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Introduction: A Ransomware Operation Accidentally Left Its Diary Open
Ransomware investigations usually begin with fragments: a suspicious executable, a ransom note, a compromised account, or a handful of logs recovered after an attack. But sometimes investigators discover something far more revealing — the attackers’ own operational workspace, sitting openly on the internet.
That is what happened in the latest investigation from CloudSEK, which uncovered an exposed Linux directory belonging to a Russian-speaking affiliate associated with the Aurora ransomware operation. The discovery provided an unusually detailed view into months of criminal activity, including victim information, credentials, Active Directory artifacts, attack tooling, shell histories, AI-assisted planning conversations, ransomware binaries, and even evidence connected to ransom negotiations.
The Discovery: An Open Directory Became a Window Into the Attack
According to CloudSEK, the exposed directory contained evidence of activity spanning April through July 2026. The operator had targeted more than 20 organizations across nine countries and achieved domain-level or interactive access at 17 of them. Four organizations represented in the recovered material later appeared on Aurora’s public leak site.
The most remarkable part of the discovery was not simply the amount of stolen information. It was the variety of operational artifacts left behind. The directory reportedly contained Kerberos tickets, credential material, Active Directory data, shell histories, BloodHound collections, exploit tooling, victim-specific folders, Cursor AI conversations, and Aurora encryptors.
In other words, investigators did not merely find malware. They found something much closer to an attacker’s working environment.
The Misconfiguration: A Small Operational Mistake With Huge Consequences
The server was reportedly a Linux home directory exposed through an unauthenticated file listing on port 8888. That seemingly minor configuration mistake transformed private operational data into intelligence that could be examined externally.
For ransomware defenders, the lesson is painfully familiar: sophisticated offensive operations can still collapse because of ordinary infrastructure mistakes.
The attacker had invested considerable effort into hiding activity behind rented SOCKS proxy infrastructure and VPS servers, reportedly including systems in Germany and the United States. Yet the operational server itself became a glaring source of exposure.
This contrast is important. Cybersecurity is rarely defeated by one technology alone. An attacker can use strong encryption, proxy networks, stolen credentials, custom malware, and advanced exploitation techniques, but one exposed administrative resource can undermine all of those precautions.
The Scale: More Than a Single Ransomware Incident
CloudSEK’s evidence points to a repeatable campaign rather than an isolated intrusion. The operator maintained records across numerous organizations and appeared to reuse a consistent methodology for compromising enterprise environments.
That consistency is particularly valuable to defenders because it reveals how ransomware operations are becoming increasingly industrialized.
The modern ransomware affiliate is not necessarily improvising every attack from scratch. Instead, successful operators can maintain reusable procedures for discovery, credential validation, Active Directory compromise, privilege escalation, data collection, staging, and encryption.
The result is an attack pipeline that resembles a production process.
Aurora and the Affiliate Model: More Than an Access Broker
One of
That distinction matters.
An initial-access broker typically specializes in gaining entry and then monetizing that access by selling it. In this case, the recovered evidence reportedly continued well beyond the initial compromise. The operator had credentials, domain-compromise artifacts, ransomware binaries, exfiltration material, and evidence of ransom negotiations.
CloudSEK therefore describes an actor who appears to have participated directly in the later stages of the ransomware lifecycle.
This makes the exposed directory considerably more valuable from an intelligence perspective. Investigators were able to observe not just how the attacker entered networks, but how the operation progressed toward extortion.
The AI Connection: Cursor Became Part of the Criminal Workflow
Perhaps the most striking element of the investigation is the role played by Cursor, an AI coding assistant.
CloudSEK reported that the operator used Cursor to plan attacks in Russian, including sustained discussions around Active Directory compromise and related techniques.
This does not mean that AI independently decided to attack victims. The recovered evidence instead illustrates something more realistic and potentially more consequential: a human attacker using an AI coding environment as part of an existing offensive workflow.
The distinction is critical.
AI is not necessarily replacing the experienced criminal operator. It can instead function as a force multiplier, helping that operator understand unfamiliar code, adapt scripts, reason through technical problems, organize an engagement, and accelerate repetitive development work.
That is one of the cybersecurity
The Human Still Remained in the Loop
The Aurora case also demonstrates why headlines about “AI hacking” can sometimes obscure the real threat.
