Comparison Overview
PwC Karriere

PwC Karriere
Friedrich-Ebert-Anlage 35-37, Frankfurt am Main, 60327, DE
Last Update: 11/03/2026
Bist du bereit, etwas zu verändern? In unserem weltweiten Netzwerk hast du unendlich viele Möglichkeiten, zu wachsen und dich weiterzuentwickeln. In unserem Team kommen die unterschiedlichsten Persönlichkeiten mit herausragenden, innovativen Ideen und einer Leidenscha...

Genpact
1155, Avenue of the Americas, 4th Floor,, New York, NY, US, 10036
Last Update: 02/04/2026
Genpact is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how ...
Compliance Ranges Comparison

PwC Karriere







Genpact






Benchmark & Cyber Underwriting Signals
Incidents vs Business Consulting and Services Industry Avg (This Year)
No incidents recorded for PwC Karriere in 2026.
Incidents vs Business Consulting and Services Industry Avg (This Year)
No incidents recorded for Genpact in 2026.
Incident History - PwC Karriere (X = Date, Y = Severity)
PwC Karriere cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Genpact (X = Date, Y = Severity)
Genpact cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

PwC Karriere

Genpact
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.