Huntpos

Category: advanced_threat · Aliases: None known · Sample count (EMBER 2018): 2 · Enrichment: expert-seo · Updated: 2026-06-09
Category: Advanced_ThreatStatus: 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 Server 2022
Executive Summary
Malware:Win32/Huntpos is a highly destructive and specialized Point-of-Sale (PoS) malware family.

Table of Contents

Overview

Malware:Win32/Huntpos is a highly destructive and specialized Point-of-Sale (PoS) malware family. It is engineered specifically to target retail, hospitality, and food service environments. Its primary objective is to scrape the volatile memory (RAM) of infected PoS terminals to extract unencrypted credit card Track 1 and Track 2 data before the transaction is encrypted and sent to the payment processor. This stolen data is then exfiltrated and sold on dark web carding forums (like Joker's Stash).

Understanding Huntpos (PoS RAM Scrapers)
To a retail employee using the register, the machine functions normally, allowing transactions to process. However, to a security operations center (SOC) or a forensic investigator, a Huntpos infection represents a catastrophic PCI-DSS breach, leading to massive financial liability, brand damage, and regulatory fines (`T1005`).

Execution and Memory Scraping Mechanics
Huntpos is typically deployed after attackers gain initial access to the corporate network (often via compromised Remote Desktop Protocol (RDP) - `T1133` - or phishing) and move laterally to the isolated PoS VLAN. Once executed on a terminal, Huntpos establishes persistence as a Windows Service (`T1543.003`). It operates by continuously iterating through the memory space of running processes (specifically targeting the payment application executable). It uses regular expressions (Regex) to identify data patterns matching the format of credit card magnetic stripe data (Track 1/Track 2) (`T1005`). Once identified, the data is dumped to a hidden, encrypted log file on disk (`T1074.001`) and periodically exfiltrated to an external C2 server via HTTP POST requests (`T1041`).

Indicators of Compromise & Impact
The impact is massive financial fraud resulting from compromised customer payment cards. Host-based IoCs include the presence of unexpected Windows Services on PoS terminals, anomalous DLLs injected into the payment application process, and the existence of encrypted, hidden log files (often disguised with generic names like `syslog.dat` or `winstat.tmp`) in system directories. Network IoCs include the PoS terminal making unexpected outbound HTTP connections to external, non-whitelisted IP addresses.

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

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-FDMFile Data MonitoringDetectT1005Deploy Data Loss Prevention (DLP) agents to audit sensitive file access and block unauthorized batch file copying.
D3-EAFEgress Analysis and FilteringIsolateT1041Enforce perimeter TLS inspection and alert on anomalous outbound data volume ratios transmitting over active C2 channels.
D3-SCMWindows Service Creation MonitoringDetectT1543.003Verify service binary image signatures and restrict standard users from creating or modifying service definitions.

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_HUNTPOS_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Huntpos"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "huntpos" 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 - Huntpos (Advanced Threat) Execution & Triage
id: 9e5b3d30-9de6-5c04-b693-002e6790be4c
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Huntpos malware family. Detects proxy execution, reflective DLL loading,
  and remote command injection associated with modular enterprise backdoors.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/huntpos
- https://malware-families-catalog.systemhelpdesk.com/defensive/backdoor-rat-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.advanced-threat
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1074_001
- attack.t1543_003
- attack.t1005
- attack.t1041
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \powershell.exe
    - \cmd.exe
    - \rundll32.exe
    - \regsvr32.exe
    CommandLine|contains:
    - DownloadString
    - IEX(
    - '/s /n /u /i:'
    - sc create
    - start-process
  condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: high

Tier 3 Attribution Fingerprint Rule (High Fidelity)

Deep signature matching distinctive operational fingerprints and payload characteristics.

rule MALWARE_WIN_HUNTPOS_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Huntpos 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 = "huntpos" 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. Immediately disconnect the infected PoS terminals from the network (unplug the Ethernet cable) to halt the exfiltration of stolen credit card data.
  2. Do NOT reboot or power off the PoS terminal; volatile memory (RAM) contains critical forensic evidence, including the malware's active processes and potentially unencrypted card data.
  3. Engage a specialized Incident Response (IR) firm and a PCI Forensic Investigator (PFI) immediately, as required by PCI-DSS regulations.
  4. Perform a massive enterprise hunt across the entire PoS network VLAN for similar indicators of compromise; PoS malware is rarely deployed to a single machine.

What to Avoid

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

  1. Do not attempt to 'clean' the PoS terminal with standard antivirus; the machine is compromised and must be forensically imaged and then securely wiped.
  2. Avoid communicating about the breach on the compromised corporate network; use out-of-band communication.

References & External Analysis

Frequently Asked Questions

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

Huntpos is classified as a Advanced Threat. 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 Huntpos establish persistence and evade defensive controls?

Huntpos 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 Huntpos compromise?

Security teams responding to Huntpos 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 lateral movement and credential access tactics does Huntpos leverage in enterprise intrusions?

Huntpos frequently utilizes privileged account harvesting techniques such as LSASS memory dumping, Kerberoasting, and token impersonation to escalate privileges. Once administrative credentials are acquired, it pivots across the victim network utilizing living-off-the-land binaries (LOLBins) such as WMI, PowerShell remoting, and PsExec, or abuses remote desktop protocols (RDP) to reach critical internal repositories and domain controllers.

How does Huntpos maintain covert communications and evade perimeter network monitoring?

Huntpos often relies on multi-stage command and control (C2) architectures utilizing encrypted protocols over standard web ports (HTTPS/443 or DNS tunneling) to blend in with legitimate enterprise network traffic. Many variants incorporate proxy networks, domain fronting, or cloud services (such as Microsoft Graph API, Google Drive, or Telegram) to masquerade C2 channels, bypassing traditional signature-based egress filtering.

How do I remove the Huntpos Advanced_Threat from Windows?

Manual removal of Huntpos 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 Huntpos a virus or a Advanced_Threat?

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

What are the main symptoms of a Huntpos infection?

Symptoms of Huntpos 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 Advanced_Threats

Want to prevent Huntpos and similar threats from compromising your organization? Read our comprehensive defensive guide: Think You've Been Hacked? What To Do First.

📣 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/huntpos.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.