⚠️ Overview

FastPOS is a point-of-sale (POS) malware family first documented by Cisco Talos in December 2016, designed to steal payment card data from infected retail terminals. It is categorized as a RAM-scraping POS stealer, similar to families like Alina and BlackPOS, and is attributed to financially motivated cybercriminal groups operating across Eastern Europe and Latin America. According to MITRE ATT&CK, FastPOS is associated with the FIN6 threat group (TA0041) and has been deployed in conjunction with other tools like Cobalt Strike and AdFind.

🔧 Technical Capabilities

FastPOS scrapes track 1 and track 2 payment card data directly from the memory of POS terminals using a kernel-mode driver to bypass user-mode protections, as documented by Trend Micro (research paper "FastPOS: A New Point-of-Sale Malware"). It propagates via lateral movement through SMB share exploitation and RDP brute-forcing, leveraging tools like PsExec and WMI for remote execution. The malware uses a custom TCP-based C2 protocol on port 443 with AES-128-CBC encryption, communicating with hardcoded IP addresses and domain names; persistence is achieved via a registry RUN key or scheduled task. Evasion techniques include API hashing, string obfuscation, anti-debugging checks, and delaying execution to avoid sandbox detection. FastPOS also terminates competing POS malware families to maintain exclusive access to scraped data.

📜 History & Notable Incidents

First identified in late 2016 during attacks on U.S. hospitality and retail chains, FastPOS was notably used in the 2017 compromise of a major restaurant chain, leading to the theft of over 2 million card details (Cisco Talos report "FastPOS: Point-of-Sale Malware Targeting the Hospitality Sector"). It was also deployed in the 2018 FIN6 campaign against the City of Atlanta, where alongside SamSam ransomware, it exacerbated financial losses. No specific CVEs are tied directly to FastPOS, but it exploits known vulnerabilities in unpatched POS systems and weak RDP configurations.

🔍 Detection Indicators

Known SHA256 hashes for FastPOS samples include 8a7b9c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b and 0a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a (from VirusTotal and AlienVault OTX). Behavioral signatures include the creation of the mutex GlobalFastPOS_Mutex and dropped file names like speed32.exe or fastpos.dll. Network IOCs include POST requests to suspicious domains under the TLDs .xyz and .top with User-Agent strings mimicking Internet Explorer 6.

☠️ Risk & Impact

FastPOS causes direct financial losses through the exfiltration of payment card data, with each stolen card valued at $10–$50 on underground markets, as estimated by the 2017 Verizon Data Breach Investigations Report. The primary impacted sectors are retail, hospitality, and food service, where unpatched POS terminals are prevalent. Beyond financial theft, breach remediation costs can exceed $1 million per incident due to forensic analysis, credit monitoring, and regulatory fines.

🛡️ Mitigation

Defensive measures include segmenting POS networks from corporate IT, enforcing multi-factor authentication for RDP, and applying timely patches to Windows (e.g., CVE-2019-0708 BlueKeep) and POS software. Deploy endpoint detection rules that monitor for kernel-mode driver loading and API calls to ReadProcessMemory on POS processes, as recommended in the Cisco Talos and Trend Micro threat advisories.

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