Comparison Overview
RP Sanjiv Goenka Group

RP Sanjiv Goenka Group
Kolkata, IN
Last Update: 01/04/2026
The RPSG Group is one of India's fastest growing conglomerates with a significant global presence. The Group's businesses include power and energy, carbon black manufacturing, retail, IT-enabled services, FMCG, media and entertainment, and agriculture. In the last few ...

Fosun 复星
600, ZHONGSHAN NO.2 ROAD(E) SHANGHAI, 200010 PRC, Shanghai, CN, 200010
Last Update: 01/04/2026
Fosun was founded in 1992. After more than 30 years of development, Fosun has become a global innovation-driven consumer group. Adhering to the mission of creating happier lives for families worldwide, Fosun is committed to creating a global happiness ecosystem fulfilli...
Compliance Ranges Comparison

RP Sanjiv Goenka Group







Fosun 复星






Benchmark & Cyber Underwriting Signals
Incidents vs Consumer Services Industry Avg (This Year)
No incidents recorded for RP Sanjiv Goenka Group in 2026.
Incidents vs Consumer Services Industry Avg (This Year)
No incidents recorded for Fosun 复星 in 2026.
Incident History - RP Sanjiv Goenka Group (X = Date, Y = Severity)
RP Sanjiv Goenka Group cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Fosun 复星 (X = Date, Y = Severity)
Fosun 复星 cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

RP Sanjiv Goenka Group

Fosun 复星
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.