The recovered material reportedly showed a repeatable playbook involving established offensive security tools and techniques. The operator was making decisions, selecting targets, interpreting results, and progressing through compromised environments.
AI was incorporated into that process.
This is arguably more concerning than the idea of a completely autonomous hacker because it combines human judgment with machine-assisted speed.
An experienced attacker does not need an AI system to understand every part of an intrusion. They only need the AI to reduce friction at enough points in the process to make the overall operation faster and easier to scale.
The Active Directory Playbook: A Repeatable Enterprise Attack Pattern
The recovered records reportedly showed extensive use of tools associated with Active Directory discovery, credential validation, and domain compromise.
CloudSEK described activity involving NetExec for LDAP and SMB discovery, password-policy checks, Kerberos-related credential attacks, BloodHound collection, and credential validation.
The broader lesson is more important than any individual tool.
Active Directory remains one of the most valuable targets inside enterprise networks because compromising the identity layer can provide an attacker with control far beyond the first compromised workstation.
Once identity infrastructure is compromised, ransomware operators can potentially move across servers, access sensitive applications, reach backup infrastructure, and ultimately target virtualization platforms.
Privilege Escalation: Certificate Services Remain a Major Risk
The recovered toolkit reportedly included custom material related to noPac and Active Directory Certificate Services weaknesses associated with ESC1, ESC6, and ESC8.
ADCS is particularly important because enterprise certificate infrastructure can become a powerful avenue for privilege escalation when improperly configured.
The case reinforces a broader security lesson: organizations should not treat identity security as simply a matter of passwords and multifactor authentication.
Certificate templates, enrollment permissions, service-account privileges, delegation, domain-controller configuration, and authentication pathways can all become part of the attack surface.
Credential Relay and Coercion: The Forgotten Corners of the Domain
The investigation also reportedly uncovered tooling associated with NTLM relay and coercion techniques involving mechanisms such as PetitPotam, PrinterBug, and DFSCoerce.
For defenders, this is a reminder that legacy authentication protocols and unnecessary Windows services can remain relevant years after their weaknesses become publicly known.
A mature identity-security program therefore needs to look beyond endpoint antivirus alerts.
It must ask a harder question: if one privileged identity were compromised tomorrow, how many systems could an attacker reach before defenders noticed?
Data Theft: Ransomware Is No Longer Just About Encryption
The
This reflects the modern ransomware model, where encryption is often only the final stage.
Before deploying ransomware, criminals may spend substantial time collecting credentials, mapping infrastructure, identifying backups, locating valuable data, and determining how much disruption an organization can tolerate.
The financial leverage comes from the combination of data theft and operational disruption.
The 50 GB Problem: Staging Large Volumes of Stolen Data
CloudSEK reported that stolen information was archived using PowerShell-driven 7-Zip jobs, with data divided into approximately 50 GB chunks before staging and extraction.
For defenders, large-scale archive creation can represent a valuable behavioral signal.
A single archive does not prove malicious activity, because legitimate organizations routinely compress large datasets. But unusual archive creation combined with suspicious PowerShell activity, unexpected administrative accounts, abnormal network transfers, and access to sensitive directories can form a much stronger detection pattern.
Modern ransomware defense therefore needs correlation rather than isolated alerts.
The Ransomware Payload: One Codebase, Multiple Environments
Investigators reportedly recovered both Windows and Linux/ESXi versions of the Aurora encryptor.
CloudSEK said the binaries were written in Zig, an unusual programming language for ransomware, and appeared to originate from a shared codebase.
That cross-platform capability is strategically important.
Enterprise environments are rarely homogeneous anymore. Windows servers may coexist with Linux infrastructure, VMware ESXi hosts, storage appliances, cloud services, and specialized applications.
A ransomware family capable of operating across multiple environments can potentially produce considerably greater impact from a single intrusion.
Windows Encryption: Recovery Mechanisms Become Targets
The recovered Windows payload, identified in the supplied report as sap.exe, reportedly includes capabilities designed to interfere with recovery mechanisms such as Volume Shadow Copy and System Restore.
That behavior is consistent with a broader ransomware strategy: do not simply encrypt production files; make recovery more difficult.
This is why resilient backups remain one of the most important ransomware defenses.
Organizations should assume that an attacker who has achieved substantial administrative privileges may eventually attempt to locate, disable, delete, or corrupt accessible backup resources.
