Comparison Overview
Chili's

Chili's
3000 Olympus Blvd, Dallas, Texas, US, 75019
Last Update: 01/04/2026
Chili's opened as a fun Dallas burger joint with a loyalty to happy hour and blue jeans. We prided ourselves on our humble beginnings, following a devotion to great food, warm hospitality and community spirit. Today, with restaurants all over the world, we continue to c...

Jimmy John's
3 Glenlake Pkwy NE, Sandy Springs, Georgia, US, 30328
Last Update: 02/04/2026
THE SANDWICH OF SANDWICHES℠ At Jimmy John's, we don't make sandwiches. We make The Sandwich of Sandwiches℠. We use fresh vegetables because we don't hate salads, we just feel bad for them. We hand-slice our provolone cheese and meats in-house every day, because packag...
Compliance Ranges Comparison

Chili's







Jimmy John's






Benchmark & Cyber Underwriting Signals
Incidents vs Restaurants Industry Avg (This Year)
No incidents recorded for Chili's in 2026.
Incidents vs Restaurants Industry Avg (This Year)
No incidents recorded for Jimmy John's in 2026.
Incident History - Chili's (X = Date, Y = Severity)
Chili's cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Jimmy John's (X = Date, Y = Severity)
Jimmy John's cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Chili's

Jimmy John's
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.