Report
Threat Actor Spotlight: BlackSuit Ransomware
Arete Analysis
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Executive Summary
Since May 2023, Arete’s Incident Response (IR) team has responded to multiple BlackSuit ransomware engagements against organizations in the healthcare, financial services, manufacturing, professional services, public service, entertainment, and retail sectors. This spotlight explores the ransomware behavior observed, statistics from IR engagements, and background information on the threat actor. Finally, we discuss security recommendations to better defend against this evolving cyber threat and mitigate the risk of financial and reputational losses arising from these incidents.
Incident Response Data on BlackSuit Ransomware
The information below is based on BlackSuit incidents investigated by Arete since May 2023. Our IR and teams work together to analyze key data points during every ransomware engagement and form real-time threat actor (TA) insights.
Arete has investigated dozens of engagements involving BlackSuit.
We have been extremely successful in negotiating discounted ransoms with this TA.
The highest observed ransom demand is around $18 million.
The average initial demand is around $2.5 million.
The average ransom payment facilitated is around $500,000.
Commonly observed methods of intrusions include remote desktop protocol (RDP), virtual private network (VPN), and firewall vulnerabilities.
Tools observed during the investigations include CobaltStrike, WinRAR, PUTTY, Rclone, Advanced IP Scanner, Network Scanner, Mimikatz, and GMER.
A commonly observed ransom note filename is readme.blacksuit.txt.
In some instances, backups were encrypted or deleted, while in others, backups were used for restoration.
Background
The information about the BlackSuit threat actor group in this section was shared in Arete’s 2024 Q1 Crimeware Report.
The most notable newcomer in Q1 was BlackSuit, the third most active group of Q1. Although Arete first observed BlackSuit ransomware operating in May 2023, it only accounted for less than a half percent of the total engagements in 2023. The group significantly increased its activity in Q1 2024, and there were more BlackSuit engagements in February 2024 alone than in all of 2023. BlackSuit operates as a private group without affiliates, targeting both Windows and Linux users and utilizing a double extortion method of stealing and encrypting sensitive data on a victim’s network.
BlackSuit: A Continuation of Royal Ransomware?
The BlackSuit ransomware payload has significant code overlap with Royal ransomware, and the Cybersecurity and Infrastructure Security Agency (CISA) and the FBI believe BlackSuit to likely be a rebranding or spinoff variant of Royal. While BlackSuit could be using the same developer or code with slight modifications, Arete also observed language used by BlackSuit in ransom negotiations identical to previous engagements with Royal, which lends to the assessment that the group might be a rebrand or offshoot. Regardless, BlackSuit’s emergence demonstrates that although names may change, threat actors will find ways to adapt and evolve their operations.

Figure 1. Language from two separate BlackSuit TOR chats (Source: Arete)

