Mario M.

Grad Solin, Croatia · Independent Threat Researcher | Ransomware Intelligence & OSINT · Lab7

25 followers

About

Independent Threat Researcher focused on ransomware operations, threat actors, victimology, and cybercrime ecosystems.

My research involves monitoring publicly available ransomware leak sites, examining threat actor claims, verifying available evidence, and documenting findings through structured investigations.

My primary geographic focus is Croatia and Southeast Europe, while also following international ransomware activity.

**Research Areas**

- Ransomware Operations & Threat Actor Profiling

- Victim & Incident Research

- Ransomware Leak-Site Monitoring

- Cybercrime & Underground Ecosystems

- OSINT & Evidence Verification

- MITRE ATT&CK Mapping

- Threat Intelligence Reporting

My research approach emphasizes source reliability, evidence-based analysis, and a clear distinction between confirmed incidents and unverified threat actor claims.

Specialties

  • Cyber Threat Intelligence

Skills

  • Cybersecurity
  • Open-Source Intelligence (OSINT)
  • Threat Intelligence Research
  • Ransomware Research
  • Threat Actor Profiling
  • Ransomware Leak-Site Monitoring
  • Victim & Incident Research
  • Evidence Verification
  • Threat Intelligence Reporting

Experience

  • Founder | Cybersecurity UX & Product Consultant

    Lab7

    May 2021 — Present

    Solin, Split-Dalmatia, Croatia

Recent posts

**When Ransomware Operators Become Buyers**

Underground markets are not only places where compromised access is offered for sale.

They are also places where demand becomes visible.

When ransomware actors seek access to corporate networks, the requirements themselves can provide useful intelligence.

Requests for Domain Administrator privileges, remote access, or access to organizations of a particular size may reveal what potential buyers consider operationally valuable.

But demand should not be confused with capability.

A request for privileged access does not establish that an organization has been compromised, that a transaction occurred, or that a ransomware operation followed.

For threat researchers, these advertisements represent a different type of intelligence signal.

They can help identify emerging interests, preferred access conditions, and potential changes in underground demand.

**Sometimes, what an actor is looking for can be as informative as what they claim to have.**

#ThreatIntelligence #Ransomware #UndergroundIntelligence #InitialAccessBrokers

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**Before the Ransomware Attack: The Initial Access Broker Economy**

Not every ransomware operation begins with the ransomware group gaining initial access.

In some cases, that access may already be available through an Initial Access Broker (IAB).

Compromised VPN credentials, exposed remote access services, and access to corporate environments can become commodities in underground markets.

For threat researchers, the important question isn't simply who deployed the ransomware.

It's also:

- Who may have obtained the initial access?

- Was that access advertised or transferred before the attack?

- Are there credible links between the access broker and the ransomware operation?

- What evidence supports those connections?

At LAB7 Threat Research, we're exploring these questions through passive OSINT monitoring and analysis of publicly available intelligence.

An advertised access listing is not proof of compromise, and a claimed connection is not confirmed attribution.

**Understanding the access economy may help explain what happens before ransomware deployment.**

#ThreatIntelligence #InitialAccessBroker #Ransomware #ThreatResearch #OSINT

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**Beyond the Leak Site: What the Azazel Case Reveals About Ransomware Attribution**

Independent Threat Research | 12 October 2026

**Introduction**

Ransomware data leak sites are a valuable source of threat intelligence. They provide visibility into victim claims, extortion activity, and the public operations of ransomware groups.

However, the identity displayed on a leak site does not necessarily represent every actor involved in an intrusion.

This distinction becomes particularly important within ransomware-as-a-service (RaaS) ecosystems, where platform operators, affiliates, and extortion activities may operate under different identities.

CloudSEK's investigation into a threat actor known as Azazel, published on 5 October 2026, provides a documented example of this challenge.

The case illustrates how an affiliate associated with an established ransomware operation can maintain a separate extortion platform, potentially creating visibility gaps for researchers monitoring only the parent group's leak site.

**The Gentlemen, Azazel, and LEAKNED**

According to CloudSEK, Azazel is a Russian-speaking operator associated with The Gentlemen ransomware group.

The investigation identified an unusual operational arrangement.

