Neutrinopos
Table of Contents
Overview
NeutrinoPoS (also widely tracked in cyber threat intelligence as Kasidet, Trojan:Win32/Kasidet, and MWZLesson) is a notorious Point-of-Sale (PoS) malware family and modular botnet active since late 2013. Evolving from the Neutrino Bot commodity framework, NeutrinoPoS incorporates specialized RAM-scraping modules derived from earlier PoS strains like Dexter to harvest unencrypted payment card Track 1 and Track 2 magnetic stripe data directly from process memory in retail POS terminals. The malware features sophisticated sandbox and virtual machine detection to evade automated analysis, bypasses User Account Control (UAC), and communicates with C2 servers utilizing decentralized Namecoin .bit domains to resist takedowns. Attackers leverage NeutrinoPoS for large-scale credit card data theft, credential logging, and coordinated distributed denial-of-service (DDoS) attacks.
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: Dexter Pos & Neutrino Bot Codebases
Known Derivatives & Downstream Variants: Kasidet 1.2 · Kasidet 2.0 · Mwzlesson
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- T1059.003: Restrict execution of Windows Command Shell (cmd.exe) and block unauthorized batch scripts.
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-FDM | File Data Monitoring | Detect | T1005 | Deploy Data Loss Prevention (DLP) agents to audit sensitive file access and block unauthorized batch file copying. |
D3-RDP | RDP Access Controls & NLA | Harden | T1021.001 | Enforce Network Level Authentication (NLA) on RDP and restrict remote desktop ports via host firewalls. |
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-PBA | Process Spawn Analysis | Detect | T1059.003 | Inspect command-line arguments and anomalous parent-child relationships spawning from cmd.exe. |
D3-SCM | Windows Service Creation Monitoring | Detect | T1543.003 | Verify service binary image signatures and restrict standard users from creating or modifying service definitions. |
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.
7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b
Delivery vectors
invoice_pos.exeorder_details.doc
Persistence mechanisms
HKCU\Software\Microsoft\Windows\CurrentVersion\Run\KasidetClient%AppData%\Kasidet\kasidet.exe
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_NEUTRINOPOS_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Neutrinopos"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "neutrinopos" ascii wide nocase
$s2 = "trojan:win32/neutrinopos" ascii wide nocase
$s3 = "trojan:win32/kasidet" ascii wide nocase
$s4 = "kasidet" ascii wide nocase
$s5 = "mwzlesson" ascii wide nocase
$s6 = "neutrinobot" 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 - Neutrinopos (Trojan) Execution & Triage
id: 1f4b369d-4eb7-5e97-9b24-52f38f5f1f05
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Neutrinopos 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/neutrinopos
- 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.t1003
- attack.t1055
- attack.t1547_001
- attack.t1498
- attack.t1082
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_NEUTRINOPOS_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Neutrinopos 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 = "neutrinopos" 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.
- Immediately sever all infected PoS terminals from the internet and the corporate network to halt the exfiltration of credit card data.
- Capture a forensic RAM image of the infected terminals to confirm the presence of the scraping regex and identify any stolen data still in memory.
- Initiate immediate incident response protocols per PCI-DSS requirements, including notifying acquiring banks and payment processors.
- Identify the lateral movement vector (e.g., exposed RDP, weak service accounts) used to deploy the malware to the PoS segment and close it.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not reboot the PoS terminal until a forensic RAM image is captured; rebooting destroys the evidence of the active RAM scraping.
- Avoid assuming the threat is isolated to a single terminal; PoS malware is almost always deployed network-wide by the attacker.
References & External Analysis
Frequently Asked Questions
What is NeutrinoPoS (Kasidet)?
NeutrinoPoS (Kasidet) is a point-of-sale malware family and botnet that scrapes credit card data from system memory.
How does NeutrinoPoS steal payment card data?
It scrapes RAM of retail processes to extract unencrypted Track 1 and Track 2 magnetic stripe credit card details.
What defense evasion capabilities are built into NeutrinoPoS?
It detects virtual machines, sandboxes, and debuggers, terminating itself if analysis environments are detected.
How does NeutrinoPoS resist command-and-control takedowns?
It uses decentralized Namecoin .bit top-level domains resolved via OpenNIC servers to prevent domain seizure.
How can retail organizations protect payment terminals from NeutrinoPoS?
Deploy point-to-point encryption (P2PE), isolate POS networks, enforce strict application whitelisting, and use EDR.
How do I remove the Neutrinopos Trojan from Windows?
Manual removal of Neutrinopos 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 Neutrinopos a virus or a Trojan?
Neutrinopos is classified as a Trojan. Unlike traditional viruses that infect files, modern malware like Neutrinopos typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Neutrinopos infection?
Symptoms of Neutrinopos 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 Neutrinopos 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/neutrinopos.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.