BlackSuit

Malware

⚠️ Overview

BlackSuit is a ransomware family first publicly documented in mid‑2023 by Cisco Talos and the BleepingComputer forum, believed to be a rebrand of the Royal ransomware operation after law enforcement pressure against that group. It operates under a ransomware‑as‑a‑service (RaaS) model, with affiliates targeting large enterprises, healthcare, and government sectors. The threat actors behind BlackSuit use a double‑extortion tactic, exfiltrating data before encrypting systems.

🔧 Technical Capabilities

BlackSuit is written in C++ and uses a combination of ChaCha20 and RSA‑4096 for file encryption. It attempts to delete volume shadow copies via vssadmin.exe and disables Windows Recovery features. Persistence is achieved through scheduled tasks or registry RUN keys. For C2 infrastructure, the malware uses Tor‑based .onion domains for negotiation and data leaks, and it communicates over HTTPS with hardcoded IP addresses that are often hosted on bulletproof providers. Evasion techniques include checking for sandbox environments, avoiding encryption of critical system files, and terminating processes that might interfere with encryption (e.g., database servers, backups). Propagation is primarily through compromised RDP credentials, phishing emails with malicious attachments, and by leveraging unpatched vulnerabilities in internet‑facing applications.

📜 History & Notable Incidents

BlackSuit was first observed in July 2023, with its leak site appearing on the dark web by September 2023. The group claimed high‑profile victims including the City of Cleveland, Ohio (August 2023) and multiple educational institutions in the U.S. and Canada. In February 2024, the U.S. Cybersecurity and Infrastructure Security Agency (CISA) and FBI released a joint advisory (AA24‑043A) detailing BlackSuit’s tactics, techniques, and procedures, linking it to the now‑defunct Royal ransomware. No CVEs are directly associated with BlackSuit, but it exploits known vulnerabilities such as CVE‑2023‑27350 (PaperCut) and CVE‑2021‑31207 (Microsoft Exchange) for initial access.

🔍 Detection Indicators

Known file hashes for BlackSuit samples include SHA‑256: 4c6f.... (specific hashes vary per variant; the CISA advisory lists multiple indicators). Behavioral signatures include rapid deletion of Volume Shadow Copies, creation of a ransom note named README.BlackSuit.txt, and file extension appending with .blacksuit or .black. Network IOCs include connections to IPs in Russia‑based autonomous systems and Tor exit nodes. Registry keys such as HKLMSOFTWAREBlackSuit may be created for persistence. A unique mutex named GlobalBSuit_Mutex is used to prevent multiple instances.

☠️ Risk & Impact

BlackSuit causes significant operational disruption through data encryption and double‑extortion, often resulting in weeks of recovery time for targeted organizations. Financial demands have ranged from $100,000 to over $5 million per incident. The healthcare sector has been heavily impacted, with patient care delays reported. In 2024, the group claimed over 60 victims on their leak site, primarily in North America and Europe.

🛡️ Mitigation

Defenders should enforce multi‑factor authentication on RDP, apply patches for known vulnerabilities (e.g., CVE‑2023‑27350), and implement network segmentation to limit lateral movement. CISA recommends using endpoint detection and response (EDR) tools with behavioral analytics, blocking Tor traffic at the perimeter, and maintaining offline backups. The joint advisory AA24‑043A provides Sigma rules and YARA signatures for detection.

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.

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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.