ESXi: Why Virtualization Infrastructure Is So Attractive
The Linux/ESXi variant, identified in the report as encrypt.out, reportedly includes functionality designed to identify and stop virtual machines before encrypting VM-related files.
That is particularly dangerous in heavily virtualized environments.
An attacker who reaches the hypervisor layer can potentially affect many workloads simultaneously rather than compromising each guest individually. Security researchers have repeatedly warned that ESXi environments can become high-value ransomware targets because encryption at the virtualization layer can produce massive operational impact.
The Ransom Note Took an Unusual Route
Another detail makes the ESXi variant particularly interesting.
Rather than relying solely on a traditional ransom-note file, CloudSEK reported that the Linux/ESXi ransomware modified the SSH login banner to display the extortion message.
That approach illustrates an important characteristic of modern ransomware: attackers adapt their communication to the environment they are compromising.
On a server where administrators routinely log in through SSH, modifying the login banner can put the message directly in front of operators without depending on a conventional desktop notification.
The Financial Trail: From Encryption to Cryptocurrency
CloudSEK also recovered a key associated with the encryptor that allowed researchers to gain visibility into a completed ransom negotiation.
Working with TRM Labs, researchers traced the related Bitcoin payment on-chain and identified connections to Aurora’s broader laundering infrastructure. CloudSEK said the analysis indicated that multiple victim payments converged through shared laundering infrastructure.
This is significant because ransomware investigations increasingly extend beyond malware analysis.
Following cryptocurrency transactions can help investigators connect apparently separate incidents, identify recurring infrastructure, and better understand the financial ecosystem supporting ransomware operations.
The Leak Site Connection: Evidence Becomes Stronger
Four organizations represented in the recovered directory were later identified on Aurora’s public leak site, according to CloudSEK.
That correlation strengthens the attribution assessment because investigators were able to connect operational records with publicly documented victims.
Attribution in cybersecurity should rarely depend on a single clue. Language, infrastructure, malware, victimology, operational behavior, financial transactions, and public extortion activity become considerably more persuasive when they independently point toward the same actor.
The Biggest Lesson: Operational Security Can Break the Strongest Attack
The irony of the Aurora investigation is impossible to ignore.
The operator reportedly used proxy infrastructure to conceal connections. The campaign relied on credential theft, Active Directory tradecraft, specialized tooling, and ransomware designed for multiple operating environments.
Yet the
This is a powerful reminder that cybersecurity failures are often systemic rather than purely technical. A criminal group can possess advanced tools and still make a basic infrastructure mistake.
The same principle applies to defenders: security architecture is only as strong as its weakest exposed component.
What Defenders Should Watch For
Organizations should pay particular attention to unexpected external exposure of administrative directories, development environments, staging servers, file listings, and temporary infrastructure.
Internet-facing services should be continuously inventoried rather than assessed only during periodic penetration tests.
Security teams should also monitor unusual Active Directory reconnaissance, abnormal certificate enrollment, suspicious authentication patterns, unexpected PowerShell archive activity, and administrative access to virtualization infrastructure.
The goal is not to detect Aurora specifically.
The goal is to detect the behaviors that make Aurora possible.
Deep Analysis: Turning the Aurora Investigation Into Defensive Intelligence
Deep Analysis: Start With External Exposure
Security teams should regularly identify unexpected listening services and externally reachable systems. On Linux assets, a defensive inventory check can begin with a command such as:
ss -lntup
This helps administrators identify listening network services that may have been unintentionally exposed.
Deep Analysis: Investigate Unexpected Port 8888 Exposure
If an organization does not intentionally operate a service on TCP port 8888, it should investigate why that port is listening and which process owns it.
A defensive Linux check can use:
sudo ss -lntp | grep ':8888'
The objective is asset discovery and exposure reduction, not interaction with an attacker-controlled service.
Deep Analysis: Find World-Readable Web Content
Administrators can review permissions on web directories to identify files that are unnecessarily readable by all local users:
find /var/www -type f -perm -004 -print
Results should be reviewed carefully because legitimate web content may intentionally be world-readable.
Deep Analysis: Review Suspicious PowerShell Activity
Windows defenders should investigate unusual PowerShell processes, particularly those associated with archive creation, credential access, or unexpected administrative sessions.
