Comparison Overview
PwC Podatki

PwC Podatki
Polna 11, Warsaw, 00-633, PL
Last Update: 05/03/2026
W PwC naszym celem jest budowanie społecznego zaufania i odpowiadanie na kluczowe wyzwania współczesnego świata. Jesteśmy siecią firm działającą w 155 krajach. Zatrudniamy ponad 284 tysięcy osób, które dostarczają naszym klientom najwyższej jakości usługi w zakresie dor...

Korn Ferry
1900 Avenue of The Stars, Suite 2600, Los Angeles, CA, US, 90067
Last Update: 01/04/2026
Korn Ferry is a global consulting firm that powers performance. We unlock the potential in your people and unleash transformation across your business—synchronizing strategy, operations, and talent to accelerate performance, fuel growth, and inspire a legacy of change. ...
Compliance Ranges Comparison

PwC Podatki







Korn Ferry






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

PwC Podatki

Korn Ferry
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.