Azazel reportedly used The Gentlemen's tooling, infrastructure, and negotiation channels while simultaneously operating an independent data leak site called LEAKNED.

CloudSEK documented more than two dozen affected organizations across six countries, with stolen information distributed across attacker-controlled infrastructure.

Rather than publishing the identified victims on The Gentlemen's official leak site, Azazel used LEAKNED as a separate extortion platform.

CloudSEK also assessed that the operator retained extortion proceeds outside the established RaaS revenue-sharing arrangement.

The financial relationship has not been independently verified in this analysis. Nevertheless, the documented separation between the ransomware ecosystem and the public extortion identity is significant.

It demonstrates why an affiliate relationship should not automatically be interpreted as centralized control over every stage of an attack.

** Infrastructure and Operational Separation**

CloudSEK identified three infrastructure nodes serving different operational functions.

The first supported command-and-control activity and file transfers from victim environments.

The second served as an operational staging environment, hosting tools, scripts, and collected information.

The third supported the LEAKNED publication platform and long-term data storage.

The reported infrastructure had more than 50 TB of combined raw storage capacity across the dedicated staging and archive servers. This figure represents infrastructure capacity, not the total amount of confirmed stolen data.

The separation of these functions is relevant to the attribution assessment.

Infrastructure used to execute an intrusion, store stolen information, and publicly conduct extortion may belong to different operational components, even when those activities are associated with the same ransomware ecosystem.

**Two Distinct Attack Chains**

CloudSEK documented two different operational approaches.

**Chain A — CI/CD Secrets Harvesting**

The first involved the collection of credentials and secrets from GitLab CI/CD environments and repository histories.

Exposed tokens, database credentials, API keys, and SSH keys provided access to additional systems.

In one documented example, a single GitLab environment created exposure across two otherwise unrelated organizations.

This illustrates how compromised development infrastructure can extend the impact of an intrusion beyond the initially accessed organization.

**Chain B — High-Value AI Platform Compromise**

The second operation involved a sustained compromise of an AI-related platform.

CloudSEK reported initial access through an API endpoint that fetched user-supplied URLs without adequate validation, enabling access to internal resources.

The subsequent activity included credential recovery, access to monitoring infrastructure, examination of Kubernetes-related configuration, and large-scale data exfiltration.

The researchers also documented the use of Model Context Protocol (MCP) capabilities for command execution within the compromised environment.

Importantly, the documented MCP activity should not be confused with the initial access mechanism.

These two attack chains demonstrate different intrusion methods associated with the same operator. They should not be treated as a single universal technique used against every victim.

**The Attribution Problem**

The Azazel case highlights three identities that threat researchers should distinguish.

**Ransomware platform operator**

The organization responsible for maintaining ransomware technology, supporting infrastructure, and affiliate services.

**Intrusion operator**

The actor responsible for gaining access, conducting operations, collecting information, and potentially deploying ransomware.

**Extortion identity**

The name, communication channel, or leak-site infrastructure used to pressure victims and publicly claim responsibility.

These identities may overlap, but they are not necessarily interchangeable.

CloudSEK specifically reported that organizations compromised by Azazel using The Gentlemen's tooling appeared on LEAKNED rather than on The Gentlemen's official leak site.

This creates an important analytical distinction.

An incident associated with a particular ransomware ecosystem may not appear under that ecosystem's publicly recognized extortion identity.

**What Leak-Site Monitoring Can Miss**

Monitoring ransomware leak sites provides useful visibility into publicly claimed incidents, but it is not a complete record of ransomware activity.

A leak-site entry primarily documents a public claim by an actor.

It does not independently establish the complete intrusion chain, the specific operator responsible, or the relationship between the individuals and infrastructure involved.

Likewise, the absence of a victim from a particular group's leak site does not necessarily exclude involvement by an affiliate associated with that group.

The Azazel/LEAKNED investigation provides a concrete example of this limitation.

Researchers relying exclusively on The Gentlemen's official DLS could have missed victim claims published through Azazel's separate extortion platform.

This does not establish how widespread the practice is across the ransomware ecosystem. It does, however, demonstrate why DLS monitoring alone cannot provide complete operational attribution.

