ENORISE A.I CyberSecurity Scoring
09/11/2025
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for ENORISE in 2026.
No incidents recorded for ENORISE in 2026.
No incidents recorded for ENORISE in 2026.
Changan Automobile is among Top 4 Chinese automobile groups , with a history of 157 years, Changan Automobile has 35 years’ experience in auto-making. Changan has 16 production bases and 35 vehicle and engine plants globally. In 2014, total production and sales of Changan-branded vehicles exceeded 10 million. Changan’s production and sales volume in 2016 hit 3,000,000 units. By July of 2018, Changan-branded vehicle users have exceeded 17 million. Changan Automobile is committed to building world-class R&D capability. For 5 sessions in the past 10 years, Changan has been NO.1 in R&D capability in China’s automotive industry. Changan has over 12,000 R&D personnel from 18 countries, nearly 600 are senior experts, sitting at the forefront of China’s auto industry. We have built a globally collaborative R&D network with various priorities, connecting the R&D centers in Chongqing, Shanghai and Beijing of China, Turin of Italy, Yokohama of Japan, Nottingham of UK ,Detroit of USA and Munich of Germany. To ensure all products meet customers’ demand of driving for 10 years and 260,000 kilometers, Changan has established product development system and test validation system. In April 2018, Changan unveiled The Third Breakthrough-Innovation and Business Venture Program, with an aim to build a global leading automobile company. With this blueprint, Changan is committed to transforming itself into a leading technology company offering smart mobility solutions and services. The program expects to drive growth by innovation, enhance efficiency as the core competitiveness in organization, transform the company in four key areas and boost innovation in three fields. Changan Automobile has launched a series of classic products including CS series, EADO series, RAETON series and ect. With “hi-tech and trendy, efficient and clean, safe and smart” guiding product design, Changan has been vigorously developing new energy vehicles and intelligent vehicles.
Latest updates, reports, and threat intel affecting the global network.
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.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
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