Overview

Executive Summary

Snifula is a specialized information-stealing Trojan (Info Stealer) that focuses primarily on intercepting and extracting credentials and financial data as they transit the network or are entered into specific applications. Unlike massive, multi-function botnets, Snifula acts as a targeted surveillance tool, silently capturing login details, banking sessions, and FTP credentials to facilitate immediate financial fraud or deep network compromise.

Infection Vector and Technical Capabilities

Snifula is typically distributed via targeted spear-phishing campaigns (often disguised as urgent invoices or shipping documents) or silently deployed as a secondary payload by exploit kits hosted on compromised websites. Once active, Snifula employs precise data harvesting techniques:

Network Sniffing and Man-in-the-Browser (MitB): Advanced variants of Snifula can inject code into web browsers (API hooking) to intercept data *before* it is encrypted via HTTPS. This allows the attacker to capture passwords entered into web forms in plaintext.
Form Grabbing and Keylogging: It actively monitors active windows, employing keylogging when the user interacts with specific targeted applications (like banking portals, email clients, or VPN login screens).
Credential Store Extraction: The trojan systematically extracts saved passwords, cookies, and session tokens directly from the local credential stores of popular web browsers (Chrome, Firefox, Edge).

Threat Assessment

A Snifula infection is a critical security incident prioritizing data theft. The immediate risk is financial fraud if banking credentials are stolen. The secondary, often more severe risk, is the theft of corporate VPN or RDP credentials, which allows the attacker (or an Initial Access Broker who purchases the data) to bypass perimeter defenses and establish a permanent foothold.

Incident Response and Remediation

Immediate Network Isolation: The highest priority is to isolate the endpoint to halt the active exfiltration of captured credentials and network traffic logs.
Global Credential Reset: It must be assumed that all passwords entered on or stored within the compromised machine have been stolen. A mandatory, global reset of all associated credentials (including MFA tokens if session cookies were stolen) is absolutely required.
Complete Re-imaging: Due to the deep system hooking required for Man-in-the-Browser attacks, attempting to clean the infection is insufficient. The endpoint must undergo a complete bare-metal wipe and re-image from a trusted baseline.

MITRE ATT&CK Techniques

This family has been observed using the following ATT&CK techniques: T1056.001 T1056.004 T1552.001 T1114

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_SNIFULA {
    meta:
        description = "Detects Snifula (banking_trojan)"
        author = "SystemHelpdesk Boilerplate Generator"
        date = "2026-07-06"
    strings:
        $s1 = "snifula" ascii wide nocase
        $s2 = "trojan.snifula" ascii wide nocase
        $s3 = "spyware.snifula" ascii wide nocase
        $s4 = "win32/infostealer.snifula" ascii wide nocase
    condition:
        uint16(0) == 0x5a4d and any of them
}

Sigma Rule

title: Suspicious Snifula Activity
id: b52e96bc72b1e3e8cef8d2515c087529
status: experimental
description: Detects generic indicators of the snifula malware family.
logsource:
    category: process_creation
    product: windows
detection:
    selection:
        Image|endswith:
            - '\cmd.exe'
            - '\powershell.exe'
        CommandLine|contains:
            - "*snifula*"
            - "*trojan.snifula*"
            - "*spyware.snifula*"
            - "*win32/infostealer.snifula*"
    condition: selection
level: medium

Snifula

Overview

Executive Summary

Infection Vector and Technical Capabilities

Threat Assessment

Incident Response and Remediation

Known aliases

MITRE ATT&CK Techniques

Generated Detections (Boilerplate)

YARA Rule

Sigma Rule

References & External Analysis

Related Families (Category: banking_trojan)

Machine-readable

Ecosystem & Interactive Environments