A basic event-log review can begin with:
Get-WinEvent -LogName "Microsoft-Windows-PowerShell/Operational" -MaxEvents 100
Organizations should combine this with centralized SIEM telemetry rather than relying solely on local logs.
Deep Analysis: Watch Active Directory Certificate Activity
ADCS deserves special attention because certificate abuse can provide attackers with powerful authentication capabilities.
Security teams should audit certificate templates, enrollment permissions, privileged accounts, and unnecessary certificate authorities, while investigating unexpected certificate issuance involving privileged identities.
Deep Analysis: Protect the Identity Layer
Multifactor authentication is important, but it should not be treated as the entire identity-security strategy.
Organizations should also minimize privileged accounts, protect service identities, review delegation settings, restrict legacy authentication where possible, and continuously monitor unusual domain-controller activity.
Deep Analysis: Separate Backups From Production
The Aurora case demonstrates why backup infrastructure must be treated as a separate security boundary.
Backups should use strong administrative separation, immutable or offline copies where appropriate, independent credentials, and monitoring capable of detecting unusual deletion or modification activity.
A backup that can be destroyed using the same administrator credentials used to compromise production systems is not a sufficiently isolated recovery mechanism.
Deep Analysis: Harden ESXi and Virtualization Infrastructure
Virtualization hosts should receive the same security attention as domain controllers and other Tier-0 assets.
Organizations should minimize interactive access, enforce strong authentication, use appropriate lockdown controls, monitor privileged sessions, and ensure that hypervisor management interfaces are not unnecessarily exposed.
Deep Analysis: Monitor Archive Creation
Large archive operations should be correlated with identity and network behavior.
A legitimate backup or data-processing job may create large archives regularly. A newly created archive on a domain controller or file server, however, becomes far more suspicious when it occurs alongside abnormal authentication, unusual PowerShell execution, or large outbound transfers.
Deep Analysis: Treat AI Tools as Part of the Attack Surface
The Cursor evidence changes the conversation around AI-assisted development.
Organizations should not assume that coding assistants are inherently malicious. Instead, they should recognize that AI development environments can become part of both legitimate and malicious workflows.
Security policies should therefore address what sensitive credentials, proprietary source code, customer data, and administrative information can be entered into AI coding environments.
Deep Analysis: Hunt for Behavior, Not Just Malware Names
Searching for sap.exe or encrypt.out may help identify this particular campaign, but malware names change quickly.
Behavior survives rebranding.
Credential theft, abnormal domain reconnaissance, unexpected certificate activity, suspicious archive creation, backup interference, virtualization discovery, and large outbound transfers remain valuable detection opportunities even when the attacker changes malware.
Deep Analysis: Build Correlated Detection Rules
A strong detection strategy might connect several weak signals into one high-confidence incident.
For example, unusual administrative authentication followed by Active Directory reconnaissance, certificate-related anomalies, large archive creation, and abnormal outbound traffic should receive much more attention than any one event individually.
This is where SIEM and XDR platforms can become especially valuable.
Deep Analysis: Preserve Evidence Early
When ransomware activity is suspected, organizations should preserve relevant logs, authentication records, endpoint telemetry, firewall events, cloud audit trails, and virtualization logs before routine retention policies overwrite them.
Incident response becomes dramatically harder when the evidence disappears before investigators can reconstruct the attack timeline.
Deep Analysis: Use the IOCs Carefully
The supplied indicators include the Aurora negotiation service and the filenames associated with recovered encryptors.
Indicators should be defanged and handled inside controlled threat-intelligence systems rather than casually opened in a browser.
The most useful IOC strategy combines static indicators with behavioral detection, because filenames and infrastructure can be changed quickly.
What Undercode Say: The Real Danger Is the Combination of AI and Repeatable Ransomware
A New Ransomware Era
The Aurora investigation is significant because it sits at the intersection of several trends that cybersecurity teams have been watching separately for years.
AI Is Becoming Operational
AI is no longer limited to generating phishing emails or writing simple malware snippets.
The recovered Cursor conversations reportedly show AI being incorporated into an active intrusion-planning workflow.
Human Expertise Still Matters
The evidence does not suggest that AI independently created the campaign.
Instead, it shows a human operator using AI as an accelerator.
Speed Changes the Equation
If an attacker can solve technical problems faster, individual intrusions may require less time and fewer resources.
