Arkei Stealer
Stealer⚠️ Overview
Arkei Stealer is a commercial information-stealing malware first observed in the wild around April 2018, according to reports by Proofpoint and other security vendors. It is sold on underground forums as a crimeware-as-a-service product, with its source code later leaked, leading to numerous variants including Vidar and Raccoon Stealer. Arkei Stealer belongs to the stealer category, designed specifically to harvest sensitive data from infected endpoints.
🔧 Technical Capabilities
Arkei Stealer targets browser credential stores, cryptocurrency wallets, FTP clients, email clients, and VPN configurations. It collects saved passwords, cookies, autofill data, and credit card information from Chromium- and Firefox-based browsers by parsing local SQLite databases. The malware uses a C2 infrastructure over HTTP/HTTPS to exfiltrate stolen data, often encoded in base64 or XOR-encrypted JSON payloads. Persistence is achieved through registry Run keys like HKCUSoftwareMicrosoftWindowsCurrentVersionRunArkei and scheduled tasks. Evasion techniques include anti-debugging checks (e.g., IsDebuggerPresent), process hollowing, and packing with UPX or custom cryptors. It also disables Windows Defender via registry manipulation and checks for sandbox environments to avoid analysis. Propagation is primarily via phishing emails with malicious attachments or dropped by downloaders like Emotet and Ursnif.
📜 History & Notable Incidents
First appearing in April 2018, Arkei gained notoriety after its source code was leaked on a Russian-language hacking forum in late 2018, spawning multiple fork variants. In early 2020, security researchers at Recorded Future identified Arkei being distributed via a malvertising campaign targeting users searching for VPN software. No major CVEs are directly associated with Arkei itself, but it leveraged CVE-2018-8174 (Internet Explorer VBScript RCE) in earlier delivery chains. No known law enforcement takedowns have targeted Arkei specifically, though its successor Vidar was implicated in a 2021 campaign by the TA551 threat group using fake email threads.
🔍 Detection Indicators
Known file hashes for Arkei Stealer samples include SHA256 e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 (a common test hash; actual samples vary). Behavioral indicators include rapid enumeration of browser profiles in %LOCALAPPDATA%GoogleChromeUser Data and writes to %TEMP%Arkei.dat. Network indicators include HTTP POST requests to C2 domains with URIs containing base64-encoded strings and User-Agent strings like Mozilla/5.0 (Windows NT 6.1; WOW64; rv:52.0) Gecko/20100101 Firefox/52.0. Registry artifacts include the creation of SoftwareMicrosoftWindowsCurrentVersionRunArkei and ArkeiStealer mutex objects.
☠️ Risk & Impact
Arkei Stealer poses a high risk to individuals and organizations, enabling credential theft leading to account takeovers and lateral movement. The primary damage is data exfiltration of sensitive financial and personal information, with cryptocurrency wallets being a prime target — the malware can steal 20+ different wallet formats including Bitcoin Core and Electrum. Affected sectors include finance, e-commerce, and gaming, with victims often losing cryptocurrency holdings and credentials sold on darknet markets. Financial losses per incident can range from hundreds to thousands of dollars depending on wallet contents.
🛡️ Mitigation
To defend against Arkei Stealer, organizations should enforce multi-factor authentication on all critical accounts and deploy endpoint detection and response (EDR) tools with anti-stealer rules monitoring for anomalous file reads of browser databases. Recommended detection rules include YARA signatures targeting Arkei's typical string patterns (e.g., ArkeiStealer, Arkei.dat) and network IOCs from vendor feeds like Proofpoint ET Pro. Patch CVE-2018-8174 on legacy systems and enforce application whitelisting to block unknown executables.
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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.