Peflog
Table of Contents
Overview
Executive Summary
Peflog (PE File Logger) is a classification for a specific type of Information Stealer (Info-Stealer) focused primarily on monitoring system activity and exfiltrating data. Unlike broader banking trojans, Peflog is designed for targeted espionage, quietly logging keystrokes, capturing screenshots, and aggressively searching the filesystem for specific file types (often source code, documents, or cryptographic keys).Infection Vector and Technical Capabilities
Peflog is typically distributed via spear-phishing campaigns targeting specific individuals or organizations, or it is dropped as a secondary payload by an initial access broker. Upon execution, it performs a highly aggressive, targeted data harvesting operation:- Comprehensive Keylogging: Peflog utilizes advanced API hooking (often `SetWindowsHookEx`) to capture all keystrokes across all applications. This is designed to capture passwords as they are typed, bypassing browser-based password managers or credential vaults.
- Targeted File Exfiltration: The malware continuously scans the local hard drive and mapped network shares for specific file extensions (e.g., `.doc`, `.xls`, `.pdf`, `.key`, `.pem`). It packages these files into hidden, encrypted archives for exfiltration.
- System Profiling and Exfiltration: It collects extensive system details and periodically takes desktop screenshots to monitor user activity. All stolen data is typically exfiltrated via HTTP POST requests or FTP uploads to an attacker-controlled drop server.
Threat Assessment
A Peflog infection is a critical data breach and espionage incident. The malware is designed to operate silently over long periods, continuously bleeding sensitive intellectual property, strategic documents, and user credentials out of the network.Incident Response and Remediation
- Immediate Network Isolation: The highest priority is to physically disconnect the infected machine from the network to halt the active exfiltration of data and prevent the malware from capturing further credentials.
- Global Credential Reset: Because of the pervasive keylogging capabilities, ALL credentials used on that machine—including domain admin passwords, web app logins, and VPN tokens—must be considered compromised and reset immediately.
- Endpoint Eradication: The extent of the data breach and the likelihood of advanced persistence mechanisms necessitate a full forensic review. Re-imaging the machine from a trusted baseline is required to ensure complete eradication.
Known aliases
Threat reports may refer to this family under multiple names:
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:
| Technique | Name | Tactic | Official Spec |
|---|---|---|---|
T1056.001 | Keylogging | Credential Access | ATT&CK ↗ |
T1119 | Automated Collection | Collection | ATT&CK ↗ |
T1048 | Exfiltration Over Alternative Protocol | Exfiltration | ATT&CK ↗ |
T1113 | Screen Capture | Collection | ATT&CK ↗ |
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- T1056.001: Implement Endpoint Detection and Response (EDR) to monitor for suspicious API calls related to keystroke interception. Enforce Multi-Factor Authentication (MFA) to render stolen passwords useless.
- T1113: Monitor for frequent or unauthorized screen captures or clipboard reads. Restrict background applications from accessing desktop APIs.
MITRE D3FEND™ Defensive Countermeasures
Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):
| D3FEND ID | Countermeasure Name | Tactic | Countered ATT&CK | Defensive Guidance |
|---|---|---|---|---|
D3-NDF | Network Data Filtering | Isolate | T1048 | Inspect non-standard port traffic and block unauthorized ICMP or DNS tunneling protocols at the network perimeter. |
D3-MFA | Multi-factor Authentication | Harden | T1056.001 | Enforce FIDO2 / WebAuthn physical tokens to render keystroke-intercepted passwords useless. |
D3-SD | Screen Capture Detection | Detect | T1113 | Monitor desktop graphics API calls (BitBlt, GetDC) triggered by non-standard background threads. |
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_PEFLOG_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Peflog"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "peflog" ascii wide nocase
$s2 = "trojan.peflog" ascii wide nocase
$s3 = "pws.peflog" ascii wide nocase
$s4 = "trojanspy.peflog" 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 - Peflog (Trojan) Execution & Triage
id: 941732a7-6c68-5929-85b4-a0c1217b076a
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Peflog 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/peflog
- 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.t1056_001
- attack.t1119
- attack.t1048
- attack.t1113
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_PEFLOG_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Peflog 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 = "peflog" 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
}
Containment & Response Steps
Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.
- Sever network connectivity for the flagged endpoint to terminate persistent command-and-control (C2) communication channels and stop Peflog from retrieving secondary stage payloads.
- Capture process memory triage to detect and terminate malicious threads injected by Peflog into legitimate system processes such as explorer.exe or svchost.exe.
- Audit Windows Registry Run keys (HKCU\Software\Microsoft\Windows\CurrentVersion\Run) and Task Scheduler entries to locate and purge Peflog persistence hooks.
- Deploy updated enterprise EDR detection signatures and conduct an out-of-band endpoint scan to isolate dropped binaries and staged payloads.
- Rotate all credentials, domain user passwords, and session cookies active on the system during the Peflog execution timeframe.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not assume the incident is resolved simply because an antivirus tool removed the initial Peflog dropper; always verify that secondary payloads and persistence hooks have been eradicated.
- Avoid logging in with Domain Admin or privileged credentials on a machine suspected of running Peflog until memory triage is complete.
- Do not delay host isolation; automated lateral movement and credential dumping can occur within minutes of initial execution.
References & External Analysis
- Search "peflog" on VirusTotal (External Analysis)
- Search "peflog" on Any.Run (Sandbox Sandbox)
- Search "peflog" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is Peflog and what threat category does it belong to?
Peflog 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 Peflog establish persistence and evade defensive controls?
Peflog 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 Peflog compromise?
Security teams responding to Peflog 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 Trojan.Peflog?
Trojan.Peflog 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 Trojan.Peflog across enterprise endpoints?
Defenders should hunt for Trojan.Peflog 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 Peflog Trojan from Windows?
Manual removal of Peflog 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 Peflog a virus or a Trojan?
Peflog is classified as a Trojan. Unlike traditional viruses that infect files, modern malware like Peflog typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Peflog infection?
Symptoms of Peflog 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 Peflog 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.
Machine-readable
Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/peflog.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.