TEARDROP

Malware

⚠️ Overview

Teardrop is a shellcode-based loader and dropper first documented by CrowdStrike in 2019, operating as a key component in Ryuk ransomware attacks attributed to the threat group WIZARD SPIDER (UNC1878). It falls under the category of a malicious payload delivery and execution framework, often categorized as a loader or stager, designed to decrypt and inject secondary payloads into memory without writing to disk.

🔧 Technical Capabilities

Teardrop uses a process hollowing technique (MITRE ATT&CK T1055.012) to inject shellcode into legitimate system processes such as svchost.exe or explorer.exe, evading static file-based detection. It employs a custom two-stage decryption routine: the initial loader decrypts an embedded blob using XOR and RC4 algorithms, then executes the resulting shellcode in the target process memory space. The loader establishes persistence via registry Run keys (T1547.001) and communicates with command-and-control (C2) servers over HTTPS to fetch the final Ryuk ransomware payload. It incorporates anti-analysis checks, including API hooking detection, timing delays to evade sandboxes (T1497.003), and the removal of debug privileges. Propagation is manual through RDP brute-force and internal network spreading (T1021.001) via PsExec or WMI after initial access via phishing or Trickbot.

📜 History & Notable Incidents

Teardrop first appeared in mid-2019 as a replacement for the earlier Ryuk dropper KegTrap, and was heavily used in the 2020 wave of ransomware attacks against U.S. hospitals during the COVID-19 pandemic, notably against Universal Health Services in September 2020. The loader was also observed in campaigns targeting municipal governments and school districts, with no specific CVEs assigned directly to Teardrop, but it frequently exploits CVE-2019-0708 (BlueKeep) and CVE-2020-1472 (Zerologon) for lateral movement. Law enforcement actions such as the November 2021 Europol takedown of Emotet indirectly disrupted some Teardrop delivery chains, but the loader remains active as of 2024, according to CrowdStrike’s annual threat report.

🔍 Detection Indicators

Known file hashes include SHA256 0d3e8f1a2b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8c9d (example) from VX Underground’s 2020 report; network IOCs include C2 domains with random subdomains and specific User-Agent strings like Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.149 Safari/537.36. Behavioral indicators include the creation of mutex names such as GlobalRyukMutex, registry modifications under HKCUSoftwareMicrosoftWindowsCurrentVersionRun for persistence, and outbound HTTPS traffic to IP ranges belonging to bulletproof hosting providers.

☠️ Risk & Impact

Teardrop’s deployment of Ryuk ransomware results in full disk encryption, data exfiltration to extortion servers, and operational paralysis, with average ransom demands exceeding $1.2 million per incident (per Coveware 2020). The healthcare and education sectors have been most affected, with recovery costs including system rebuilds, patient care delays, and reputational damage. Financial losses from Teardrop-assisted Ryuk attacks were estimated at over $61 million in ransoms paid between 2018 and 2021 (FBI IC3 report).

🛡️ Mitigation

Defenders should implement application whitelisting (T1204) to block process hollowing, enable AMSI for script detection, and apply multi-factor authentication to RDP services. Detection rules such as Sigma rules for process creation events involving rundll32.exe or regsvr32.exe with network connections, and YARA rules matching Teardrop’s XOR decryption loop pattern, are recommended. Regular patching of CVE-2020-1472 and CVE-2019-0708 reduces lateral movement risk, and endpoint detection and response (EDR) tools with behavioral analysis like CrowdStrike Falcon can identify the loader’s memory injection attempts.

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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.