Figure 2. Identical language from two separate Royal TOR chats (Source: Arete)
Technical Analysis
Malware analysis revealed that BlackSuit ransomware:
Supports multiple command-line arguments.
Encrypts files on the system and mounted shares.
Adds the following extension to encrypted files: .blacksuit (e.g., file.docx.blacksuit).
Creates a ransom note with the following filename: readme.blacksuit.txt.
Self-identifies the group as BlackSuit in the ransom note.
References a data leak site in the ransom note that, when accessed, self-identifies the group as BlackSuit.
Kills a list of processes and services.
Maintains a list of whitelisted files and directories to make sure it will not render the system unusable, preventing recovery when running a decryptor.
Attempts to prevent system recovery by deleting the system’s volume shadow copies.
Creates the following mutex during execution: WLm87eV1oNRx6P3E4Cy9.
Execution Pattern/Arguments
BlackSuit ransomware needs command line arguments to execute and encrypt files in the system. Command line arguments supported:
Command line argument | Description |
|---|---|
-id [32-byte characters] | Ransomware ID |
-size | Invoked with drag and drop |
-ep | Number that represents the percentage of the file that will be encrypted |
-path [target_directory_path] | Used to specify a target directory to encrypt |
-localonly | Encrypt only the local system |
-networkonly | Encrypt only shared volumes/directory |
-aavm | Encrypt all files |
The ransomware will not execute in the system without the “–id” argument followed by a 32-character value that is unique in each engagement and present in the ransom note TOR URL. Portion of the data in the ransom note that contains the ID:
All your files will be decrypted, your data will be reset, your systems will stay in safe. Contact us through TOR browser using the link: http://c7jpc6h2ccrdwmhofuij7kz6sr2fg2ndtbvvqy4fse23cf7m2e5hvqid[.]onion/?id=[32-characters] | ||
|---|---|---|
Execution of ransomware to encrypt files:
blacksuit.exe -id [32-characters] | ||
|---|---|---|
The ransomware developer coded the logic to allow configuration of the 32-character value in the command line during execution. This same victim-specific 32-character string value is then added to the ransom note URL used for negotiations. Due to this implementation in the ransomware code, threat researchers can execute the ransomware without knowing the 32-character string value, as any value of this type can be used to execute the malicious code. In analyzing Royal ransomware samples, Arete found a similarity in that any 32-character value can be supplied to execute the ransomware, and the value is also added to the ransom note TOR chat URL.
Example of how the ransom note content looks with a randomly supplied string (e.g., blacksuit.exe -id 7777777777777777777777777777777):
All your files will be decrypted, your data will be reset, your systems will stay in safe. Contact us through TOR browser using the link: http://c7jpc6h2ccrdwmhofuij7kz6sr2fg2ndtbvvqy4fse23cf7m2e5hvqid[.]onion/?id=77777777777777777777777777777777777777 | ||
|---|---|---|
Obfuscated Files or Information: Software Packing
Most of the strings in the ransomware are encoded. The encoded strings are hardcoded and decoded at runtime. Every encoded string has its own decoding loop:

Figure 3. Encoded strings hardcoded

Figure 4. String decoding loop
Some relevant strings decoded in memory:
Global\\\WLm87eV1oNRx6P3E4Cy9 | -ep |
Obfuscated Files or Information: Dynamic API Resolution
To avoid static or other defensive analysis, the ransomware uses dynamic API resolution to conceal malware characteristics and functionality. The ransomware initially decrypts DLL names, then loads the APIs. Hardcoded encoded DLL names are shown below:

Figure 5. Encoded DLL names

Figure 6. DLL name decoding loop
DLL names decoded at runtime:
shell32.dll | rstrtmgr.dll |
Stop Services and Processes
Before file encryption, the ransomware terminates a list of known running processes and services to encrypt as many files as possible. BlackSuit ransomware utilizes the Windows Restart Manager to terminate any process using files other than explorer.exe or a critical process.
Sequence of Windows Restart Manager APIs used by the ransomware:
RmStartSession | Starts the Restart Manager session. |
RmRegisterResources | Registers resources, in this case the targeted filename |
RmGetList | Determine which processes or services are using the registered resource (file) |
RmShutdown | Shuts down any identified process or service using the registered resource |
RmEndSession | Closes the Restart Manager session. |
The ransomware also uses Windows native CreateToolhelp32Snapshot, Process32FirstW, and Process32NextW APIs to enumerate processes in the system.
File and Directory Exclusions
The ransomware excludes system-related files and folders, ransomware-related files, and whitelisted extensions during encryption.
Excluded file extensions:
.com .ani .scr .drv .hta .rom .bin .msc .ps1 .shs .adv .msu .prf .bat .idx .mpa .cmd .msi .mod .ocx .ics .386 .sys .rtp .wpx .msp .cab .ldf .lnk .cur .nls .hlp .key .ico .exe .icns .lock .theme .diagpkg .diagcab .nomedia .diagcfg .msstyles .themepack .blacksuit .deskthemepack | ||
|---|---|---|
Excluded files and directories:
“msocache”, “intel”, “$recycle.bin”, “windows”, “windows.old”, “mozilla firefox”, “$WinREAgent”, “boot”, “google”, “perflogs”, “system volume information”, “appdata”, “tor browser”, “$windows.~ws”, “application data”, “$windows.~bt”, “mozilla”, “readme.blacksuit.txt” | ||
|---|---|---|
Inhibit System Recovery
Windows operating systems contain features that can help fix corrupted system files, including shadow copies, which are backups of files created by the Volume Shadow Copy Service (VSS). By deleting shadow copies, the ransomware can prevent victims from restoring files from backups, making it more difficult for them to recover their data without paying the ransom.
With the CreateProcessW function, the ransomware deletes volume shadow copies before file encryption by executing the following command:
cmd.exe /c vssadmin delete shadows /all /quiet | ||
|---|---|---|
Code in the ransomware showing this operation (the EAX register contains the kernel32.CreateProcessW address):

