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Elasticsearch Expert

Elasticsearch Expert Vendor Cyber Rating & Cyber Score

elasticsearch.expert

Transform Your Data Infrastructure with Expert Elasticsearch Solutions Are you struggling with slow search, overwhelming log volumes, or security compliance challenges? We help organizations in the Netherlands, Belgium, and Germany unlock the full potential of the Elastic Stack. 🔍 What We Do: • Design & deploy scalable Elasticsearch architectures that handle billions of documents • Optimize search performance and reduce infrastructure costs by up to 40% • Implement robust SIEM solutions for security teams • Build real-time analytics dashboards for data-driven decisions • Provide expert consultation on Elasticsearch, Logstash, Kibana, and Beats 💡 Why Partner With Us: ✓ Specialized expertise in open-source search and analytics ✓ Proven


Elasticsearch Expert A.I CyberSecurity Scoring

Elasticsearch Expert
Company Information
Website:https://elasticsearch.expert/
Employees number:3
Number of followers:79
NAICS:5415
Industry Type:IT Services and IT Consulting
Homepage:elasticsearch.expert
Elasticsearch Expert Risk Score (AI oriented)
Between 600 and 649
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Elasticsearch ExpertIT Services and IT Consulting
Updated:
05/07/2026
648/1000
Poor
Caa
AaaAaABaaBaBCaaCaC
Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
Elasticsearch Expert Global Score (TPRM)
xxxx
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Elasticsearch ExpertIT Services and IT Consulting
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Score locked
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Findings

Elasticsearch Expert
Elasticsearch ExpertPoor
Current Score
648Caa (POOR)
01000
1 incidents
0 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JULY 2026
648Before Incident
JUNE 2026
648Before Incident
MAY 2026
646Before Incident
APRIL 2026
644Before Incident
MARCH 2026
642Before Incident
FEBRUARY 2026
640Before Incident
JANUARY 2026
638Before Incident
DECEMBER 2025
635Before Incident
NOVEMBER 2025
633Before Incident
OCTOBER 2025
631Before Incident
SEPTEMBER 2025
628Before Incident
AUGUST 2025
626Before Incident
MAY 2021
750Before Incident
Ransomware
01 May 2021Elasticsearch Expert
MongoDB and Elasticsearch: New Research Reveals 62% of Database Ransom Wallets Were Never Paid

Industrial-Scale Database Extortion: A Five-Year Census Reveals Massive Damage with Minimal Payoff

406After Incident
CRITICAL-344
MONELA1783283101
Industrial-Scale Database Extortion: A Five-Year Census Reveals Massive Damage with Minimal Payoff A five-year investigation by the Ransomnews Research Team uncovered a staggering scale of exposed databases on the public internet 65,907 instances with 46.3% (30,515) already compromised by ransom or wipe attacks. The study, conducted between May 2021 and May 2026, traced 514 distinct Bitcoin wallets linked to these attacks, revealing a stark imbalance: 62% of wallets received no payments, yet the damage an estimated 215 billion records destroyed or exfiltrated was already done. ### Key Findings - Exposure = Compromise: Nearly 100% of exposed MongoDB, MySQL, Elasticsearch, and Kibana instances carried ransom notes when observed, proving that unsecured databases are almost immediately targeted. - Automated, Low-Effort Attacks: A single Bitcoin wallet appeared in 1,283 ransom notes across 49 countries, demanding 0.01 BTC (~$760) a clear sign of scripted, volume-driven extortion. - Concentrated Profits: Of the 9.78 BTC (~$753,000) paid across five years, the top 10 wallets captured 43%, while the top 50 took 82.8%. Most operators earn little, but a few dominate the profitable end. - Shift from Destruction to Extortion: Early "wiper" attacks (like the 2020 Meow campaign) have nearly vanished, replaced by ransom notes even if most victims don’t pay. ### How the Attacks Work - Industrial-Scale Scripts: Attackers scan for open database ports, drop templated ransom notes (e.g., read_me_to_recover, btc_ransom_note), and move on. Payment is optional; the damage is not. - Disposable Infrastructure: High-volume contact emails (e.g., [email protected]) pair with the same wallets across thousands of attacks, suggesting a small group of operators reusing tools. - Global Distribution: The most affected countries China (11,874), U.S. (4,194), Germany (2,026) reflect cloud-hosting density rather than targeted negligence. ### The Bigger Picture Database extortion remains an overlooked corner of ransomware, lacking the branding of high-profile groups. Yet, its impact is severe: exposed databases are compromised within hours, and even when ransoms go unpaid, the data loss is irreversible. The economics are brutal $25 per ransom-marked database but the operational harm is vast. The lesson for defenders is clear: unsecured databases are not at risk they are already compromised.
INCIDENT DETAILS -
TYPE
Ransomware/Extortion
MOTIVATION
Financial gain (ransom payments), data destruction/exfiltration
IMPACT
Financial Loss: ~$753,000 (9.78 BTC) paid in ransoms over five yearsData Compromised: 215 billion records destroyed or exfiltratedSystems Affected: 65,907 exposed databases, 30,515 compromisedOperational Impact: Irreversible data loss, compromised databases
DATA BREACH
Personally identifiable informationGeneral database recordsNumber Of Records Exposed: 215 billionSensitivity Of Data: High (varies by database)Database files (MongoDB, MySQL, Elasticsearch, Kibana)

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