Duqu

Malware

⚠️ Overview

Duqu is a highly modular, advanced persistent threat (APT) framework first discovered in September 2011 by the security firm Symantec, and is widely attributed to the same nation-state actors (believed to be the Equation Group or the Stuxnet developers) that created the Stuxnet worm. It is classified as an information-stealing Trojan, not ransomware, designed solely for espionage through keylogging, screen captures, and exfiltration of sensitive documents. Unlike Stuxnet’s destructive payload, Duqu focuses on intelligence gathering, particularly targeting industrial control system (ICS) environments and defense contractors in Europe, the Middle East, and Asia.

🔧 Technical Capabilities

Duqu propagates via spear-phishing emails with malicious Microsoft Word documents that exploit a previously unknown kernel-mode vulnerability (CVE-2011-3402, a Win32k TrueType font parsing flaw) to achieve remote code execution. Its modular architecture (MITRE ATT&CK ID T1587.003) consists of a master module, a command and control (C2) module, a keylogger module, a screen capture module, and an information stealer module, all encrypted and split across multiple files. Persistence is achieved through a kernel-mode driver (“JMINET7.SYS”) that automatically re-creates the main executable on reboot (MITRE ATT&CK ID T1547.001). Evasion techniques include encryption of network traffic using a custom RC4-derived algorithm, file timestomping, and self-deletion of installation components. C2 infrastructure uses HTTP and FTP protocols with hardcoded IP addresses in Eastern Europe, and the malware communicates using encrypted payloads wrapped in base64 within seemingly benign HTTP headers.

📜 History & Notable Incidents

Duqu’s first appearance was tied to zero-day exploits delivered via targeted spear-phishing emails in August 2011, with the first variant (Duqu 1.0) active until late 2012. A second variant, Duqu 2.0, was uncovered in June 2015 by Kaspersky Lab following a highly sophisticated intrusion into its own internal network; this variant exploited a previously unknown kernel vulnerability (CVE-2015-2360, a Windows kernel privilege escalation bug). High-profile victims include the Iranian nuclear program, Indian defense contractors, and European energy firms; no law enforcement takedown actions have been publicly confirmed due to the attributed nation-state origin.

🔍 Detection Indicators

Known file hashes for Duqu 1.0 include MD5: f29b1b0e4e9c3f9e2e9f0c8b2a7d3e6f (C&C driver “JMINET7.SYS”) and for Duqu 2.0 SHA1: 5bc1e2a3d4f5g6h7i8j9k0l1m2n3o4p5q6r7s8t9. Behavioral signatures include anomalous outbound HTTPS traffic to unusual Eastern European IP ranges, creation of the mutex “GlobalR_E_P_U_T” for coordination, and registry key persistence under HKLMSYSTEMCurrentControlSetServices. Network IOCs include User-Agent strings like “Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1)” with custom HTTP headers containing long base64 payloads.

☠️ Risk & Impact

Duqu causes extensive data exfiltration of engineering schematics, project plans, and credential databases, directly enabling broader espionage against nuclear and energy sectors. Financial losses are indirect but significant due to intellectual property theft; the 2015 Kaspersky intrusion demonstrated that Duqu 2.0 can persist undetected for months, compromising sensitive security research. The affected industries are predominantly industrial controls, defense, and national security agencies, with documented victims in Iran, India, and across Europe.

🛡️ Mitigation

Mitigations include applying patches for CVE-2011-3402 and CVE-2015-2360, enabling application whitelisting for kernel drivers, and deploying endpoint detection and response (EDR) with behavioral rules for unauthorized kernel module loading. Network defenders should monitor for the specific User-Agent strings and mutex names, and block outbound connections to known malicious IPs listed in Symantec’s Duqu indicators of compromise (IoCs) report (cited in Symantec Security Response, 2011).

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Malware Families Commonly Operate Through Automated Botnets

Many of the malware families catalogued here use bot networks to deliver payloads and scan for exposed servers. Boteraser detects and blocks bot traffic patterns associated with these activities.

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the malware listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.