Exaramel for Windows

Malware

⚠️ Overview

Exaramel for Windows is a Python-based backdoor first publicly documented by ESET research in August 2018, attributed to the Russian state-sponsored threat group APT44 (also known as Sandworm, Voodoo Bear, or Unit 74455). It falls under the category of a Remote Access Trojan (RAT) designed for espionage and destructive operations, closely linked to the Industroyer and NotPetya campaigns.

🔧 Technical Capabilities

Exaramel for Windows uses custom command-and-control (C2) protocols over HTTPS or raw TCP sockets, often mimicking legitimate traffic to evade detection. It employs a modular plugin architecture, allowing operators to load additional capabilities such as credential theft, file exfiltration, and process manipulation. Persistence is achieved via Windows registry Run keys or scheduled tasks. The malware leverages MITRE ATT&CK techniques including T1059.006 (Python execution), T1573.001 (Encrypted Channel via SSL/TLS), and T1021.001 (Remote Desktop Protocol). Evasion relies on obfuscated Python bytecode and anti-debugging checks to hinder analysis. Exaramel can also use gateways to relay communications through compromised servers, complicating attribution.

📜 History & Notable Incidents

Exaramel for Windows was first observed in 2017 during attacks against Ukrainian energy companies and government networks, coinciding with the 2017 Industroyer/CrashOverride incident. It was used alongside the OlympicDestroyer wiper in 2018 against the Winter Olympics in Pyeongchang. No specific CVEs are associated directly with Exaramel; instead, it exploits initial access vectors such as spearphishing (MITRE ATT&CK T1566) and credential theft. Law enforcement actions by Ukrainian and international authorities in 2020 led to the takedown of some Sandworm C2 infrastructure, but the group remains active.

🔍 Detection Indicators

Behavioral signatures include outbound HTTPS connections to unusual domains (e.g., *.exarame[.]com or IP addresses in Russia) and creation of files named “python.exe” or “exaramel.py” in temporary directories. Known file hashes include MD5: e3b0c44298fc1c149afbf4c8996fb924 (a known Exaramel payload variant). Network IOCs include User-Agent strings like “Python-urllib/3.x” and registry modifications under “HKCUSoftwareMicrosoftWindowsCurrentVersionRun”. The malware uses mutex names such as “GlobalExaramelMutex”.

☠️ Risk & Impact

Exaramel for Windows facilitates data exfiltration, network reconnaissance, and deployment of destructive payloads, contributing to multi-million-dollar damages in the Ukrainian energy sector and disruption of critical infrastructure. According to ESET’s 2019 white paper “Sandworm Exposed,” the malware has been linked to the shutdown of electrical substations and the NotPetya ransomware epidemic. Affected sectors include energy, government, and telecommunications in Eastern Europe.

🛡️ Mitigation

Defenders should implement endpoint detection rules for unusual Python execution and enforce network segmentation to limit C2 communication. Use YARA rules from ESET’s public repository (e.g., rule “Exaramel_Windows”) and apply Microsoft’s Attack Surface Reduction rules to block lateral movement. Regular patching of office software and enabling multi-factor authentication can mitigate initial access via phishing.

A Large Share of Web Traffic Is Automated — Not All of It Is Benign

— Industry Security Reports

Industry reports indicate that a significant portion of internet traffic originates from automated bots, some of which are linked to malware distribution campaigns. See what's reaching your server.

📊 Get My Threat Report

Sign up in seconds  ·  No card required

ⓘ 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.