Pony

Category: infostealer · Aliases: Fareit, Siplog, Trojan:Win32/Fareit, PWS:Win32/Fareit, Pony Stealer · Sample count (EMBER 2018): 10 · Enrichment: curated_sourced · Updated: 2026-10-14
Category: InfostealerStatus: Automated SignaturePlatform: WINDOWS_PEStage: Defense Evasion, ImpactFirst seen: 2011Actor: Unknown / CybercriminalIndustry: Healthcare, Critical Infrastructure, EnterpriseMotivation: Financial Theft🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows Server 2022
Executive Summary
Pony (cataloged across cybersecurity authorities as Fareit, Siplog, Trojan:Win32/Fareit, and PWS:Win32/Fareit) is one of the most prolific commodity information stealers and trojan loaders in malware history.

Table of Contents

Overview

Pony (cataloged across cybersecurity authorities as Fareit, Siplog, Trojan:Win32/Fareit, and PWS:Win32/Fareit) is one of the most prolific commodity information stealers and trojan loaders in malware history. First observed in 2011, Pony was developed in C and assembly language, resulting in an exceptionally compact footprint (often under 50 KB). Pony specializes in harvesting stored credentials from over 100 applications, including major web browsers (Chrome, Firefox, Internet Explorer/Edge), FTP clients (FileZilla, Total Commander, WinSCP), email clients (Outlook, Thunderbird), and cryptocurrency wallet storage. In addition to mass credential harvesting, Pony functions as a versatile loader, downloading secondary payloads such as banking trojans (ZeuS, Gozi, Dridex) and ransomware onto compromised endpoints. Threat actors widely distribute Pony through malicious spam campaigns weaponized with Microsoft Office exploits such as CVE-2017-0199, CVE-2017-11882, and CVE-2012-0158.

Known aliases

Threat reports may refer to this family under multiple names:

Family Pedigree & Lineage

Malware authors regularly fork and iterate upon existing codebases. Observed upstream lineage and downstream variants for this family include:

Derived From / Upstream Ancestry: C/Asm Modular Infostealer Engines

Known Derivatives & Downstream Variants: Pony V1.9 · Pony V2.0 · Fareit Loader

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

Tactical Mitigations

Based on the techniques used by this family, consider the following defensive strategies:

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-PBAProcess Spawn AnalysisDetectT1059.003Inspect command-line arguments and anomalous parent-child relationships spawning from cmd.exe.
D3-WAFWeb Content Filtering & InspectionFilterT1071.001Block newly registered domains (NRDs) and inspect HTTP Host and URI headers for known C2 profiles.
D3-FDAFile Directory Access AuditingDetectT1083Audit and alert on high-frequency recursive directory queries executed by non-system and unclassified binaries.
D3-NTINetwork Traffic InspectionDetectT1105Inspect deep packet payloads for anomalous staging binaries and unauthorized egress protocols.
D3-RPMRegistry Persistence MonitoringDetectT1547.001Audit and restrict write privileges to user and machine-level Registry Run/RunOnce keys using Endpoint Privilege Management.
D3-FPAFile Permission AuditingHardenT1552.001Scan filesystem repositories for plaintext configuration files and restrict access via Least Privilege RBAC controls.
D3-CVHCredential Vault HardeningHardenT1555.003Enable DPAPI master key audit logging and isolate browser SQLite database files within virtualization-based security containers.

Exploited Vulnerabilities (CVEs)

This malware family is documented weaponizing the following common vulnerabilities and exposures:

Indicators of Compromise

Public indicators drawn from CISA advisories and vendor reporting. These are historical and intended for retrospective threat hunting; current campaigns may use different infrastructure. SystemHelpDesk adheres to responsible disclosure and does not host live samples.

File hashes (SHA-256, sample)

Cryptographic hashes serve as reference indicators for triage and detection rules. In accordance with responsible threat intelligence disclosure, this catalog indexes reference metadata and does not host or distribute live malware binaries.

Delivery vectors

Persistence mechanisms

SIEM / EDR Ingestion: Need these reference indicators for threat hunting?

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_PONY_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Pony"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "pony" ascii wide nocase
        $s2 = "fareit" ascii wide nocase
        $s3 = "siplog" ascii wide nocase
        $s4 = "trojan:win32/fareit" ascii wide nocase
        $s5 = "pws:win32/fareit" ascii wide nocase
        $s6 = "pony stealer" 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 - Pony (Infostealer) Execution & Triage
id: 75d4c5dc-55d8-5338-b276-7c72baba398a
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Pony malware family. Detects browser credential database harvesting, master
  key queries, and DPAPI extraction routines typical of modern infostealers.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/pony
- https://malware-families-catalog.systemhelpdesk.com/defensive/infostealer-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.infostealer
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1555_003
- attack.t1552_001
- attack.t1071_001
- attack.t1059_003
- attack.t1547_001
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \cmd.exe
    - \powershell.exe
    - \rundll32.exe
    CommandLine|contains:
    - \Google\Chrome\User Data\Default\Login Data
    - \AppData\Roaming\Mozilla\Firefox\Profiles
    - \AppData\Local\Microsoft\Edge\User Data
    - vaultcmd.exe /list
    - dpapi
  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_PONY_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Pony 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 = "pony" 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. Isolate compromised workstations immediately to prevent secondary ransomware or banking trojan payload drops.
  2. Initiate an urgent, enterprise-wide password reset for all user accounts, web logins, and FTP/email credentials.
  3. Terminate active Pony processes and inspect temporary directories for secondary executables.
  4. Review firewall and proxy logs for HTTP POST requests delivering exfiltrated credential archives.

What to Avoid

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

  1. Do not delay credential revocation following a Pony detection, as stolen logins are rapidly sold on dark web marketplaces.
  2. Avoid storing sensitive administrative and server credentials in unencrypted browser password stores.

References & External Analysis

Frequently Asked Questions

What is the Pony / Fareit malware family?

Pony (Fareit) is a compact, high-efficiency information stealer and loader first identified in 2011 that steals stored credentials and drops secondary malware.

What credentials does Pony target?

It extracts logins and passwords from web browsers, FTP clients, email software, VPN profiles, and cryptocurrency wallets.

How does Pony propagate to victim endpoints?

Pony is predominantly delivered via malicious email campaigns containing exploit documents or disguised as financial invoices.

Which CVE vulnerabilities have been linked to Pony delivery?

Attackers delivering Pony have weaponized Microsoft Office vulnerabilities including CVE-2017-0199, CVE-2017-11882, and CVE-2012-0158.

How can organizations defend against Pony stealer infections?

Implement multi-factor authentication (MFA), patch Microsoft Office vulnerabilities, filter malicious email attachments, and monitor outbound HTTP POST traffic.

How do I remove the Pony Infostealer from Windows?

Manual removal of Pony 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 Pony a virus or a Infostealer?

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

What are the main symptoms of a Pony infection?

Symptoms of Pony 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 Infostealers

Want to prevent Pony and similar threats from compromising your organization? Read our comprehensive defensive guide: InfoStealer Protection & Remediation.

📣 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 Threat Intelligence Team.

Machine-readable

Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/pony.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.