Comparison Overview
Woods Hole Group, Inc.
Woods Hole Group, Inc.
107 Waterhouse Rd, None, Bourne, Massachusetts, US, 02532
Last Update: 04/04/2026
Woods Hole Group brings over 35 years of experience, committed to exceeding client objectives while safeguarding the environmental health of our planet. We believe environmental leadership is defined by creativity and vision. Human and economic development are not sepa...
Rentokil Initial
Compass House, Manor Royal, Crawley, RH10 9PY, GB
Last Update: 04/04/2026
Rentokil Initial plc employs c.68,500 people across 89 countries - offering the experience and expertise of a multi-national organisation, whilst delivering services with the agility and characteristics of a local business. As world leaders in Pest Control and Hygiene...
Compliance Ranges Comparison
Woods Hole Group, Inc.
Rentokil Initial
Benchmark & Cyber Underwriting Signals
Incidents vs Environmental Services Industry Avg (This Year)
No incidents recorded for Woods Hole Group, Inc. in 2026.
Incidents vs Environmental Services Industry Avg (This Year)
No incidents recorded for Rentokil Initial in 2026.
Incident History - Woods Hole Group, Inc. (X = Date, Y = Severity)
Woods Hole Group, Inc. cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Rentokil Initial (X = Date, Y = Severity)
Rentokil Initial cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Woods Hole Group, Inc.
Rentokil Initial
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.