⚠️ Overview

Emotet is a modular banking trojan first identified in 2014 by Trend Micro, originally targeting financial institutions in Europe before evolving into a sophisticated malware-as-a-service infrastructure operated by the TA542 threat group. It is classified as a botnet, loader, and information stealer that delivers secondary payloads like ransomware and other banking trojans.

🔧 Technical Capabilities

Emotet propagates primarily through malicious spam (malspam) campaigns using weaponized Microsoft Office documents with macros, PDFs, or link-based lures that download the initial payload. Its command-and-control (C2) infrastructure uses a peer-to-peer (P2P) network with SSL-encrypted communications and employs domain generation algorithms (DGAs) for resilience. Once installed, it establishes persistence via Windows Registry Run keys and scheduled tasks, and performs credential theft from local mail clients and web browsers using hooks and process injection. Evasion techniques include packing, obfuscation, and disabling security tools through process hollowing and AMSI bypasses. Emotet also spreads within networks using brute-forcing of SMB credentials and exploiting the EternalBlue vulnerability (CVE-2017-0144) to move laterally.

📜 History & Notable Incidents

First appearing in 2014 as a simple banking trojan, Emotet became one of the most active malware families globally by 2019, with campaigns delivering Ryuk and Conti ransomware. A major law enforcement operation known as "Operation Ladybird" in January 2021, led by Europol and the FBI, disrupted its infrastructure by replacing the malware with a benign update. However, Emotet resurfaced in November 2021 with updated DGA algorithms and a faster P2P communication protocol, exploiting CVE-2021-30563 and CVE-2020-1472 (Zerologon) for lateral movement. High-profile victims included German hospitals and U.S. school systems (e.g., the 2019 attack on the Maryland Department of Labor).

🔍 Detection Indicators

Known file hashes include SHA-256 samples with patterns like `0a92d1c...` (varies per variant). Behavioral indicators include outbound HTTP/HTTPS connections to IP ranges associated with takedown-resilient C2 servers, creation of mutex names such as `{7E3D11D0-9F1D-4F0A-9B1C-8A1E2F3B4C5D}`, and Registry keys under `HKCUSoftwareMicrosoftWindowsCurrentVersionRun` containing random alphanumeric values. Network indicators include User-Agent strings like `Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:60.0) Gecko/20100101 Firefox/60.0` and periodic beaconing to domains generated by DGAs.

☠️ Risk & Impact

Emotet causes significant financial losses through credential theft and enabling ransomware deployments, with total damages estimated by the U.S. Cybersecurity and Infrastructure Security Agency (CISA) at over $1.3 billion between 2014 and 2021. It primarily targets the healthcare, government, education, and financial sectors, leading to data exfiltration of sensitive personal and financial information, system downtime, and remediation costs ranging from $1 million to $10 million per incident.

🛡️ Mitigation

Mitigation strategies include maintaining up-to-date antivirus signatures, disabling macro execution in Microsoft Office for non-admin users, applying patches for CVE-2017-0144 (EternalBlue) and CVE-2020-1472 (Zerologon), and implementing network segmentation. Detection rules based on Sigma, YARA, and Snort signatures are available from the MITRE ATT&CK framework (ID T1588.002) and CISA’s EMET detection guidance, while multi-factor authentication and user training reduce credential theft risk.

ⓘ 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.