Snifie
Table of Contents
Overview
Executive Summary
Snifie is a specialized Information Stealer and Network Sniffer. Unlike standard info-stealers that rely on extracting passwords from local files (like browser databases), Snifie's primary objective is to silently monitor local network interfaces. It captures and parses raw network traffic (packet sniffing) to intercept unencrypted passwords, FTP credentials, and sensitive data transmitted over the local area network (LAN).Infection Vector and Technical Capabilities
Because it requires administrative privileges to interact directly with network interface cards (NICs), Snifie is typically deployed post-compromise. Threat actors install it after gaining initial access via RDP brute-forcing, exploiting unpatched vulnerabilities, or through the lateral movement phase of an attack. Once executed with elevated privileges, Snifie performs deep packet inspection:- Promiscuous Mode: The malware attempts to place the host's network adapter into "promiscuous mode," allowing it to capture all traffic passing through that network segment, not just traffic destined for the infected machine itself.
- Protocol Parsing: Snifie is specifically coded to parse common, unencrypted protocols such as HTTP (looking for `POST` data containing login forms), FTP, Telnet, POP3, and IMAP, extracting usernames and passwords in real-time.
- Silent Exfiltration: The captured credentials are saved to a hidden log file (often obfuscated or encrypted) and periodically transmitted to the attacker's Command and Control (C2) server.
Threat Assessment
A Snifie infection is a critical security incident that threatens the entire local network segment. If deployed on a central server or a machine connected to a highly trafficked switch, it can passively harvest administrative credentials for the entire domain without triggering standard endpoint alarms.Incident Response and Remediation
- Network Segmentation and Isolation: Immediately isolate the infected machine. Due to the nature of a sniffer, you must assume that any unencrypted traffic that traversed that network segment while the malware was active has been compromised.
- Credential Reset and Protocol Audit: Mandate a reset of all credentials. More importantly, this incident highlights a severe architectural flaw: the use of cleartext protocols. An immediate audit must be conducted to deprecate FTP/Telnet in favor of SFTP/SSH, and enforce HTTPS for all internal applications.
- Endpoint Eradication: Utilize enterprise EDR to locate and terminate the Snifie process and any associated packet capture drivers (e.g., rogue WinPcap installations) it may have deployed.
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 |
|---|---|---|---|
T1040 | Network Sniffing (Stealing credentials in transit) | Credential Access | ATT&CK ↗ |
T1056 | Input Capture | Credential Access | ATT&CK ↗ |
T1048 | Exfiltration Over Alternative Protocol | Exfiltration | ATT&CK ↗ |
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- T1056: Monitor for unauthorized keylogging, screen capturing, or web browser API hooking. Deploy EDR to detect API hooking.
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-NSA | Network Sniffing Detection | Detect | T1040 | Audit promiscuous mode network interface state changes and enforce end-to-end internal traffic encryption. |
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-AHC | API Hook Detection | Detect | T1056 | Deploy kernel and userland EDR drivers to monitor SetWindowsHookEx and low-level keyboard hooks. |
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_SNIFIE_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Snifie"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "snifie" ascii wide nocase
$s2 = "trojan.sniffer.snifie" ascii wide nocase
$s3 = "spyware.snifie" ascii wide nocase
$s4 = "win32/snifie" 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 - Snifie (Advanced Threat) Execution & Triage
id: 0892ed0f-702d-58f4-9e80-f2facebc23cf
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Snifie 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/snifie
- 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.t1040
- attack.t1056
- attack.t1048
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: highTier 3 Attribution Fingerprint Rule (High Fidelity)
Deep signature matching distinctive operational fingerprints and payload characteristics.
rule MALWARE_WIN_SNIFIE_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Snifie 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 = "snifie" 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.
- Enforce forensic network isolation on all suspected endpoints while maintaining an out-of-band telemetry conduit to capture live Snifie adversary activity.
- Perform full memory dumps across identified staging nodes to extract memory-only implants, kernel rootkit hooks, and decrypted Snifie C2 infrastructure IP/domain lists.
- Review Active Directory domain controller authentication logs for anomalous Kerberos ticket requests (Pass-the-Ticket, Golden Ticket) and unauthorized DCSync operations associated with Snifie.
- Block all confirmed C2 domains, dynamic DNS endpoints, and proxy IP addresses across perimeter firewalls, proxies, and DNS security gateways.
- Conduct an enterprise-wide sweep across surrounding subnets for secondary webshells, WMI event subscriptions, or remote execution tooling left behind by Snifie operators.
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 Snifie 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 Snifie 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 "snifie" on VirusTotal (External Analysis)
- Search "snifie" on Any.Run (Sandbox Sandbox)
- Search "snifie" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is Snifie and what threat category does it belong to?
Snifie 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 Snifie establish persistence and evade defensive controls?
Snifie 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 Snifie compromise?
Security teams responding to Snifie 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 Trojan.Sniffer.Snifie leverage in enterprise intrusions?
Trojan.Sniffer.Snifie 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 Trojan.Sniffer.Snifie maintain covert communications and evade perimeter network monitoring?
Trojan.Sniffer.Snifie 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 Snifie Advanced_Threat from Windows?
Manual removal of Snifie 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 Snifie a virus or a Advanced_Threat?
Snifie is classified as a Advanced_Threat. Unlike traditional viruses that infect files, modern malware like Snifie typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Snifie infection?
Symptoms of Snifie 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 Snifie 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.
Machine-readable
Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/snifie.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.