Repetition Is the Bigger Threat
The operator reportedly reused a recognizable playbook across multiple organizations.
That means improvements made during one intrusion can potentially benefit the next.
Enterprise Identity Remains Central
Despite the attention given to AI, the campaign still revolved heavily around traditional enterprise weaknesses.
Active Directory remained a critical target.
ADCS Deserves More Attention
Certificate infrastructure can become a dangerous privilege-escalation pathway when poorly configured.
Credentials Remain Valuable
Browser credentials, VPN credentials, Kerberos artifacts, and domain credentials can all become stepping stones toward deeper compromise.
Ransomware Is a Process
Encryption is only one phase.
The intrusion can involve discovery, privilege escalation, credential theft, data theft, staging, negotiation, and finally encryption.
Backups Are Strategic Targets
If attackers can compromise backup infrastructure, ransomware becomes substantially more damaging.
ESXi Can Multiply Impact
A compromised hypervisor can potentially expose many workloads simultaneously.
Infrastructure Mistakes Still Matter
The exposed directory may ultimately prove more consequential than any sophisticated evasion mechanism.
Criminal OPSEC Is Imperfect
Attackers can hide connections while accidentally exposing their own operational data.
AI Does Not Remove Human Error
Ironically, the same organizations using AI to increase productivity may need to remember that humans remain responsible for securing the infrastructure around AI tools.
Defenders Can Learn From Criminal Workflows
The exposed directory provides defenders with a valuable map of attacker priorities.
Detection Should Follow the Attack Chain
Security teams should monitor the sequence of behaviors rather than wait for a ransomware executable.
Identity Telemetry Is Essential
Authentication and authorization events can reveal attacks long before encryption begins.
Certificate Monitoring Is Essential
Unexpected privileged certificate activity should be investigated rapidly.
Network Monitoring Still Matters
Large outbound transfers can reveal data theft before extortion becomes visible.
Endpoint Monitoring Still Matters
Suspicious PowerShell and archive activity can expose staging operations.
Hypervisor Monitoring Matters
ESXi should not be treated as an invisible layer beneath endpoint security.
Exposure Management Matters
Organizations need continuous visibility into every internet-facing service.
Security Misconfiguration Can Defeat Sophistication
The Aurora story is perhaps the clearest example of this principle.
Ransomware Intelligence Is Becoming Financial Intelligence
Following cryptocurrency flows can reveal relationships between seemingly separate attacks.
Leak Sites Provide Another Correlation Layer
Public extortion disclosures can help investigators connect operational artifacts with victims.
Attribution Requires Multiple Signals
Language, tooling, infrastructure, malware, victimology, and financial activity become powerful when they converge.
AI Security Must Include AI Misuse
Defenders should evaluate not only whether AI systems are secure, but how attackers might use them.
Coding Assistants Need Security Controls
Sensitive credentials and confidential infrastructure information should not casually enter development assistants.
AI Providers Also Face a New Challenge
The security industry must determine how AI tools can safely distinguish legitimate security research from malicious operational requests.
Attackers Will Adapt
Any defensive control that becomes effective will eventually encourage attackers to search for another path.
Ransomware Affiliates Are Becoming More Capable
The combination of reusable tooling, criminal ecosystems, AI assistance, and established ransomware infrastructure lowers operational friction.
The Best Defense Is Layered
No single security product can reliably stop this entire attack chain.
Resilience Matters as Much as Prevention
Organizations must assume that some attacks will penetrate perimeter defenses.
Recovery Must Be Tested
A backup strategy that has never been tested under realistic conditions is an assumption, not a guarantee.
The Aurora Case Is a Warning
The most important message is not that one ransomware group used one AI tool.
The deeper warning is that offensive cyber operations are becoming increasingly organized, repeatable, and technologically assisted.
The Final Lesson
The
That should not be dismissed as simple bad luck.
It is a reminder that cybersecurity is ultimately a contest of discipline. The attacker who automates everything but forgets to secure one server can expose an entire operation. The defender who deploys expensive security products but leaves one identity system, backup repository, or administrative interface poorly protected can suffer the opposite fate.
✅ CloudSEK Confirmed the Core Discovery
CloudSEK published its Aurora investigation on August 27, 2026, confirming that an exposed directory revealed months of activity by a Russian-speaking Aurora affiliate.
