Perflogger

Category: trojan · Aliases: None known · Sample count (EMBER 2018): 11 · 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
Spyware:Win32/Perflogger is a covert surveillance tool and keylogger designed to secretly record user activity, capture keystrokes, monitor clipboard contents, and exfiltrate sensitive data (such as passwords, financial details, and personal communications) to a remote attacker.<br><br><b>Understanding Perflogger</b><br>To the victim, Perflogger operates entirely invisibly, with no outward signs of infection aside from a potential, minor decrease in system performance.

Table of Contents

Overview

Spyware:Win32/Perflogger is a covert surveillance tool and keylogger designed to secretly record user activity, capture keystrokes, monitor clipboard contents, and exfiltrate sensitive data (such as passwords, financial details, and personal communications) to a remote attacker.

Understanding Perflogger
To the victim, Perflogger operates entirely invisibly, with no outward signs of infection aside from a potential, minor decrease in system performance. For security analysts, a keylogger represents an immediate and total compromise of user credentials and sensitive data. Perflogger is often deployed as a secondary payload by a dropper trojan, or installed manually by an attacker who has already gained initial access.

Execution and Data Capture Mechanics
Perflogger typically establishes persistence via Registry Run keys (`T1547.001`) to ensure it starts immediately upon user login. To capture data, it relies heavily on native Windows API hooking. It utilizes `SetWindowsHookEx` to intercept keyboard input globally across all applications (`T1056.001`). It may also periodically capture screenshots (`T1113`) and monitor the system clipboard for copied passwords (`T1115`). The stolen data is temporarily stored locally in hidden, encrypted log files (`T1005`) before being bundled and exfiltrated to a C2 server via FTP, SMTP (email), or HTTP POST requests (`T1041`).

Indicators of Compromise & Impact
The primary impact is identity theft, credential compromise, and data breach. Incident responders should monitor EDR for suspicious processes injecting DLLs to hook input APIs, or processes frequently reading the clipboard. A strong IoC is an unknown executable in `%AppData%` generating small, steadily growing, heavily obfuscated log files and occasionally sending them outbound over FTP or SMTP.

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-EAFEgress Analysis and FilteringIsolateT1041Enforce perimeter TLS inspection and alert on anomalous outbound data volume ratios transmitting over active C2 channels.
D3-MFAMulti-factor AuthenticationHardenT1056.001Enforce FIDO2 / WebAuthn physical tokens to render keystroke-intercepted passwords useless.
D3-SDScreen Capture DetectionDetectT1113Monitor desktop graphics API calls (BitBlt, GetDC) triggered by non-standard background threads.
D3-CACClipboard Access ControlIsolateT1115Isolate virtual desktop infrastructure (VDI) clipboards and alert on rapid background clipboard querying by non-foreground processes.
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_PERFLOGGER_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Perflogger"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "perflogger" 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 - Perflogger (Trojan) Execution & Triage
id: 9a509bf5-7537-5302-8917-75d00cc57804
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Perflogger 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/perflogger
- 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.t1115
- attack.t1056_001
- attack.t1113
- attack.t1547_001
- attack.t1041
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_PERFLOGGER_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Perflogger 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 = "perflogger" 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 passwords typed on the infected machine, as well as all active session cookies, have been compromised. Enforce immediate resets.
  2. Isolate the endpoint from the network to halt the active exfiltration of the recorded keylog files.
  3. Use EDR to track down the hidden executable responsible for the hooking, and locate the local staging directory where the keylogs are stored.
  4. Terminate the keylogger process and remove its persistence mechanisms from the Registry.

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) will fully protect the user; keyloggers often capture the MFA tokens as they are typed, and some capture session cookies.
  2. Avoid delaying the password reset process; the data is usually exfiltrated rapidly.

References & External Analysis

Frequently Asked Questions

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

Perflogger 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 Perflogger establish persistence and evade defensive controls?

Perflogger 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 Perflogger compromise?

Security teams responding to Perflogger 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 Perflogger?

Perflogger 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 Perflogger across enterprise endpoints?

Defenders should hunt for Perflogger 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 Perflogger Trojan from Windows?

Manual removal of Perflogger 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 Perflogger a virus or a Trojan?

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

What are the main symptoms of a Perflogger infection?

Symptoms of Perflogger 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 Perflogger 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/perflogger.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.