Lucidum A.I CyberSecurity Scoring
Lucidum
Company Information
Website:https://www.lucidum.io/
Employees number:11
Number of followers:2,073
NAICS:541514
Industry Type:Computer and Network Security
Homepage:lucidum.io
Lucidum Risk Score (AI oriented)
Between 650 and 699
LucidumComputer and Network Security
Updated:
01/04/2026
01/04/2026
691/1000
Weak
B
Lucidum Global Score (TPRM)
xxxx
LucidumComputer and Network Security
Score locked

LucidumWeak
Current Score
691B (WEAK)
01000
1 incidents
-63 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JULY 2026
694
JUNE 2026
694
MAY 2026
692
APRIL 2026
692
MARCH 2026
691
FEBRUARY 2026
689
JANUARY 2026
688
DECEMBER 2025
687
NOVEMBER 2025
749
Breach
23 Nov 2025 • Lucidum
Lucidum: 4.3 billion job documents left unsecured online — names, emails, phone numbers and LinkedIn data exposed
Unprotected MongoDB Database Exposes 16TB of Professional and Corporate Data
686
CRITICAL-63
LUC1765397886
Massive 16TB Corporate Data Leak Exposes Over 4 Billion Records
Researchers from Cybernews uncovered one of the largest publicly exposed datasets ever—a 16TB unprotected database containing over four billion records of professional and corporate data. The leak, discovered on November 23, included detailed LinkedIn profiles, employment histories, and personal information such as full names, phone numbers, job titles, employers, education, skills, social media accounts, and even profile photos.
The data, stored in an unsecured MongoDB instance, appeared to be scraped from public sources over time and across multiple regions. While the database was secured two days after its discovery, the duration of its exposure remains unknown. The incident likely stemmed from human error, a common cause of misconfigured databases lacking proper authentication.
Due to its structured and up-to-date nature, the dataset poses significant risks. Cybercriminals could exploit the information for large-scale phishing campaigns, social engineering attacks, or automated malicious operations—potentially leveraging AI tools like large language models (LLMs) to craft convincing fraudulent messages.
Though collecting publicly available data isn’t illegal, the failure to secure such a vast repository may have legal consequences. The origin of the data and potential accountability for the leak remain unclear.
INCIDENT DETAILS -
TYPE
IMPACT
DATA BREACH
REFERENCES
OCTOBER 2025
749
SEPTEMBER 2025
749
AUGUST 2025
749
Frequently Asked Questions
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