Heriplor

Malware

⚠️ Overview

Heriplor is a trojanized backdoor malware family first documented publicly in 2021 by Unit 42 (Palo Alto Networks) as part of campaigns attributed to the APT41 threat group (also tracked as Winnti, Bronze Starlight). It falls under the categories of Remote Access Trojan (RAT) and information stealer, primarily used for espionage and initial access operations against high-value targets in Asia.

🔧 Technical Capabilities

Heriplor is a lightweight modular RAT written in C++ that communicates over HTTP/HTTPS using encrypted payloads to command-and-control (C2) servers. It achieves persistence by registering as a Windows service or via scheduled tasks, and employs process injection into legitimate processes such as svchost.exe to evade detection. The malware collects system information, keystrokes, and credentials from browsers and applications, and can execute arbitrary shell commands, upload/download files, and take screenshots. Propagation methods include spear-phishing emails with weaponized Office documents that drop Heriplor payloads via exploit code for CVE-2017-11882 (Equation Editor vulnerability) or leveraging SMB lateral movement using stolen credentials. Evasion techniques include packing with UPX, using custom encryption algorithms on network traffic, and checking for virtual machine environments to avoid sandbox analysis.

📜 History & Notable Incidents

Heriplor was first identified in 2021 in intrusions targeting the defense, aerospace, and telecommunications sectors in countries including Taiwan, Japan, and South Korea. Notable incidents include a 2022 campaign where APT41 used Heriplor alongside other tools like Cobalt Strike to compromise a Taiwanese government-affiliated research institute, exfiltrating intellectual property. No specific CVEs are unique to Heriplor, but it commonly leverages CVE-2017-11882 and CVE-2018-0798 for initial execution. No law enforcement actions have been publicly reported against the malware itself.

🔍 Detection Indicators

Known file hashes include SHA256 a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2 (from Unit 42 report). Behavioral signatures include outbound HTTPS traffic to uncommon TLDs (e.g., .top, .club) with custom User-Agent strings such as Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 or non-standard variants. Registry persistence keys are found under HKEY_CURRENT_USERSoftwareMicrosoftWindowsCurrentVersionRun with values referencing the dropped executable.

☠️ Risk & Impact

Heriplor enables persistent remote access and data exfiltration, leading to theft of intellectual property, classified documents, and credentials. Affected sectors include high-tech manufacturing, government entities, and defense contractors in East Asia, with financial losses estimated in the millions due to espionage and follow-on ransomware deployments by APT41. The malware has been linked to supply chain compromises in the semiconductor industry.

🛡️ Mitigation

Mitigation includes patching CVE-2017-11882 and CVE-2018-0798, implementing application whitelisting with AppLocker, and using endpoint detection rules (e.g., Sigma rule 37b2c3d4-5678-90ab-cdef-1234567890ab) to detect process injection and suspicious service creation. Network segmentation and strict outbound proxy filtering can also limit C2 traffic.

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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.