Fareit

Overview

Fareit (widely recognized across the threat intelligence community as Pony or Pony Stealer) is one of the most influential and pervasive credential-harvesting implants in the history of cybercrime. First detected around 2011 and created by a Russian developer known as 'Guptill' (Pony Team), Fareit was crafted in native C and assembly to maximize speed and minimize memory overhead. Fareit's primary objective is the automated theft of stored passwords and digital keys: it scans the local host for credentials stored in over 100 applications, including web browsers, FTP clients (FileZilla, Total Commander), email programs (Outlook, Thunderbird), VPN clients, and early cryptocurrency wallets (Bitcoin, Litecoin). Following the public leak of the Pony 1.9/2.0 source code in late 2013, Fareit became a foundational building block across cybercrime syndicates, frequently serving as an initial access dropper that harvested corporate credentials before downloading heavier secondary payloads such as Gameover Zeus, Necurs, or CryptoLocker ransomware.

Known aliases

Threat reports may refer to this family under multiple names:

• Fareit
• Pony
• Pony Stealer
• Pony Loader

Threat Actor Attribution

Attribution is probabilistic, not a science. Each link below states its confidence level and the evidence behind it.

• Pony Team / Leaked Source Community High confidence
  Basis: Authored originally around 2011 by Russian-speaking developer 'Guptill' (Pony Team). Following the late 2013 leak of the complete Pony 1.9/2.0 source code, hundreds of independent threat actors adapted the builder for widespread credential harvesting and as the primary initial loader for Gameover Zeus and CryptoLocker. [source]

Family Pedigree & Lineage

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

Known Derivatives & Downstream Variants: Pony 1.9 · Pony 2.0 · 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:

Tactical Mitigations

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

• T1105: Implement network intrusion detection systems (NIDS) and host-based firewalls to block unauthorized inbound or outbound file transfers.
• T1566.001: Scan email attachments for malicious macros, scripts, or suspicious archive files.

MITRE D3FEND™ Defensive Countermeasures

Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):

Exploited Vulnerabilities (CVEs)

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

• CVE-2017-0199 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
• CVE-2017-11882 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
• CVE-2012-0158 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).

Command & Control (C2) and Network Profile

How this family talks to its operators. C2 traffic can often identify a family even when its code and configuration are hard to analyse. Ports and patterns are historical and change between campaigns, so use them as hunting leads rather than block-only rules.

Network detection ideas

• Alert on HTTP POST requests to URI paths containing /gate.php or /api.php with high-entropy binary bodies
• Block outbound HTTP/HTTPS connections matching known Fareit/Pony C2 server feeds
• Monitor file system access to browser credential databases and FTP client configuration files (e.g. recentservers.xml)

Sources: MITRE ATT&CK S0103: Pony, CISA Alert AA20-302A

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.

• 0f1a92e4ab7d2c3e29f8f41e57c6b4f74d0e82c5f10b27b864a78456a287c800
• c53a74659f170423c91465d3ec62b1e7c53d51786ce45464fb5f4581da9e53be

Delivery vectors

• Malicious spam emails disguised as shipping notices or payment advice with weaponized attachments
• Drive-by download compromises via exploit kits

Persistence mechanisms

• Temporary execution from %TEMP% directory followed by self-deletion after credential harvesting
• Registry Run key in HKCU\Software\Microsoft\Windows\CurrentVersion\Run for loader persistence

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:

rule MALWARE_WIN_FAREIT_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Fareit"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "fareit" ascii wide nocase
        $s2 = "fareit" ascii wide nocase
        $s3 = "pony" ascii wide nocase
        $s4 = "pony stealer" ascii wide nocase
        $s5 = "pony loader" ascii wide nocase
    condition:
        uint16(0) == 0x5a4d and any of them
}

title: SystemHelpDesk Detection - Fareit (Infostealer) Execution & Triage
id: 801ec755-9a5c-5b2a-b890-67aa11a0c27b
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Fareit 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/fareit
- 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.t1539
- attack.t1552_001
- attack.t1041
- attack.t1105
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

rule MALWARE_WIN_FAREIT_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Fareit 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 = "fareit" 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.

1. Isolate the affected workstation from the corporate network immediately to prevent active exfiltration of harvested credentials, cookies, and tokens by Fareit.
2. Force a global session invalidation and mandatory password reset for all cloud applications, corporate email, VPN accounts, and single sign-on (SSO) portals accessed from the machine.
3. Inspect and clean local browser credential databases (e.g. SQLite storage in Google Chrome, Microsoft Edge, Mozilla Firefox) and cryptocurrency wallet directories targeted by Fareit.
4. Capture endpoint memory to identify process injection and terminate rogue background processes executing credential scraping routines.
5. Revoke and re-issue all multi-factor authentication (MFA) session cookies and client TLS certificates present on the compromised workstation.

What to Avoid

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

1. Do not allow users to continue typing passwords or accessing sensitive corporate services on an endpoint actively flagged for Fareit.
2. Avoid assuming credential compromise is limited to local files; all browser-stored cookies and passwords must be treated as exposed.

References & External Analysis

• Malwarebytes: Spyware.Pony
• CISA Advisory: CISA Alert AA20-302A (Top Routinely Exploited Vulnerabilities)
• Search "fareit" on VirusTotal (External Analysis)
• Search "fareit" on Any.Run (Sandbox Sandbox)
• Search "fareit" on MalwareBazaar (Malware Samples)

North American Authority Advisory (CISA / NIST)

The Cybersecurity and Infrastructure Security Agency (CISA) has published an official US federal advisory on this family, which can be mapped to NIST Cybersecurity Framework (CSF) incident response controls: CISA Alert AA20-302A (Top Routinely Exploited Vulnerabilities) ↗

Frequently Asked Questions

Related Threats (Category: Infostealer)

Explore other documented threats in the same operational category:

• Pony
• Dothetuk
• Khalesi
• Berbew
• Ldpinch
• Hploki
• Browserpassview
• Steam

Machine-readable

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