Hpcubestlr
Overview
Trojan:Win32/Hpcubestlr is a highly specialized Information Stealer (Info-Stealer) specifically engineered to locate, extract, and exfiltrate highly sensitive data from compromised endpoints. Unlike broad-spectrum trojans, Hpcubestlr targets high-value data repositories: saved web browser credentials, cryptocurrency wallet files (`T1114`), system configuration files, and authentication tokens (like Discord or Telegram session hijacking).
Understanding Hpcubestlr (Info-Stealers)
To an end-user, the infection is entirely invisible. For a security team, Hpcubestlr represents an immediate, catastrophic breach of confidentiality. The stolen credentials are often immediately utilized by the attackers for lateral movement, or packaged and sold on dark web marketplaces (like Genesis Market or 2easy) to Initial Access Brokers.
Execution and Extraction Mechanics
Hpcubestlr is distributed through various vectors: cracked software portals, spear-phishing (`T1566.001`), or dropped by other malware (like a botnet). Upon execution, it does not typically establish long-term persistence; its goal is 'smash and grab.' It rapidly scans the file system for known credential store locations (`T1555.003`), utilizing built-in SQLite parsing to extract passwords from Chrome, Edge, and Firefox without requiring user interaction. It specifically targets cryptocurrency extensions (like MetaMask) and desktop wallets (like Electrum or Bitcoin Core). It packages this data into a compressed archive (`T1560.001`) and exfiltrates it immediately to a C2 server, often via a Telegram bot API or a hardcoded FTP server.
Indicators of Compromise & Impact
The impact is the total compromise of the user's digital identity and the high probability of subsequent enterprise breaches if corporate credentials were stolen. Host-based IoCs include EDR alerts for anomalous file reads targeting `AppData\Local\Google\Chrome\User Data` or cryptocurrency wallet directories by an unknown executable. File integrity monitoring may detect the sudden creation and deletion of ZIP or RAR archives in the `%Temp%` directory. Network IoCs include a sudden burst of outbound HTTPS traffic (the exfiltration) immediately following the execution of an untrusted file.
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to the MITRE ATT&CK framework:
| Technique | Name | Tactic |
|---|---|---|
T1555.003 | Credentials from Password Stores: Credentials from Web Browsers (Extracting saved passwords) | Credential Access |
T1114 | Email Collection (Stealing email client data and tokens) | Collection |
T1560.001 | Archive Collected Data: Archive via Utility (Compressing stolen data for exfiltration) | Collection |
T1041 | Exfiltration Over C2 Channel | Exfiltration |
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_HPCUBESTLR {
meta:
description = "Detects Hpcubestlr (trojan)"
author = "SystemHelpdesk Boilerplate Generator"
date = "2026-07-06"
strings:
$s1 = "hpcubestlr" ascii wide nocase
condition:
uint16(0) == 0x5a4d and any of them
}Sigma Rule
title: Suspicious Hpcubestlr Activity
id: 8585b96cfb7ceedf1c9f9e14fdfe2b07
status: experimental
description: Detects generic indicators of the hpcubestlr malware family.
logsource:
category: process_creation
product: windows
detection:
selection:
Image|endswith:
- '\cmd.exe'
- '\powershell.exe'
CommandLine|contains:
- "*hpcubestlr*"
condition: selection
level: mediumContainment & Response Steps
Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.
- Assume ALL credentials stored on the infected machine, or typed during the infection window, are compromised. Initiate immediate password resets.
- Isolate the machine to prevent any further data exfiltration, although the 'smash and grab' is usually completed within minutes of execution.
- Revoke and regenerate all active session tokens (e.g., VPN tokens, Slack/Discord tokens, AWS keys) that were present on the machine.
- Analyze the exfiltration network traffic to determine exactly what data was successfully transmitted to the attacker.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not assume the machine is safe just because the AV deleted the stealer executable; the data has already been stolen and requires immediate remediation.
- Avoid delaying the credential reset process; stolen credentials are often monetized or utilized within hours of the theft.
References & External Analysis
- Search "hpcubestlr" on VirusTotal (External Analysis)
Frequently Asked Questions
How do I remove the Hpcubestlr Trojan from Windows?
Manual removal of Hpcubestlr 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 Hpcubestlr a virus or a Trojan?
Hpcubestlr is classified as a Trojan. Unlike traditional viruses that infect files, modern malware like Hpcubestlr typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Hpcubestlr infection?
Symptoms of Hpcubestlr 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: trojan)
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Protect Your Network Against Trojans
Want to prevent Hpcubestlr and similar threats from compromising your organization? Read our comprehensive defensive guide: Banking Trojan Protection.
Machine-readable
Get this profile as JSON: https://jordan123234-malware-families-explorer.static.hf.space/api/hpcubestlr.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.