ProLock
Aliases: ProLock ransomware
Source profile review date: 2026-06-21
Added to the source registry: 2020-02-23 · Source snapshot: 2026-09-15
Source metadata is not independently verified. The registry date is not necessarily the first attack date. Source synopses are translated automatically where needed; the feed may contain outdated assessments.
Research status: Existing researched dossier
This dossier separates actor-specific source information from general defensive analysis. Recommendations and investigation questions are not additional claims about the actor. Public evidence remains limited where explicitly stated.
Locally generated translation; linguistic review is still pending.
Executive summary
ProLock historically linked to QakBot access and thus gives a strong lesson about botnet-to-ransomware chains
ProLock was mentioned in public law enforcement and CTI-context as ransomware group that benefited from QakBot access. The FBI described QakBot as infrastructure that helped groups such as Conti and ProLock to cause damage.
Latest five known victim claims
Loading stored claims…
These are public claims attributed to the group, not independently confirmed breaches. Dates indicate publication or discovery, not necessarily the attack date.
Management summary
ProLock is relevant because The pattern is botnet/loader access, post-exploitation, credential usage, lateral movement and ransomware deployment.. This profile is written to help visitors quickly understand which attack steps they can detect or block.
The value is in the translation to defense: what access is used, which data is sought, which tools or artifacts are noticed and which repair risk derivatives arise.
In less documented groups, the confidence is lower and claims are treated as OSINT. In historical groups, the value is in the lessons for continuity and recovery.
Grouping and development
QakBot-related access, ProLock ransom notes, encrypted files, C2, admin activity and datatasting are relevant artifacts.
A ransomware profile doesn't just need to be up-to-date to be valuable. Historical groups show which weaknesses are later used by other actors.
When a name is known mainly through feeds or leak sites, source weighing should remain visible. A claim is a signal, not complete technical evidence.
Attack pattern from public cases
The lesson is that botnet infections should be treated as pre-ransomware.
The renowned phases are ahead of encryption or publication: remote access, credential usage, discovery, archiving, data transfer and use of management tools.
Link every claim to logs and system tracks. Without account context, process tree and network data, attribution remains uncertain.
Known IOCs and artifacts
After QakBot-like detection, search directly for remote access, Cobalt Strike, admin privileges, RDP/PsExec and datataging.
Hard IOC pistils must be enriched per incident. Behavioural patterns such as bulk file access, RDP, PowerShell, RMM, service stops and exfiltration remain usable longer than old hashes.
Save ransom notes, extensions, hashes, command lines, staging paths, external destinations and source references per incident.
Victim pattern and lessons
Isolate loader infections, reset credials and run wide hunting before ransomware is rolled out.
Victims learn about pressure points in particular: public services, sensitive data, supply chains, server layers or recovery dependency.
Use sector and victim patterns as a checklist for their own environment. They are not intended to be a loose name collection.
Practical detection logic
https://www.axios.com/2023/08/29/fbi-qakbot-botnet-network-ransomware
Create chain detections: suspicious login, discovery, archival formation, outbound volume, service stops and massive file writes together give a much stronger picture.
Also bring backups, hypervisors, NAS, cloud storage and SaaS. Much extortion starts with data or management, not the encryption device.
Concrete Hardening Priorities
Undefined
Force MFA, limit direct RDP/VPN, use jump hosts, segment servers and protect privileged accounts.
Create backups immutable/offline wherever possible and test recovery when the primary domain cannot be trusted.
Identity, naming and attribution
For ProLock, the operational starting point is an exact identity match. The local dossier records the following names or aliases: ProLock ransomware. An alias is a search aid, not independent evidence of shared operators. Similar names, reused logos and the same extortion vocabulary cannot establish a relationship between groups. Analysts should retain the original spelling of a claim and distinguish the publisher, malware family and suspected intrusion operator. Those roles can belong to different people. This prevents an incident being assigned to the wrong group simply because a filename or public post resembles an earlier case. Any proposed relationship needs its own dated, attributable source.
Timeline and interpretation of dates
The source registry date available for ProLock is 2020-02-23; the metadata snapshot was collected on 2026-09-15. These timestamps describe the available record, not a proven beginning of criminal operations. Registration may follow earlier activity, and a claim can concern an older incident. A defensible timeline separates suspected intrusion, data access, discovery by the victim, publication by the claimant and discovery by the monitoring service. The profile review date is another independent timestamp. Analysts should not silently convert one date into another. When sources disagree, preserve both observations and their provenance, then explain the uncertainty rather than presenting a falsely precise attack chronology.
Victim claims and targeting assessment
The victim panel for ProLock shows up to five distinct organisations from the stored claim history. It is a moving observation window, not a complete incident census. Public listings can omit victims, repeat old material or exaggerate access. Consequently, a short run of organisations in one country or industry does not by itself prove deliberate targeting of that sector. The useful comparison is with the organisation's own dependencies: shared providers, remote access arrangements, exposed services and sensitive data flows. A supplier appearing in a claim justifies verification through established contacts, but does not establish that downstream customers were compromised. Separate confirmed statements from the claimant's assertions.
Evidence quality and confidence
The source material listed for ProLock should be evaluated observation by observation. A technical report can substantiate a specific sample or incident without proving that every affiliate uses the same method. A leak-site description provides a different kind of evidence: it documents a public assertion, not the underlying access. Keep quotations, analyst interpretations and direct telemetry separate in working notes. Record which conclusion would change if a source were withdrawn or corrected. Confidence should follow the quality and independence of the evidence, not the prominence of the group name. Missing technical reporting is an intelligence gap; it is neither proof of sophisticated tradecraft nor proof that the actor is harmless.
Indicators of compromise (IOCs)
Indicators are historical observations, not proof of a current infection. Validate source, age and context before hunting or blocking; legitimate administrative tools can produce false positives.
| Type | Value | Source | Context |
|---|---|---|---|
| behavior | Het patroon is botnet/loader access, post-exploitation, credentialgebruik, laterale beweging en ransomwaredeployment. | profile references | Primary defensive pattern. |
| artifact | ransom notes, leak-site claims, data staging and exfiltration artefacts | case-dependent | Record concrete values by incident. |
Sources
Evidence and limitations
Attribution describes the source assessment, not a verified identity. A leak-site listing alone does not prove encryption, data theft, a particular vulnerability or an affiliate relationship. Missing information is left explicit.