Comparison Overview
Changan Automobile

Changan Automobile
260 East Jianxin Rd, Jiangbei District, Chongqing, CN, 400023
Last Update: 23/05/2026
CHANGAN Automobile is one of China’s Big Four automotive manufacturers, with over 44 years of expertise in vehicle manufacturing and innovation. With a strong global presence, CHANGAN operates 21 manufacturing bases and 76 production facilities worldwide, delivering hi...

Scania Group
Vagnmakarvägen 1, Södertälje, SE, SE-151 87
Last Update: 08/04/2026
Scania is a world-leading provider of transport solutions committed to a better tomorrow. Our purpose is to drive the shift towards a sustainable transport system. In doing so, we are creating a world of mobility that’s better for business, society and our environment. ...
Compliance Ranges Comparison

Changan Automobile







Scania Group






Benchmark & Cyber Underwriting Signals
Incidents vs Motor Vehicle Manufacturing Industry Avg (This Year)
No incidents recorded for Changan Automobile in 2026.
Incidents vs Motor Vehicle Manufacturing Industry Avg (This Year)
No incidents recorded for Scania Group in 2026.
Incident History - Changan Automobile (X = Date, Y = Severity)
Changan Automobile cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Scania Group (X = Date, Y = Severity)
Scania Group cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Changan Automobile

Scania Group
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.