Comparison Overview
Geni.com

Geni.com
P.O. Box 4015, Burbank, 91503, US
Last Update: 02/04/2026
Geni is solving the problem of genealogy by inviting the world to build the definitive online family tree. Using the basic free service, users add and invite their relatives to join their family tree, which Geni compares to other trees. Matching trees are then merged in...

Mercado Livre Brasil
Avenida das Nações Unidas 3003 , sao pablo, 06233, BR
Last Update: 03/04/2026
At Mercado Libre, we are transforming the way people buy, sell, advertise, pay, finance, and ship across Latin America. We are the leading e-commerce and fintech company in the region, with a presence in 18 countries and a team of more than 120,000 people. We are one o...
Compliance Ranges Comparison

Geni.com







Mercado Livre Brasil






Benchmark & Cyber Underwriting Signals
Incidents vs Technology, Information and Internet Industry Avg (This Year)
No incidents recorded for Geni.com in 2026.
Incidents vs Technology, Information and Internet Industry Avg (This Year)
No incidents recorded for Mercado Livre Brasil in 2026.
Incident History - Geni.com (X = Date, Y = Severity)
Geni.com cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Mercado Livre Brasil (X = Date, Y = Severity)
Mercado Livre Brasil cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Geni.com

Mercado Livre Brasil
FAQ
Latest Global CVEs
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users.
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users.
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.
Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.
Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to denial of service via a specially crafted search request submitted by a low-privileged authenticated user. A user with read-level index access can submit a request that triggers unbounded recursive processing within the Elasticsearch query evaluation component, causing a fatal error that terminates the affected node. In single-node deployments, this results in complete service outage; in multi-node clusters, it causes repeated node restarts and sustained availability degradation.