Comparison Overview
Cholamandalam Investment and Finance Company Limited

Cholamandalam Investment and Finance Company Limited
Chola Crest, C54-55 & Super B-4, Thiru-Vi-Ka Industrial Estate, Guindy,, Chennai, Tamil Nadu, IN, 600032
Last Update: 02/04/2026
Cholamandalam Investment and Finance Company Limited (Chola), founded in 1978 as part of the Murugappa Group, initially focused on equipment financing. Over the years, Chola has transformed into a leading comprehensive financial services provider, offering a wide array ...

Western Union
7001 E Belleview, Denver, CO, US, 80237
Last Update: 01/04/2026
Many know us as the most trusted way to send money to friends and family overseas and across borders, but we're much more than that. Our talented teams around the world are building new ways to send, save and spend money. Wherever you are in the world, in whatever cur...
Compliance Ranges Comparison

Cholamandalam Investment and Finance Company Limited







Western Union






Benchmark & Cyber Underwriting Signals
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for Cholamandalam Investment and Finance Company Limited in 2026.
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for Western Union in 2026.
Incident History - Cholamandalam Investment and Finance Company Limited (X = Date, Y = Severity)
Cholamandalam Investment and Finance Company Limited cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Western Union (X = Date, Y = Severity)
Western Union cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Cholamandalam Investment and Finance Company Limited

Western Union
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.