**Analytical Assessment**

The central finding of this review is that ransomware ecosystem affiliation and direct operational responsibility should be evaluated separately.

The CloudSEK investigation supports an assessment that Azazel maintained a distinct extortion identity while using resources associated with The Gentlemen.

However, several questions remain unresolved from the perspective of independent public-source analysis:

- The complete financial relationship between Azazel and The Gentlemen.

- The degree of awareness or control exercised by the RaaS administrators.

- Whether similar arrangements exist among other affiliates of the group.

- The extent to which separate extortion identities can be systematically linked to their underlying ransomware ecosystems.

These limitations matter because attribution is not simply a question of identifying a ransomware brand.

It requires examining the relationship between malware, infrastructure, intrusion activity, communications, and the identity publicly claiming responsibility.

For threat intelligence researchers, this suggests a practical approach: record the ransomware family, suspected intrusion operator, and extortion identity as separate analytical fields whenever the available evidence supports that distinction.

**Conclusion**

The Azazel/LEAKNED case illustrates a significant limitation of ransomware intelligence based exclusively on public leak-site monitoring.

An affiliate may operate within an established RaaS ecosystem while maintaining a separate public identity for extortion.

As a result, the name appearing on a leak site may describe only one component of a larger criminal operation.

Reliable attribution requires more than identifying who claimed responsibility.

It requires determining what the available evidence supports, which relationships remain uncertain, and where visibility ends.

**A leak-site claim is an intelligence starting point, not a complete attribution.**

---

**Sources**

**Primary research**

CloudSEK TRIAD — *Caught in 4K: The Gentlemen Files* (5 October 2026)

https://www.cloudsek.com/blog/caught-in-4k-the-gentlemen-files

**Research methodology**

This article is an independent analytical review of publicly published threat intelligence. Technical findings concerning Azazel and LEAKNED are attributed to CloudSEK. The discussion of attribution limitations represents an analytical interpretation of those findings.

No independent forensic investigation, direct access to victim environments, or validation of attacker-controlled infrastructure was performed.

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**Better Decisions Beat Bigger Dashboards**

A cybersecurity dashboard can show everything and still make the next decision difficult.

More metrics.

More charts.

More widgets.

More status indicators.

It can look comprehensive while quietly shifting the hardest part of the work back to the user: figuring out what actually matters.

That is where product thinking becomes more important than dashboard density.

The value of a security product is not measured by how much information it can fit on a screen. It is measured by how effectively that information supports judgment.

When something changes, what deserves attention first?

When several risks compete for priority, what separates the urgent from the merely visible?

When a user needs to act, is the relevant context already there — or do they have to assemble the story themselves?

These are product questions, not just interface questions.

A smaller dashboard with clear priorities, meaningful context, and an obvious path forward can be more useful than a sophisticated dashboard containing twice as much data.

Because cybersecurity products are not built simply to display what is happening.

They are built to help people understand what matters and decide what to do next.

**The best dashboard isn't the one that shows the most. It's the one that reduces the distance between information and decision.**

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A privileged access change is only useful to detect if you can quickly understand whether it should have happened.

That was the product problem I explored with this **Privileged Access Change Timeline**.

A role assignment alone doesn’t tell a security team enough.

Was it approved?

Is the privilege normal for this identity?

Is it temporary or permanent?

Who initiated it?

What resource is affected?

Was the privilege actually used?

Instead of treating privileged access activity as another audit log, I focused the workflow on helping the user answer those questions without jumping between multiple systems.

One decision I found particularly important was separating **assessment from impact**.

An approved, time-boxed Owner elevation on a critical production resource may have high potential impact while still being an expected change.

Permanent Domain Admin membership with no approval, no expiry, and an unusual initiator is a very different situation.

The interface brings identity context, resource context, related activity, approval information, investigation notes, and remediation actions into the same workflow — while keeping deeper information available only when needed.

The goal isn’t to show more privileged access data.

It’s to shorten the distance between:

**“Access changed.”**

and

**“I understand why it matters and what I should do next.”**

For me, that’s an important distinction in security product design: visibility tells you what happened; context helps you make the decision.

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View Mario M.'s profile on Cyberr