Figure 7. Create process call to delete volume shadow copies
System Network Connections Discovery
BlackSuit ransomware can enumerate network-mounted shares by scanning the network interfaces.
Data Encrypted for Impact
The ransomware initially finds available drives and loads the files one by one using the Windows API FindFirstFileW and FindNextFileW. It then uses OpenSSL AES keys to encrypt the files and adds the extension .blacksuit to the encrypted file name.

Figure 8. Windows native CryptEncrypt API call to encrypt the data
Public key:
—–BEGIN RSA PUBLIC KEY—– MIICIjANBgkqhkiG9w0BAQEFAAOCAg8AMIICCgKCAgEA+O9FGkh466oxay/9u//rycLpGqFwcUSQIy0d27cnpRqq1W4De/boeoJC/HJqkr3WaEqr2JHgjSQcMimTxy8d3NLJT7M3uTVaxXD3Bck83ns5S/WhiF5tQGHtAGetGv8gXYSq/bm6HAlWBMBaOvv4of7ov7/cTAl1pwwgnaYzws4q6C9Q5zwmcU7DFcOohyVqBu/2svUlvtfMJGzYVeUJSUF6E2NMhClxddDLr32wCuoZ567uMBLQB2e5DUTkplR1OdVeyWyxhAXJSjQ5T9LpwuUHNm89nuo25slwlUx2m5a2k6wn2husXhXj+NRN/c2F3zh2qkcgs318XY8es1r3UgIBdCYMMGKsZ0DxKJZ1fq4nU93c+aP0qFBawmYhgIZq6MBYrG23LGbJPZvcC8pkyJrT51ygthCVPtpThqlthdqzqnV+7gPaf/XRwHeLkqawPhe1omd9m7gSuFwIREUe2MW1qZ7p3Nzhf8ZF4/YN7PSN1m6Ve5HS1MgnR9cbj655Jt3lqgW6rillrP+DbdrnjYo7yz2CsxSL3vKVtzcDzsbEFPkAFDyfSrYVxMYCEUJ8jHlctrNo+UiuZTT0O9dbwoGfCSrg8w+V0h8pYaiGnVwwGGkQbLgBAvz+iOOyElbZDLEPJxZ1+ipYzADufQSh8RHh/nXpWirlzQNH7oqrA0fUCAwEAAQ== —–END RSA PUBLIC KEY—– | ||
|---|---|---|
The ransomware encrypts files, adds the .blacksuit extension at the end of the encrypted files, and adds the following bytes at the end of the file (“??” represents variable bytes):
00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 ?? 00 00 00 ?? 00 00 00 | ||
|---|---|---|

Figure 9. “.blacksuit” extension added to the encrypted files

Figure 10. Padding bytes in encrypted files
Upon successful execution, the ransomware creates ransom notes with the file name readme.blacksuit.txt.

Figure 11. Screenshot of BlackSuit ransom note
Modify Registry
The ransomware did not perform any registry key modification.
Mutex
The mutex is the fundamental tool for managing shared resources between multiple threads or processes. Typically, ransomware uses a mutex to avoid reinfecting the victim system and causing multiple layers of encryption. The ransomware creates the following mutex value: “WLm87eV1oNRx6P3E4Cy9”.

