Comparison Overview
Open Dealer Exchange

Open Dealer Exchange
26555 Northwestern Hwy, Southfield, 48033, US
Last Update: 05/04/2026
Open Dealer Exchange provides specialized software and services that integrate with many dealer management systems and CRMs through our three lines of business: Deal Exchange, Provider Exchange Network, and 700Credit. We are a technology hub focused on transforming the...

Meituan
Wangjing International R&D Park, No.6 Wangjing East Road, Chaoyang District, Beijing, CN, 100102
Last Update: 19/07/2026
Adhering to the ‘Retail + Technology’ strategy, Meituan commits to its mission that 'We help people eat better, live better'. Since its establishment in March 2010, Meituan has advanced the digital upgrading of services and goods retail on both supply and demand sides....
Compliance Ranges Comparison

Open Dealer Exchange







Meituan






Benchmark & Cyber Underwriting Signals
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for Open Dealer Exchange in 2026.
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for Meituan in 2026.
Incident History - Open Dealer Exchange (X = Date, Y = Severity)
Open Dealer Exchange cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Meituan (X = Date, Y = Severity)
Meituan cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Open Dealer Exchange

Meituan
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.