The company reported more than 20 targeted organizations across nine countries and domain-level or interactive access at 17 victims.
✅ Cursor AI Was Part of the Operator’s Workflow
CloudSEK explicitly reported that the operator used Cursor to plan attacks in Russian.
The investigation therefore supports the
✅ Aurora Encryption Across Multiple Platforms Was Documented
CloudSEK reported recovering Aurora encryptors associated with Windows and Linux/ESXi environments and said the encryptor was written in Zig.
Independent technical research also documents Aurora as a multi-platform ransomware family, although the independently analyzed Windows sample was identified as C/C++ rather than Zig, meaning individual Aurora samples or builds should not automatically be assumed to share identical implementation details.
✅ ESXi Is a High-Impact Ransomware Target
The broader claim that ESXi can dramatically increase ransomware impact is well supported by previous security research.
Microsoft has documented ransomware operators targeting ESXi because compromising the hypervisor layer can allow attackers to affect multiple virtual machines at once.
⚠️ Some Technical Details Should Be Attributed to CloudSEK
Details such as the exact recovered filenames, specific attack-chain artifacts, and the reported ransom-negotiation evidence originate from CloudSEK’s investigation.
They should therefore be presented as findings reported by CloudSEK rather than independently established facts about every Aurora deployment.
Prediction
(+1) AI-Assisted Ransomware Operations Will Become More Efficient
The most likely development is not completely autonomous ransomware gangs, but human operators using AI to accelerate increasingly standardized attack workflows.
As coding assistants become better at understanding infrastructure, debugging scripts, analyzing unfamiliar environments, and organizing technical information, experienced criminals may be able to conduct more engagements with the same resources.
(+1) Defensive AI Will Become Equally Important
The same AI revolution creating opportunities for attackers can strengthen defenders.
Security systems can use AI to correlate authentication anomalies, endpoint behavior, network transfers, identity changes, certificate activity, and ransomware indicators across enormous datasets.
(+1) Identity Security Will Move Higher on the Priority List
The Aurora case reinforces the idea that ransomware defense cannot focus exclusively on endpoints.
Active Directory, ADCS, privileged accounts, authentication protocols, VPN credentials, and virtualization infrastructure will increasingly become central components of enterprise security programs.
(-1) AI Will Increase the Cost of Human Error
As attackers become faster, organizations may have less time to respond.
A campaign that previously required extensive manual effort could become considerably more efficient when experienced operators use AI to accelerate research and technical decision-making.
(+1) Exposed Infrastructure Will Remain a Major Intelligence Source
Ironically, the most valuable evidence may continue to come from basic mistakes.
Misconfigured servers, exposed development environments, public storage, forgotten staging systems, and unsecured administrative interfaces can reveal more about an operation than sophisticated malware analysis alone.
(-1) Ransomware Will Become Harder to Contain After Initial Compromise
The combination of credential theft, identity compromise, data exfiltration, virtualization attacks, and AI-assisted planning means organizations may face increasingly compressed attack timelines.
That makes early detection and resilient recovery more important than ever.
Final Takeaway: The Aurora Files Reveal Where Ransomware Is Heading
The Bigger Picture
The Aurora investigation is more than another ransomware story.
It is a rare look inside a modern criminal operation where traditional intrusion techniques, enterprise identity abuse, cryptocurrency laundering, cross-platform ransomware, proxy infrastructure, and AI-assisted planning appear in the same operational picture.
The Most Important Warning
The biggest danger is not that AI suddenly became a hacker.
It is that skilled attackers now have another tool capable of reducing the time and effort required to conduct sophisticated operations.
The Defender’s Opportunity
The exposed directory also demonstrates the other side of the equation.
Every attack leaves signals.
Every identity compromise creates telemetry.
Every large data transfer creates a network pattern.
Every unusual certificate request creates an opportunity for detection.
Every ransomware campaign reveals operational habits.
The Final Lesson
Aurora’s exposed infrastructure turned a criminal operator’s private workspace into a blueprint for defenders.
The lesson for enterprises is simple but uncomfortable: do not wait for the ransom note.
Watch the identities.
Watch the certificates.
Watch the backups.
Watch the hypervisors.
Watch the exposed infrastructure.
And above all, watch the behavior that happens before ransomware ever reaches the screen.
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