Neurevt

Category: trojan · Aliases: Trojan:Win32/Neurevt, Beta Bot, Trojan.Win32.Neurevt, Win32/Neurevt, BetaBot · Sample count (EMBER 2018): 68 · Enrichment: curated_sourced · Updated: 2026-10-15
Category: TrojanStatus: Automated SignaturePlatform: WINDOWS_PEStage: Defense Evasion, ImpactFirst seen: 2013Actor: Unknown / CybercriminalIndustry: Healthcare, Critical Infrastructure, EnterpriseMotivation: Financial Fraud & Cybercrime Monetization🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows 8.1
Executive Summary
Neurevt (widely recognized across the cybersecurity intelligence ecosystem under the alias Beta Bot, as well as signatures including Trojan:Win32/Neurevt, Trojan.Win32.Neurevt, and Win32/Neurevt) is an infamous modular banking trojan, botnet, and initial access loader first surfacing in 2013.

Table of Contents

Overview

Neurevt (widely recognized across the cybersecurity intelligence ecosystem under the alias Beta Bot, as well as signatures including Trojan:Win32/Neurevt, Trojan.Win32.Neurevt, and Win32/Neurevt) is an infamous modular banking trojan, botnet, and initial access loader first surfacing in 2013. Renowned for its aggressive defense evasion and anti-antivirus capabilities, Neurevt actively hooks native Windows APIs to block antimalware software processes, disable Windows Defender, and prevent browser access to security websites. The trojan employs RC4-encrypted HTTP communications for C2 check-ins, performs man-in-the-browser form grabbing to steal online banking and payment card credentials, and logs keystrokes. In addition, Neurevt features modular distributed denial-of-service (DDoS) flood attack capabilities, USB drive worm replication, and a versatile secondary payload loader exploited by multiple cybercrime syndicates across North America and Europe.

Known aliases

Threat reports may refer to this family under multiple names:

Family Pedigree & Lineage

Malware authors regularly fork and iterate upon existing codebases. Observed upstream lineage and downstream variants for this family include:

Derived From / Upstream Ancestry: Underground Modular Banking Botnets

Known Derivatives & Downstream Variants: Beta Bot 1.8 · Beta Bot 2.0 · Neurevt.Gen

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-PIADProcess Injection Analysis & DetectionDetectT1055Monitor cross-process thread creation (CreateRemoteThread) and asynchronous procedure calls (QueueUserAPC).
D3-MitBAMan-in-the-Browser AnalysisDetectT1185Deploy browser extension whitelisting and hardware-backed session binding to prevent rogue DOM and socket injection.
D3-TRTraffic Rate LimitingIsolateT1498Deploy BGP Flowspec and edge scrubbing proxies to automatically throttle volumetric SYN and UDP reflection attacks.
D3-RPMRegistry Persistence MonitoringDetectT1547.001Audit and restrict write privileges to user and machine-level Registry Run/RunOnce keys using Endpoint Privilege Management.
D3-STASecurity Tool Anti-Tamper EnforcementHardenT1562.001Block unauthorized modification of antivirus registry flags and prevent stopping security agent services.

Indicators of Compromise

Public indicators drawn from CISA advisories and vendor reporting. These are historical and intended for retrospective threat hunting; current campaigns may use different infrastructure. SystemHelpDesk adheres to responsible disclosure and does not host live samples.

File hashes (SHA-256, sample)

Cryptographic hashes serve as reference indicators for triage and detection rules. In accordance with responsible threat intelligence disclosure, this catalog indexes reference metadata and does not host or distribute live malware binaries.

Delivery vectors

Persistence mechanisms

SIEM / EDR Ingestion: Need these reference indicators for threat hunting?

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_NEUREVT_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Neurevt"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "neurevt" ascii wide nocase
        $s2 = "trojan:win32/neurevt" ascii wide nocase
        $s3 = "beta bot" ascii wide nocase
        $s4 = "trojan.win32.neurevt" ascii wide nocase
        $s5 = "win32/neurevt" ascii wide nocase
        $s6 = "betabot" 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 - Neurevt (Trojan) Execution & Triage
id: f3b4af3b-1a00-5f37-b0f2-1944b7b0a3e6
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Neurevt 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/neurevt
- 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.t1562_001
- attack.t1056_001
- attack.t1555_003
- attack.t1055
- attack.t1547_001
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_NEUREVT_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Neurevt 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 = "neurevt" 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. Instantly isolate the endpoint from the network to halt active financial credential theft and sever the botnet C2 connection.
  2. Capture a forensic memory image to extract the active Betabot configuration, which often contains the specific banking URLs being targeted and the C2 infrastructure.
  3. Audit the `HOSTS` file and system DNS settings to reverse any modifications made by the malware to block security updates.
  4. Assume the machine is fully compromised and all credentials entered on it are stolen; perform a clean OS rebuild and enforce global password resets.

What to Avoid

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

  1. Do not trust the endpoint's AV status; Betabot is specifically designed to quietly disable or cripple standard antivirus engines.
  2. Avoid allowing the machine to reboot before capturing memory, as critical configurations and decryption keys reside in RAM.

References & External Analysis

Frequently Asked Questions

What is the Neurevt (Beta Bot) malware family?

Neurevt (Beta Bot) is an aggressive modular banking trojan, botnet, and credential stealer known for neutralizing antivirus software.

How does Neurevt impair endpoint security defenses?

It hooks Windows APIs to terminate antivirus processes, block security update URLs, and disable Windows Defender.

What information is stolen by Neurevt?

It uses web injection and form grabbing to steal banking logins, credit card numbers, and FTP/SSH credentials.

How does Neurevt spread across networks?

Via spearphishing emails, exploit kits, Skype message spam, and removable USB drive worm routines.

How should enterprise security teams disinfect Neurevt?

Isolate the endpoint, run an offline bootable scanner to defeat anti-AV hooks, and reset corporate and financial credentials.

How do I remove the Neurevt Trojan from Windows?

Manual removal of Neurevt 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 Neurevt a virus or a Trojan?

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

What are the main symptoms of a Neurevt infection?

Symptoms of Neurevt 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 Neurevt 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 Threat Intelligence Team.

Machine-readable

Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/neurevt.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.