Comparison Overview
Information Communication and Technology Services (ICTS)

Information Communication and Technology Services (ICTS)
7 Main Road, Mowbray, Cape Town, 7700, ZA
Last Update: 30/12/2025
ICTS enables the UCT community to adopt and exploit information technologies to enhance their work. We are responsible for the strategy, planning, management and provision of all core ICT services and infrastructure to campus. We negotiate with vendors to ensure that ...

Thoughtworks
200 E Randolph St, 25th Floor, Chicago, IL, US, 60601-6501
Last Update: 02/04/2026
We are a global technology consultancy that delivers extraordinary impact by blending design, engineering and AI expertise. For 30 years, our commitment to design-led thinking, engineering excellence and innovation means we prioritize people, build teams with strong te...
Compliance Ranges Comparison

Information Communication and Technology Services (ICTS)







Thoughtworks






Benchmark & Cyber Underwriting Signals
Incidents vs Information Technology & Services Industry Avg (This Year)
No incidents recorded for Information Communication and Technology Services (ICTS) in 2026.
Incidents vs Information Technology & Services Industry Avg (This Year)
No incidents recorded for Thoughtworks in 2026.
Incident History - Information Communication and Technology Services (ICTS) (X = Date, Y = Severity)
Information Communication and Technology Services (ICTS) cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Thoughtworks (X = Date, Y = Severity)
Thoughtworks cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Information Communication and Technology Services (ICTS)

Thoughtworks
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.