Figure 12. Screenshot of the mutex value created while debugging the ransomware
Network Activity
The ransomware did not try to communicate with a remote server other than encrypting data from mounted shares.
Indicators of Compromise
Indicator | Type | Context |
|---|---|---|
f1684fb118d4d8fc56653fcc49e12a659b64c4459ba037fa94f21783235cc6ba | SHA256 hash | BlackSuit ransomware |
C:\readme.blacksuit.txt | File path | BlackSuit ransom note |
.blacksuit | Extension | Encrypted files extension |
vssadmin delete shadows /all /quiet | Process | Volume Shadow Copy deletion |
WLm87eV1oNRx6P3E4Cy9 | Mutex | Mutex value object created by the BlackSuit ransomware |
Any 32-character string | Password | Command line argument needed to properly execute the ransomware. The ransomware developer doesn’t validate it |
c7jpc6h2ccrdwmhofuij7kz6sr2fg2ndtbvvqy4fse23cf7m2e5hvqid [.]onion | URL | TA data leak site (DLS) |
Data Leak Site
The ransom note contains a data leak site (DLS) that displayed the following page, self-identifying the group as BlackSuit:

Figure 13. TOR DLS: c7jpc6h2ccrdwmhofuij7kz6sr2fg2ndtbvvqy4fse23cf7m2e5hvqid[.]onion

Figure 14. TOR DLS: weg7sdx54bevnvulapqu6bpzwztryeflq3s23tegbmnhkbpqz637f2yd[.]onion
Detection Mechanisms
Custom Detections and Blocking with Arete’s Arete Bloktd℠

