Separ

Category: trojan · Aliases: None known · Sample count (EMBER 2018): 5 · 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/Separ is an aggressive credential-stealing malware campaign renowned for its simplicity, effectiveness, and its heavy reliance on legitimate, 'dual-use' utilities to evade antivirus detection.

Table of Contents

Overview

Trojan:Win32/Separ is an aggressive credential-stealing malware campaign renowned for its simplicity, effectiveness, and its heavy reliance on legitimate, 'dual-use' utilities to evade antivirus detection. Separ does not use complex zero-day exploits or advanced rootkit techniques; instead, it uses basic batch scripting and readily available administrative tools to rapidly harvest credentials from browsers and email clients.

Understanding Separ (Living off the Land)
To an end-user, a Separ infection might look like a fleeting command prompt window opening and closing instantly. For a SOC analyst, Separ is a prime example of 'Living off the Land' (LotL) tactics. Because it uses legitimate tools (like NirSoft utilities) to do the actual stealing, traditional signature-based AV often fails to block the activity, assuming the tools are being used by a legitimate administrator.

Execution and Credential Harvesting Mechanics
Separ is typically distributed via spear-phishing emails containing malicious PDF attachments with embedded links, or ZIP files containing a deceptive `.exe` (which is often a self-extracting archive or a compiled batch script) (`T1566.001`). When executed (`T1204.002`), it drops a series of batch files (`.bat`), VBScript files, and legitimate password recovery tools (like `WebBrowserPassView.exe` or `MailPassView.exe`) into a hidden directory. It then uses the batch scripts to silently execute these tools, dumping all saved passwords from Chrome, Firefox, Edge, Outlook, and Thunderbird into a text file (`T1555.003`). The script then uses a command-line FTP client (like `ftp.exe`) to exfiltrate the text file to a compromised server controlled by the attacker (`T1048.003`).

Indicators of Compromise & Impact
The impact is the immediate compromise of all local user credentials. Host-based IoCs include EDR alerts for `cmd.exe` or `wscript.exe` launching known password recovery tools (NirSoft, etc.) from the `%Temp%` or `%AppData%` directory. Network IoCs include outbound FTP connections to unknown or suspicious IP addresses, transferring `.txt` files containing harvested credentials.

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-PBAProcess Spawn AnalysisDetectT1059.003Inspect command-line arguments and anomalous parent-child relationships spawning from cmd.exe.
D3-CVHCredential Vault HardeningHardenT1555.003Enable DPAPI master key audit logging and isolate browser SQLite database files within virtualization-based security containers.
D3-FSFile Sandboxing (Attachment Detonation)IsolateT1566.001Detonate macro-enabled documents, ISOs, and password-protected archives inside an isolated hypervisor.

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_SEPAR_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Separ"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "separ" 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 - Separ (Trojan) Execution & Triage
id: 6123daa5-afe3-50d8-977b-630a2f3019c1
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Separ 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/separ
- 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.t1566_001
- attack.t1048_003
- attack.t1555_003
- attack.t1059_003
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_SEPAR_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Separ 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 = "separ" 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 stored in web browsers or email clients on the infected machine have been compromised, and force immediate enterprise-wide password resets.
  2. Isolate the endpoint to prevent further exfiltration of data.
  3. Review firewall logs to identify the destination IP address used by the FTP exfiltration script, and block it network-wide.
  4. Implement Application Control (like AppLocker or Windows Defender Application Control) to explicitly block the execution of known dual-use password recovery tools.

What to Avoid

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

  1. Do not assume the network is safe just because the AV deleted the initial dropper; the credential harvesting happens in seconds, and the data is likely already gone.
  2. Avoid ignoring alerts for 'Potentially Unwanted Programs' (PUAs) like NirSoft tools, as they are frequently weaponized by campaigns like Separ.

References & External Analysis

Frequently Asked Questions

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

Separ 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 Separ establish persistence and evade defensive controls?

Separ 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 Separ compromise?

Security teams responding to Separ 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 Separ?

Separ 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 Separ across enterprise endpoints?

Defenders should hunt for Separ 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 Separ Trojan from Windows?

Manual removal of Separ 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 Separ a virus or a Trojan?

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

What are the main symptoms of a Separ infection?

Symptoms of Separ 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 Separ 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/separ.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.