Comparison Overview
EF Adventures

EF Adventures
2 Education Circle, Cambridge, 02141, US
Last Update: 10/03/2026
EF Adventures is a new culturally immersive, guided adventure tour operator with more than 20 tours in 16 countries across the world. Launching in September 2024 as part of the EF World Journeys family of experiential travel brands, the company brings more than 30 years...

Enterprise Mobility
600 Corporate Park Drive, St. Louis, Missouri, US, 63105
Last Update: 04/04/2026
At Enterprise Mobility™ we are paving a new way forward by creating better experiences for how we move. We give people around the world the ability to connect in ways that suit their unique needs. It’s a bold idea that has defined our purpose-led, people-first organizat...
Compliance Ranges Comparison

EF Adventures







Enterprise Mobility






Benchmark & Cyber Underwriting Signals
Incidents vs Travel Arrangements Industry Avg (This Year)
No incidents recorded for EF Adventures in 2026.
Incidents vs Travel Arrangements Industry Avg (This Year)
No incidents recorded for Enterprise Mobility in 2026.
Incident History - EF Adventures (X = Date, Y = Severity)
EF Adventures cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Enterprise Mobility (X = Date, Y = Severity)
Enterprise Mobility cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

EF Adventures

Enterprise Mobility
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.