Yara

Recommended Mitigations
Utilize an endpoint detection and response (EDR) solution with the capability to halt detected processes and isolate systems on the network based on identified conditions.
Block any known attacker C2s in the firewall.
Implement multi-factor authentication on RDP and VPN to restrict access to critical network resources.
Eliminate unnecessary RDP ports exposed to the internet.
Block a high number of SMB connection attempts from one system to others in the network over a short period of time.
Perform periodic dark web monitoring to verify if data is available for sale on the black market.
Perform penetration tests.
Periodically patch systems and update tools.
Monitor connections to the network from suspicious locations.
Monitor downloads and uploads of files to file-sharing services outside standard work hours.
Monitor file uploads from domain controllers to the internet.
Monitor network scans from uncommon servers (e.g., RDP server).
Organizations can find the full list of US government recommended ransomware prevention and mitigation guidance here: https://www.cisa.gov/stopransomware/ransomware-guide.
Arete provides data-driven cybersecurity solutions to transform your response to emerging cyber threats. Learn more.
References
Back to Blog Posts
Article
Europol Disrupts AudiA6 Crypto Laundering Service
European authorities have dismantled AudiA6, a major cryptocurrency laundering service linked to ransomware groups and broader cybercriminal networks. Between 2022 and 2025, the platform is believed to have processed over €336 million in illicit funds, enabling threat actors to obscure financial trails and monetize cybercrime proceeds. Its operators are also suspected of running Dark2Web, a dark web forum that facilitated collaboration, services, and connections among cybercriminals globally. This development underscores the expanding role of sophisticated, large-scale cryptocurrency laundering services in sustaining the cybercrime economy, enabling threat actors to obscure illicit funds and evade regulatory controls.
What’s Notable and Unique
Following law enforcement disruption of Cryptex and Garantex, AudiA6 emerged as another platform involved in financial activities linked to ransomware groups. Investigators believe that AudiA6 became a central hub for cybercriminals seeking to launder stolen digital assets while obscuring the transaction trail from authorities.
On June 10, 2026, a coordinated operation resulted in two arrests in Georgia, the dismantling of key infrastructure (30+ servers, 25 domains), the freezing or seizure of over €778,000 in crypto, and the takedown of the AudiA6 and Dark2Web platforms.
Analyst Comments
Ransomware groups and cybercriminal networks are increasingly leveraging sophisticated techniques, including chain-hopping, decentralized exchanges, and mixer-as-a-service platforms, to rapidly move illicit cryptocurrency across multiple blockchains, effectively obscuring transaction trails. Concurrently, the widespread use of fraudulent exchange accounts, mule wallets, and privacy-enhancing tools has elevated cryptocurrency laundering to a core enabler of the cybercrime ecosystem, allowing actors to bypass anti-money-laundering controls at scale. This investigation identified over 6,000 KYC records linked to money-mule accounts, many of which were tied to Russian-speaking intermediaries specifically recruited to facilitate the movement of illicit proceeds. These threat actors systematically used both commercial and domain-controlled email services to establish mule accounts across multiple cryptocurrency platforms. Collectively, these findings underscore the growing scale, coordination, and professionalization of cryptocurrency-enabled crime, highlighting the critical need for sustained, intelligence-led, and internationally coordinated efforts to disrupt these evolving financial ecosystems.
Sources
Ransomware gangs cut off from EUR 336 million ‘AudiA6’ crypto laundering pipeline
Article
Threat Actors Leverage AI for EDR Evasion
A threat actor has developed and deployed a ransomware attack toolkit enhanced with AI-assisted development workflows, enabling automated Active Directory (AD) discovery and improved EDR evasion capabilities. The toolkit leverages agent-based AI systems, such as Claude’s Opus and Cursor agents, for iterative malware development, testing, and refinement.
What’s Notable and Unique
Researchers have highlighted that this toolkit can not only generate ransomware code but also bypass sophisticated security defenses and identify AD networks for malware distribution.
The framework incorporates multiple capabilities, including automated AD discovery and reconnaissance mechanisms, iterative EDR testing environments to refine evasion techniques, and a command-and-control (C2) infrastructure that leverages Telegram APIs and Cloudflare redirectors for stealth.
Additionally, some agents were tasked with checking security research and technical posts for various bypass techniques. The agents recognized what was required for reproduction, extracted the techniques, mapped them to the MITRE ATT&CK knowledge base of adversary behaviors, set up a test lab, carried out the methodology, and reported the results.
After a few repetitions, the modules seemed to avoid nearly all EDR solutions, despite the agent’s initial suggestion of a high failure rate. Although researchers found no evidence that AI was embedded in deployed malware or was operating independently in victim environments, the technology was still used to accelerate the iterative process of developing, testing, and refining payloads against security products, shortening the period between the publication of offensive security research and its practical implementation by threat actors.
Analyst Comments
AI-driven tools like this could accelerate the pace and sophistication of ransomware attacks, enabling even relatively inexperienced actors to launch high-impact campaigns. This development underscores the urgent need for security solutions to adapt to AI-assisted threats. Organizations must respond by strengthening detection engineering, improving visibility across environments, and maintaining robust security fundamentals.
Sources
AI-built ransomware toolkit automates EDR evasion, AD discovery
Pointing a Cursor at evading detection
Article
Arete's 2026 Q1 Crimeware Report
Harness Arete’s unique data and expertise on extortion and ransomware to inform your response to the evolving threat landscape.
Article
CMS Vulnerability Leads to ClickFix Campaign
Threat actors compromised at least 700 education and technology websites in a recent ClickFix campaign by exploiting a critical SQL injection flaw (CVE-2026-26980) in the Ghost content management system (CMS). Adversaries combined the vulnerability with the ClickFix social engineering tactic to steal admin keys and inject a malicious JavaScript that delivers a fake Cloudflare or CAPTCHA verification pop-up, tricking victims into copying and pasting a malicious command into their systems.
What’s Notable and Unique
Rather than targeting the end user first, this campaign is unique in its initial exploitation of the system, followed by social engineering attempts. This hybrid attack style is likely being leveraged to bypass traditional defenses.
This recent campaign also highlights how trusted web properties can be weaponized at scale and coupled with unpatched CMS vulnerabilities. Rather than using the CMS compromise to perpetrate a single attack, threat actors turned it into a supply-chain attack that ultimately affected over 700 trusted websites.
Analyst Comments
As network defenders and their tools enhance threat detection capabilities, adversaries increasingly seek methods to bypass these defenses. By combining vulnerability exploitation, social engineering techniques, and staging for ancillary attacks, this campaign successfully bypassed traditional defenses and inflicted significant impact. Defending against hybrid cyberattacks requires comprehensive security controls beyond simply patching vulnerabilities. Organizations should focus on limiting movement within the environment, detecting abuse of trusted applications, and preventing end-user manipulation.
Sources
700+ education and tech websites hijacked in huge ClickFix malware campaign
Under the engineering hood: Why Malwarebytes chose WordPress as its CMS
Think before you Click(Fix): Analyzing the ClickFix social engineering technique
Ghost CMS Vulnerability Exploited to Infect 700 Sites With ClickFix Malware



