Comparison Overview
Pardus

Pardus
Yüzüncüyıl, İşçi Blokları Mahallesi Muhsin Yazıcıoğlu Caddesi No:51/C, Çankaya, 06530, TR
Last Update: 20/05/2026
The first stable version of the Pardus operating system, whose planning phase began in 2003, was released on December 27, 2005. PARDUS is a Free and Open Source operating system based on Debian GNU/Linux. Since 2017, it has been delivering major releases every two years...

SS&C Technologies
80 Lamberton Road, Windsor, CT, US, 06095
Last Update: 03/04/2026
SS&C is a leading global provider of mission-critical, cloud-based software and solutions for the financial and healthcare industries. Named to the Fortune 1000 list as a top U.S. company based on revenue, SS&C (NASDAQ: SSNC) is a trusted provider to more than 22,000 fi...
Compliance Ranges Comparison

Pardus







SS&C Technologies






Benchmark & Cyber Underwriting Signals
Incidents vs Software Development Industry Avg (This Year)
Pardus has 5.66% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for SS&C Technologies in 2026.
Incident History - Pardus (X = Date, Y = Severity)
Pardus cyber incidents detection timeline including parent company and subsidiaries.
Incident History - SS&C Technologies (X = Date, Y = Severity)
SS&C Technologies cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Pardus

SS&C Technologies
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.