Firehooker
Table of Contents
Overview
Executive Summary
Firehooker is a highly specialized Information Stealer (Info-Stealer) designed specifically to target web browsers, with a historical focus on Mozilla Firefox (hence the name). Its primary objective is to execute a "man-in-the-browser" (MitB) attack by hooking into the browser's core API functions, allowing threat actors to intercept, record, and steal sensitive credentials, session tokens, and financial data in real-time as the user types them.Infection Vector and Technical Capabilities
Firehooker is typically distributed as a secondary payload, dropped onto a system by an initial access broker, a downloader trojan, or via an exploit kit originating from a compromised website. Upon execution, Firehooker performs advanced, targeted espionage:- Advanced API Hooking (MitB): Instead of relying on a simple, noisy global keylogger, Firehooker injects malicious DLLs directly into the active browser process (e.g., `firefox.exe`, `chrome.exe`). It hooks specific cryptographic and network APIs (like `PR_Write` or `HttpSendRequest`). This allows the malware to capture passwords and credit card numbers *before* they are encrypted via HTTPS/SSL.
- Form Grabbing and Web Injects: Because it sits inside the browser, Firehooker can perform "form grabbing"—stealing data submitted in HTML forms. Advanced variants can dynamically inject malicious HTML fields into legitimate banking websites (e.g., asking for an ATM PIN) to steal additional 2FA data.
- Data Exfiltration: All intercepted data is compiled, encrypted, and exfiltrated via HTTP POST requests to an attacker-controlled command-and-control (C2) server.
Threat Assessment
A Firehooker infection is a critical security incident. Because it operates via API hooking within the browser, the data theft is invisible to the user; the padlock icon still shows a secure HTTPS connection. The stolen session tokens and credentials can be immediately used to execute fraudulent financial transactions or access secure corporate portals.Incident Response and Remediation
- Global Credential Reset: ALL credentials entered on the compromised machine while infected—especially banking passwords, corporate VPN logins, and webmail access—must be considered compromised and reset immediately from a *different, clean device*.
- MFA Token Revocation: Assume session cookies were stolen. Force an immediate sign-out of all active sessions for critical web applications to invalidate the stolen tokens.
- Endpoint Eradication: The sophisticated process injection techniques used by Firehooker necessitate a full forensic review. Re-imaging the machine from a trusted baseline is required to ensure complete eradication and that no hidden hooks remain in the system.
Known aliases
Threat reports may refer to this family under multiple names:
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:
| Technique | Name | Tactic | Official Spec |
|---|---|---|---|
T1185 | Browser Session Hijacking (Ad injection and tracking) | Collection | ATT&CK ↗ |
T1056.001 | Keylogging | Credential Access | ATT&CK ↗ |
T1189 | Drive-by Compromise | Initial Access | ATT&CK ↗ |
T1555.003 | Credentials from Web Browsers | Unknown | ATT&CK ↗ |
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- T1056.001: Implement Endpoint Detection and Response (EDR) to monitor for suspicious API calls related to keystroke interception. Enforce Multi-Factor Authentication (MFA) to render stolen passwords useless.
- T1185: Enforce strong MFA and use browser isolation or hardened browsers for sensitive financial or administrative portals to defeat session hijacking.
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-MFA | Multi-factor Authentication | Harden | T1056.001 | Enforce FIDO2 / WebAuthn physical tokens to render keystroke-intercepted passwords useless. |
D3-MitBA | Man-in-the-Browser Analysis | Detect | T1185 | Deploy browser extension whitelisting and hardware-backed session binding to prevent rogue DOM and socket injection. |
D3-RBI | Remote Browser Isolation | Isolate | T1189 | Execute untrusted web browsing sessions in disposable cloud containers to isolate drive-by exploits from local endpoints. |
D3-CVH | Credential Vault Hardening | Harden | T1555.003 | Enable DPAPI master key audit logging and isolate browser SQLite database files within virtualization-based security containers. |
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_FIREHOOKER_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Firehooker"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "firehooker" ascii wide nocase
$s2 = "trojan.firehooker" ascii wide nocase
$s3 = "pws.firehooker" ascii wide nocase
$s4 = "banker.hooker" 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 - Firehooker (Trojan) Execution & Triage
id: cb50d9f5-2fea-5528-966b-2b7b6d45e859
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Firehooker 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/firehooker
- 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.t1185
- attack.t1056_001
- attack.t1189
- attack.t1555_003
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_FIREHOOKER_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Firehooker 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 = "firehooker" 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.
- Sever network connectivity for the flagged endpoint to terminate persistent command-and-control (C2) communication channels and stop Firehooker from retrieving secondary stage payloads.
- Capture process memory triage to detect and terminate malicious threads injected by Firehooker into legitimate system processes such as explorer.exe or svchost.exe.
- Audit Windows Registry Run keys (HKCU\Software\Microsoft\Windows\CurrentVersion\Run) and Task Scheduler entries to locate and purge Firehooker persistence hooks.
- Deploy updated enterprise EDR detection signatures and conduct an out-of-band endpoint scan to isolate dropped binaries and staged payloads.
- Rotate all credentials, domain user passwords, and session cookies active on the system during the Firehooker execution timeframe.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not assume the incident is resolved simply because an antivirus tool removed the initial Firehooker dropper; always verify that secondary payloads and persistence hooks have been eradicated.
- Avoid logging in with Domain Admin or privileged credentials on a machine suspected of running Firehooker until memory triage is complete.
- Do not delay host isolation; automated lateral movement and credential dumping can occur within minutes of initial execution.
References & External Analysis
- Search "firehooker" on VirusTotal (External Analysis)
- Search "firehooker" on Any.Run (Sandbox Sandbox)
- Search "firehooker" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is Firehooker and what threat category does it belong to?
Firehooker is classified as a Trojan. 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 Firehooker establish persistence and evade defensive controls?
Firehooker 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 Firehooker compromise?
Security teams responding to Firehooker 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 secondary payloads and staging behaviors are commonly associated with Trojan.Firehooker?
Trojan.Firehooker frequently operates as a loader or dropper designed to establish a foothold before downloading and executing secondary high-impact malware payloads. Depending on the threat actor's objectives, these dropped modules can range from ransomware and banking injects to modular infostealers and remote management backdoors.
How can security operations teams effectively detect and hunt for Trojan.Firehooker across enterprise endpoints?
Defenders should hunt for Trojan.Firehooker by deploying behavioral endpoint detection and response (EDR) rules that monitor suspicious process spawning (such as cmd.exe or powershell.exe spawned from office documents or temporary directories), anomalous outbound network connections from non-browser binaries, and unauthorized modifications to Windows Run keys and scheduled task registries.
How do I remove Firehooker from Windows?
Manual removal of Firehooker 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.
What are the main symptoms of a Firehooker infection?
Symptoms of Firehooker 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 Firehooker 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/firehooker.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.