Comparison Overview
Comtech Telecommunications Corp.

Comtech Telecommunications Corp.
305 N 54th St, Chandler, 85226, US
Last Update: 01/04/2026
Comtech Telecommunications Corp. is a leading provider of satellite and space communications technologies; terrestrial and wireless network solutions; Next Generation 911 (NG911) and emergency services; and cloud native capabilities to commercial and government customer...

IndiaMART InterMESH Limited
IndiaMART InterMESH Ltd., 6th floor, Tower 2, Assotech Business Cresterra, Noida, 201305, IN
Last Update: 01/04/2026
IndiaMART is India's largest online B2B marketplace, connecting buyers with suppliers across a wide array of industries. IndiaMART provides a platform for Small & Medium Enterprises (SMEs), large enterprises, and individual buyers, helping them access diverse portfolios...
Compliance Ranges Comparison

Comtech Telecommunications Corp.







IndiaMART InterMESH Limited






Benchmark & Cyber Underwriting Signals
Incidents vs Technology, Information and Internet Industry Avg (This Year)
Comtech Telecommunications Corp. has 39.02% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Technology, Information and Internet Industry Avg (This Year)
No incidents recorded for IndiaMART InterMESH Limited in 2026.
Incident History - Comtech Telecommunications Corp. (X = Date, Y = Severity)
Comtech Telecommunications Corp. cyber incidents detection timeline including parent company and subsidiaries.
Incident History - IndiaMART InterMESH Limited (X = Date, Y = Severity)
IndiaMART InterMESH Limited cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Comtech Telecommunications Corp.

IndiaMART InterMESH Limited
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.