Dalatar

Category: ransomware · Aliases: Trojan.Dalatar, Downloader.Dalatar, Win32/Dalatar · Sample count (EMBER 2018): 1 · Enrichment: insufficient_information · Updated: 2026-07-01T16:27:47Z

Category: RansomwareActor: Unknown / CybercriminalIndustry: Global / OpportunisticMotivation: Opportunistic

Overview

Executive Summary

Dalatar is a malicious Trojan engineered to covertly infiltrate Windows systems, establish persistence, and act as a reliable downloader for remote threat actors. It is frequently utilized in the initial stages of a cyberattack to gather system intelligence and facilitate the automated deployment of secondary, highly destructive malware payloads.

Infection Vector and Technical Capabilities

Dalatar is predominantly distributed through socially engineered spear-phishing campaigns containing malicious attachments (often weaponized Microsoft Office documents utilizing malicious macros) or via compromised software installers downloaded from untrustworthy sources. Upon successful execution, Dalatar operates with a focus on stealth and payload delivery:

System Reconnaissance: The trojan immediately collects detailed system information, including the OS version, installed software, network configuration, and active antivirus solutions. This fingerprint is transmitted to a command-and-control (C2) server.
Persistence: Dalatar ensures it survives system reboots by modifying the Windows Registry (e.g., adding entries to `Run` or `RunOnce` keys) or by creating hidden Scheduled Tasks that execute the malware payload upon user login.
Payload Delivery: Acting as a downloader, Dalatar receives instructions from the C2 server to download and execute secondary malware. This frequently includes info-stealers (to harvest credentials), botnet agents, or ransomware.

Threat Assessment

A Dalatar infection represents a significant breach of the endpoint perimeter. Because it provides remote attackers with the ability to execute arbitrary code, a compromised machine can quickly be utilized to pivot laterally across the corporate network.

Remediation and Eradication

Endpoint Detection and Response (EDR): Configure EDR solutions to monitor for anomalous registry modifications and unauthorized outbound network connections to unknown IP addresses.
Network Isolation and Sweeps: Immediately isolate the infected endpoint. Conduct a thorough forensic sweep to identify not only the Dalatar executable but also any secondary payloads it may have successfully downloaded.
Credential Reset: Because Dalatar often facilitates the deployment of info-stealers, all user credentials associated with the compromised endpoint should be treated as compromised and immediately reset.

Known aliases

Threat reports may refer to this family under multiple names:

MITRE ATT&CK Techniques

This family has been observed using the following ATT&CK techniques: T1105 T1547.001 T1059

Tactical Mitigations

Based on the techniques used by this family, consider the following defensive strategies:

T1059: Restrict execution of scripting languages such as PowerShell, VBScript, or Python to authorized administrators. Enforce Script Block Logging.
T1105: Implement network intrusion detection systems (NIDS) and host-based firewalls to block unauthorized inbound or outbound file transfers.

Generated Detections (Boilerplate)

These YARA and Sigma rules are auto-generated based on the family name and aliases. They must be heavily tuned before deployment in a production environment.

YARA Rule

rule MALWARE_WIN_DALATAR {
    meta:
        description = "Detects Dalatar (ransomware)"
        author = "SystemHelpdesk Boilerplate Generator"
        date = "2026-07-06"
    strings:
        $s1 = "dalatar" ascii wide nocase
        $s2 = "trojan.dalatar" ascii wide nocase
        $s3 = "downloader.dalatar" ascii wide nocase
        $s4 = "win32/dalatar" ascii wide nocase
    condition:
        uint16(0) == 0x5a4d and any of them
}

Sigma Rule

title: Suspicious Dalatar Activity
id: 6ebb553da86556b234976895ab7cc043
status: experimental
description: Detects generic indicators of the dalatar malware family.
logsource:
    category: process_creation
    product: windows
detection:
    selection:
        Image|endswith:
            - '\cmd.exe'
            - '\powershell.exe'
        CommandLine|contains:
            - "*dalatar*"
            - "*trojan.dalatar*"
            - "*downloader.dalatar*"
            - "*win32/dalatar*"
    condition: selection
level: medium

References & External Analysis

Search "dalatar" on VirusTotal (External Analysis)

Frequently Asked Questions

How do I remove the Dalatar Ransomware from Windows?

Manual removal of Dalatar 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 Dalatar a virus or a Ransomware?

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

What are the main symptoms of a Dalatar infection?

Symptoms of Dalatar 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.

Related Families (Category: ransomware)

Explore other malware families in the same category:

Protect Your Network Against Ransomwares

Want to prevent Dalatar and similar threats from compromising your organization? Read our comprehensive defensive guide: Ransomware Protection Guide.

Need help with an active incident? Published by the SystemHelpdesk team.

Machine-readable

Get this profile as JSON: https://jordan123234-malware-families-explorer.static.hf.space/api/dalatar.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.