Slefdel

Category: ransomware · Aliases: None known · Sample count (EMBER 2018): 2 · Enrichment: expert-seo · Updated: 2026-06-09
Category: RansomwareStatus: Automated SignaturePlatform: WINDOWS_PEStage: Defense Evasion, ImpactActor: Unknown / CybercriminalIndustry: Healthcare, Critical Infrastructure, EnterpriseMotivation: Financial Extortion🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows Server 2022
Executive Summary
Trojan:Win32/Slefdel is a heuristic detection identifying a specific, evasive behavior common in malware droppers and initial stagers: self-deletion (`T1070.004`).

Table of Contents

Overview

Trojan:Win32/Slefdel is a heuristic detection identifying a specific, evasive behavior common in malware droppers and initial stagers: self-deletion (`T1070.004`). This is not a specific malware family, but a tactical indicator. The malware executes, performs its primary function (usually downloading or extracting a much larger, stealthier payload), and then permanently deletes its own original executable file from the disk to eliminate the primary forensic artifact.

Understanding Slefdel (Self-Deleting Droppers)
To an end-user, this action is entirely invisible. For an incident responder, discovering a Slefdel alert means the initial infection vector is gone. The attacker successfully dropped a payload and then burned the bridge behind them. This requires immediate EDR analysis to determine *what* the deleted file actually did before it vanished.

Execution and Evasion Mechanics
Slefdel behavior is typically implemented in the initial dropper (often delivered via phishing - `T1566.001`). Upon execution, the dropper extracts the true malware payload (e.g., a banking trojan or ransomware) into memory or a hidden directory (`T1105`). To delete itself while it is still running (which Windows normally prevents), the malware uses API tricks. A common method is spawning a hidden command shell (`cmd.exe`) with a brief timeout (`ping 127.0.0.1`), instructing it to delete the dropper executable (`del /f /q`) immediately after the dropper process terminates. This leaves the victim machine infected with the payload, but the original dropped file is missing, frustrating traditional file-based AV scanning.

Indicators of Compromise & Impact
The impact depends entirely on the secondary payload that was dropped. The primary IoC is the EDR alert flagging the self-deletion technique. Host-based IoCs require analyzing process trees: look for an initial suspicious executable (often in `%Temp%` or `Downloads`) that spawns `cmd.exe` passing the `/c del` command targeting its own file path. Network IoCs involve identifying any outbound connections made by that initial executable *before* it deleted itself.

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-PBAProcess Spawn AnalysisDetectT1059.003Inspect command-line arguments and anomalous parent-child relationships spawning from cmd.exe.
D3-NTINetwork Traffic InspectionDetectT1105Inspect deep packet payloads for anomalous staging binaries and unauthorized egress protocols.

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_SLEFDEL_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Slefdel"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "slefdel" 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 - Slefdel (Ransomware) Execution & Triage
id: 115c0e9d-5d49-51c3-94b9-35d2289470b3
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Slefdel malware family. Detects volume shadow copy deletion, boot status
  tampering, and recovery inhibition characteristic of modern ransomware operations.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/slefdel
- https://malware-families-catalog.systemhelpdesk.com/defensive/ransomware-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.ransomware
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1070_004
- attack.t1059_003
- attack.t1105
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \vssadmin.exe
    - \wmic.exe
    - \wbadmin.exe
    - \bcdedit.exe
    CommandLine|contains:
    - delete shadows
    - shadowcopy delete
    - resize shadowstorage
    - recoveryenabled no
    - ignoreallfailures
  condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: critical

Tier 3 Attribution Fingerprint Rule (High Fidelity)

Deep signature matching distinctive operational fingerprints and payload characteristics.

rule MALWARE_WIN_SLEFDEL_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Slefdel 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 = "slefdel" 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. Isolate the endpoint immediately; the self-deletion indicates a successful drop of a secondary, likely more dangerous, payload.
  2. Analyze EDR process telemetry meticulously to identify the exact actions taken by the file *before* it spawned the deletion command.
  3. Hunt for newly created files or anomalous registry keys (autostarts) created around the exact timestamp of the self-deletion event.
  4. If possible, recover the deleted dropper executable from volume shadow copies or network packet captures for reverse engineering.

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 threat is mitigated just because the AV scanner says the file is 'removed' or 'not found'; the malware deleted itself on purpose.
  2. Avoid rebooting the machine immediately, as you may lose critical volatile memory containing the *actual* running payload.

References & External Analysis

Frequently Asked Questions

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

Slefdel is classified as a Ransomware. 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 Slefdel establish persistence and evade defensive controls?

Slefdel 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 Slefdel compromise?

Security teams responding to Slefdel 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 cryptographic algorithms and file targeting techniques does Slefdel employ during execution?

Slefdel typically leverages hybrid cryptographic architectures combining symmetric stream or block ciphers (such as AES-256 or ChaCha20) for rapid file encryption with asymmetric algorithms (such as RSA-2048 or Curve25519) to securely protect the session keys. It aggressively targets sensitive file extensions including corporate documents, databases, virtual disks, and backups while systematically executing commands to delete Volume Shadow Copies (vssadmin delete shadows /all /quiet) and disable system recovery options.

Are decryptors available for Slefdel, and what is the recommended recovery procedure?

Decryption availability for Slefdel depends on whether security researchers or law enforcement (such as the No More Ransom initiative) have recovered the master private keys or discovered flaws in its key generation routines. Victims should never pay the extortion demand, as payment fuels criminal operations without guaranteeing file restoration. The recommended recovery procedure entails isolating infected hosts, conducting forensic disk imaging, identifying the root access vector, and restoring validated systems from immutable offline backups.

How do I remove the Slefdel Ransomware from Windows?

Manual removal of Slefdel 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 Slefdel a virus or a Ransomware?

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

What are the main symptoms of a Slefdel infection?

Symptoms of Slefdel 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 Ransomwares

Want to prevent Slefdel and similar threats from compromising your organization? Read our comprehensive defensive guide: Ransomware Containment & Incident Response.

📣 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/slefdel.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.