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Researchers analyzed a modified Neutrino malware strain, tracked as Trojan-Banker.Win32.NeutrinoPOS, that targets point-of-sale environments and steals payment card data directly from system memory. The malware delays execution, extracts a Base64-encoded list of command-and-control servers from its body, and checks for active infrastructure through a POST-based handshake using encoded markers including enter and success before sending stolen data.
Beyond card theft, the sample includes broad backdoor functionality that allows operators to download and run files, capture screenshots, search for processes, modify the registry, steal files, and use infected hosts as proxies. Its payment-card theft routine scans process memory for Track 1 and Track 2 data, validates primary account numbers with the Luhn algorithm, and exfiltrates harvested records to its controllers; observed infections were concentrated in Russia and Kazakhstan, with nearly 10% of affected systems belonging to small-business corporate customers.
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Securelist published a technical analysis of a Neutrino malware variant detected as Trojan-Banker.Win32.NeutrinoPOS. The report described its POS card-scraping behavior, C2 validation method, backdoor features, and infection concentrations in Russia and Kazakhstan.
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Palo Alto Networks disclosed **FindPOS**, a Windows point-of-sale malware family built to steal payment card data from POS systems by scraping process memory for track data and sending the results to attacker-controlled servers over HTTP `POST`. Researchers identified at least nine variants compiled as early as late 2014, showing continued development across versions `2.1` through `6.04`. The malware persists with generated eight-character filenames, `Run` registry keys, and a mutex, and it filters processes by owner before scanning memory to improve the quality of stolen card data. Later FindPOS builds added broader intrusion capabilities, including **keylogging** in version `5.90` and the ability to download additional payloads, indicating operators were extending the malware beyond simple card scraping. Palo Alto also linked related samples to theft of **LogMeIn** credentials, suggesting support for gaining or maintaining access to retail environments. Trustwave’s reference to **Alina**, another POS malware strain, underscores the broader criminal focus on Windows-based payment systems as attackers continued refining malware aimed at harvesting cardholder data from retailers.
Aug 14, 2026
Visa detailed two 2020 intrusions at North American hospitality merchants in which attackers compromised user and administrator accounts, moved into cardholder data environments, and deployed point-of-sale malware to steal payment card data. In one case, the attackers used phishing, administrative tools, **PowerShell** loaders, and image files with appended shellcode to install **TinyPOS**; in another, they deployed a mix of **RtPOS**, **MMon/Kaptoxa**, and **PwnPOS** after using remote access tools and credential dumpers. The malware scraped **Track 1** and **Track 2** data from process memory, validated card numbers with the **Luhn** algorithm, and stored harvested data in local log files before exfiltration. Separate malware analysis found strong code and workflow overlaps between **TinyPOS** and the **ProLocker** ransomware family, suggesting the same threat actor may have developed and operated both. Researchers identified shared traits including PowerShell-based delivery, image-appended shellcode, similar staging conventions, and a distinctive shellcode decoding mechanism that appeared almost exclusively in samples tied to the two families. Additional similarities, such as six-character partial process-name lists and low-volume campaign patterns, reinforced the assessment that payment-card theft operations and ProLocker ransomware activity were likely connected, although shared infrastructure was not established.
Aug 15, 2026
Researchers identified **UDPoS**, a point-of-sale malware family that steals payment card data from Windows-based PoS terminals by scraping process memory for **Track 1** and **Track 2** records and exfiltrating the data through fake DNS queries over UDP. The malware disguises itself as legitimate **LogMeIn** or **Intel** update software, installs as a Windows service for persistence, fingerprints infected hosts, and uses structured DNS message types such as `bin`, `info`, `ping`, `trp`, and `note` to send system details and stolen card data to command-and-control infrastructure. The activity reflects the broader evolution of PoS malware from physical skimming to RAM-scraping campaigns that have hit major retail and merchant environments, including malware families such as **Backoff**, **BlackPoS 2.0**, and **GetMyPass**. Researchers said UDPoS appeared to have limited deployment or to be in early development, but its use of DNS for command-and-control and exfiltration gives defenders a clear detection opportunity, particularly in legacy PoS environments where unusual outbound DNS traffic, weak hardening, and poor segmentation can enable card-data theft.
Aug 15, 2026