Comparison Overview
Bombela Operating Company (PTY) LTD

Bombela Operating Company (PTY) LTD
Alsation Road, Johannesburg, 2090, ZA
Last Update: 28/05/2026
The Gautrain system (Johannesburg new railway network - nearly 80km long, 10 stations - and bus feeder services) is operated and maintained by the Bombela Operating Company under contract to the Bombela Concession Company. The Operating Company consists of RATP Developm...

Union Pacific Railroad
1400 Douglas Street, Omaha, 68179, US
Last Update: 06/07/2026
One of America's most recognized companies, Union Pacific Railroad connects 23 states in the western two-thirds of the country by rail, providing a critical link in the global supply chain. The railroad's diversified business mix includes Agricultural Products, Automoti...
Compliance Ranges Comparison

Bombela Operating Company (PTY) LTD







Union Pacific Railroad






Benchmark & Cyber Underwriting Signals
Incidents vs Rail Transportation Industry Avg (This Year)
No incidents recorded for Bombela Operating Company (PTY) LTD in 2026.
Incidents vs Rail Transportation Industry Avg (This Year)
No incidents recorded for Union Pacific Railroad in 2026.
Incident History - Bombela Operating Company (PTY) LTD (X = Date, Y = Severity)
Bombela Operating Company (PTY) LTD cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Union Pacific Railroad (X = Date, Y = Severity)
Union Pacific Railroad cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Bombela Operating Company (PTY) LTD

Union Pacific Railroad
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.