References & External Analysis

Frequently Asked Questions

What is Lsslogger and what threat category does it belong to?

Lsslogger is classified as a Trojan. Documented across security telemetry, it is engineered to execute unauthorized operations, establish persistent footholds on target endpoints, and facilitate malicious campaigns targeting enterprise and individual environments.

How does Lsslogger establish persistence and evade defensive controls?

Lsslogger typically establishes persistence through registry run keys, scheduled tasks, or service installations, while evading signature-based antivirus solutions through code obfuscation, memory injection, or anti-analysis sandbox checks.

What are the essential incident response steps for mitigating a Lsslogger compromise?

Security teams responding to Lsslogger should immediately isolate affected endpoints from the network, perform memory triage to capture volatile forensic artifacts, audit registry and startup persistence mechanisms, revoke exposed user credentials, and restore systems from verified, clean backups.

What secondary payloads and staging behaviors are commonly associated with Lsslogger?

Lsslogger frequently operates as a loader or dropper designed to establish a foothold before downloading and executing secondary high-impact malware payloads. Depending on the threat actor's objectives, these dropped modules can range from ransomware and banking injects to modular infostealers and remote management backdoors.

How can security operations teams effectively detect and hunt for Lsslogger across enterprise endpoints?

Defenders should hunt for Lsslogger by deploying behavioral endpoint detection and response (EDR) rules that monitor suspicious process spawning (such as cmd.exe or powershell.exe spawned from office documents or temporary directories), anomalous outbound network connections from non-browser binaries, and unauthorized modifications to Windows Run keys and scheduled task registries.

How do I remove the Lsslogger Trojan from Windows?

Manual removal of Lsslogger 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 Lsslogger a virus or a Trojan?

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

What are the main symptoms of a Lsslogger infection?

Symptoms of Lsslogger 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 Trojans

Want to prevent Lsslogger 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 team.

Machine-readable

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