Comparison Overview
Beusa Energy

Beusa Energy
77380, US
Last Update: 11/06/2026
Since 1996, Beusa has been a quiet force of disruption in the energy sector, driven by a relentless passion to redefine what's possible through unmatched innovation. Today, Beusa is the parent company to some of the industry's most trusted partners - Evolution Well Se...

ExxonMobil
US
Last Update: 26/06/2026
The need for energy is universal. That's why ExxonMobil scientists and engineers are pioneering new research and pursuing new technologies to reduce emissions while creating more efficient fuels. We're committed to responsibly meeting the world's energy needs. We aim...
Compliance Ranges Comparison

Beusa Energy







ExxonMobil






Benchmark & Cyber Underwriting Signals
Incidents vs Oil and Gas Industry Avg (This Year)
Beusa Energy has 55.16% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Oil and Gas Industry Avg (This Year)
No incidents recorded for ExxonMobil in 2026.
Incident History - Beusa Energy (X = Date, Y = Severity)
Beusa Energy cyber incidents detection timeline including parent company and subsidiaries.
Incident History - ExxonMobil (X = Date, Y = Severity)
ExxonMobil cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Beusa Energy

ExxonMobil
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.