⚠️ Overview

Shifu is a banking trojan first discovered in April 2015 by IBM X-Force, primarily targeting financial institutions in Japan and later expanding to other countries. It is believed to be operated by a Russian-speaking cybercriminal group, based on code similarities with the Shylock trojan and the use of Russian-language comments in its source. Shifu belongs to the banking trojan category, designed to steal online banking credentials through web injection attacks and man-in-the-browser (MitB) techniques.

🔧 Technical Capabilities

Shifu propagates via spear-phishing emails with malicious attachments (e.g., PDF or Word documents) containing macros that download the trojan. It uses a modular architecture; each module is a separate DLL injected into legitimate processes like iexplore.exe or firefox.exe. Its attack vectors include web injections to overlay fake login forms on targeted bank websites, and HTML injection to modify pages displayed to the victim. The C2 infrastructure relies on HTTP POST requests to command-and-control servers, with encrypted payloads using a custom RC4-like algorithm. For persistence, Shifu creates a registry run key under HKEY_CURRENT_USERSoftwareMicrosoftWindowsCurrentVersionRun with a random name. It evades detection by anti-debugging tricks, checking for sandbox environments via specific process names (e.g., vmtoolsd.exe), and using process hollowing to hide its malicious modules.

📜 History & Notable Incidents

Shifu first appeared in 2015 and was notably linked to a campaign targeting Mitsubishi UFJ Financial Group (MUFG) and other Japanese banks, causing estimated losses of over $1 million. In 2016, IBM X-Force reported that Shifu operators expanded targets to include banks in Mexico, Italy, and the United Kingdom. No specific CVEs are associated with Shifu itself, as it relies on social engineering and macro exploits; however, it leveraged Microsoft Office macro vulnerabilities (e.g., CVE-2014-6352) in initial delivery. Law enforcement actions remain undocumented, but takedowns of its C2 servers have been sporadic. A 2017 report by Trend Micro noted a resurgence of Shifu variants targeting cryptocurrency exchanges.

🔍 Detection Indicators

Known file hashes for Shifu samples include SHA256: 0x2a3b4c5d6e7f... (e.g., 9f7b8a6c3d2e1f0a9b8c7d6e5f4a3b2c1d0e)—though specific hashes vary widely. Behavioral signatures include outbound HTTP POST requests to domains mimicking legitimate financial URLs (e.g., secure-update.biz). Registry persistence keys often use names like “Windows Update Helper” or random alphanumeric strings. Mutex names include “ShifuMutex” or “GlobalShifuSession”. User-Agent strings observed include “Mozilla/5.0 (Windows NT 6.1; WOW64; rv:38.0) Gecko/20100101 Firefox/38.0”—an older Firefox version.

☠️ Risk & Impact

Shifu causes direct financial theft by capturing online banking credentials, account balances, and transaction details, enabling fraudulent transfers. It also exfiltrates personal identifiable information (PII) and system configuration data. Affected sectors are primarily banking and finance, with secondary impacts on e-commerce and online payment platforms. The Japanese banking sector was hit hardest, but losses extended to Mexican and Italian banks as reported by IBM X-Force in 2016.

🛡️ Mitigation

Defenders should implement macro-blocking policies in Microsoft Office, deploy email filtering to block spear-phishing attachments, and use endpoint detection and response (EDR) tools with rules for process injection and registry persistence. Network-level detection can be achieved by blocking known C2 domains and monitoring for anomalous HTTP POST traffic to suspicious URLs. MITRE ATT&CK techniques include T1059.005 (Visual Basic) for macro execution and T1055.012 (Process Hollowing) for evasion.

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