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Lucidum

Lucidum Vendor Cyber Rating & Cyber Score

lucidum.io

Lucidum is the asset discovery company that eliminates blind spots across cloud, security and IT operations. Fortune 500 companies rely on the Lucidum platform and its patent-pending machine learning to discover, triangulate and identify all assets – even previously unknown unknowns – delivering visibility essential to truly secure, manage, and transform your enterprise. Backed by GGV Capital and Silicon Valley CISO Investors (SVCI), Lucidum is based in San Jose, California.


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
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LucidumComputer and Network Security
Updated:
01/04/2026
691/1000
Weak
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Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
Lucidum Global Score (TPRM)
xxxx
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LucidumComputer and Network Security
•••
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Findings

Lucidum
LucidumWeak
Current Score
691B (WEAK)
01000
1 incidents
-63 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JULY 2026
694Before Incident
JUNE 2026
694Before Incident
MAY 2026
692Before Incident
APRIL 2026
692Before Incident
MARCH 2026
691Before Incident
FEBRUARY 2026
689Before Incident
JANUARY 2026
688Before Incident
DECEMBER 2025
687Before Incident
NOVEMBER 2025
749Before Incident
Breach
23 Nov 2025Lucidum
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

686After Incident
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
Data Leak
IMPACT
Data Compromised: Over 16 terabytes of data, 4+ billion recordsSystems Affected: MongoDB database instanceBrand Reputation Impact: High (potential for large-scale phishing and social engineering attacks)Legal Liabilities: Possible (failure to secure data may have legal ramifications)Identity Theft Risk: High
DATA BREACH
Full namesPhone numbersLinkedIn URLs and profile handlesPosition titlesEmployersEmployment historiesEducation detailsDegreesCertificationsLocation dataLanguagesSkillsFunctionsSocial media accountsImage URLs (photos)Contract informationCorporate relationshipsNumber Of Records Exposed: 4+ billionSensitivity Of Data: High (Personally Identifiable Information, Professional Data)Personally Identifiable Information: Yes
OCTOBER 2025
749Before Incident
SEPTEMBER 2025
749Before Incident
AUGUST 2025
749Before Incident

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