Comparison Overview
U.S. Probation Office, Southern District of California

U.S. Probation Office, Southern District of California
101 W Broadway, San Diego, California, 92101, US
Last Update: 23/01/2026
The U.S. Probation Office for the Southern District of California serves the Court by investigating and supervising individuals convicted of federal crimes. Some examples of federal crimes include interstate drug crimes, tax evasion, major frauds, cybercrimes, and immi...

Federal Bureau of Investigation (FBI)
J. Edgar Hoover Building, Washington, 20535-0001, US
Last Update: 30/06/2026
This is the official Federal Bureau of Investigation (FBI) LinkedIn account and is used to build awareness of workplace culture, engagement opportunities, and the FBI mission. The FBI does not collect comments or messages through this account. The FBI is the premier ...
Compliance Ranges Comparison

U.S. Probation Office, Southern District of California







Federal Bureau of Investigation (FBI)






Benchmark & Cyber Underwriting Signals
Incidents vs Law Enforcement Industry Avg (This Year)
No incidents recorded for U.S. Probation Office, Southern District of California in 2026.
Incidents vs Law Enforcement Industry Avg (This Year)
Federal Bureau of Investigation (FBI) has 1138.1% more incidents than the average of all companies with at least one recorded incident.
Incident History - U.S. Probation Office, Southern District of California (X = Date, Y = Severity)
U.S. Probation Office, Southern District of California cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Federal Bureau of Investigation (FBI) (X = Date, Y = Severity)
Federal Bureau of Investigation (FBI) cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

U.S. Probation Office, Southern District of California

Federal Bureau of Investigation (FBI)
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.