Comparison Overview
SouthStar Energy Services

SouthStar Energy Services
undefined, undefined, undefined, undefined, US
Last Update: 27/02/2026
SouthStar Energy Services has provided economical and reliable natural gas service to consumers for 25 years. SouthStar has built on the expertise of its parent company, Southern Company Gas, a wholly owned subsidiary of Southern Company (NYSE: SO). A history of solid ...

Bharat Petroleum Corporation Limited
Mumbai, IN
Last Update: 03/04/2026
Fortune Global 500 Company, Bharat Petroleum is the second largest Indian Oil Marketing Company and one of the premier integrated energy companies in India, engaged in refining of crude oil and marketing of petroleum products, with a significant presence in the upstream...
Compliance Ranges Comparison

SouthStar Energy Services







Bharat Petroleum Corporation Limited






Benchmark & Cyber Underwriting Signals
Incidents vs Oil and Gas Industry Avg (This Year)
No incidents recorded for SouthStar Energy Services in 2026.
Incidents vs Oil and Gas Industry Avg (This Year)
No incidents recorded for Bharat Petroleum Corporation Limited in 2026.
Incident History - SouthStar Energy Services (X = Date, Y = Severity)
SouthStar Energy Services cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Bharat Petroleum Corporation Limited (X = Date, Y = Severity)
Bharat Petroleum Corporation Limited cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

SouthStar Energy Services

Bharat Petroleum Corporation Limited
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.