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Comparison Overview

Black River Falls School DistBlack River Falls School Dist
VS
Jefferson County Public SchoolsJefferson County Public Schools
Black River Falls School Dist

Black River Falls School Dist

N/A

Last Update: 29/03/2026

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Between 750 and 799
http://www.brf.org
757/1000Fair

NAICS:92311
NAICS Definition:Administration of Education Programs
Employees:92
Subsidiaries:0
12-month incidents
0
Known data breaches
0
Attack type number
1
Jefferson County Public Schools

Jefferson County Public Schools

3332 Newburg Road, Louisville, 40223, US

Last Update: 11/06/2026

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717/1000Moderate

— 30th largest school district in the U.S. — 96,000+ students — 17,400+ full- and part-time employees, including 6,800+ certified teachers Vision All JCPS students graduate prepared, empowered, and inspired to reach their full potential and contribute as thoughtful, r...

NAICS:92311
NAICS Definition:Administration of Education Programs
Employees:13,057
Subsidiaries:0
12-month incidents
0
Known data breaches
0
Attack type number
1

Compliance Ranges Comparison

Based On Specific Ai Models Category
Black River Falls School Dist

Black River Falls School Dist

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA
Jefferson County Public Schools

Jefferson County Public Schools

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA

Benchmark & Cyber Underwriting Signals

Incidents vs Education Administration Programs Industry Avg (This Year)

No incidents recorded for Black River Falls School Dist in 2026.

Incidents

Incidents vs Education Administration Programs Industry Avg (This Year)

No incidents recorded for Jefferson County Public Schools in 2026.

Incidents

Incident History - Black River Falls School Dist (X = Date, Y = Severity)

Black River Falls School Dist cyber incidents detection timeline including parent company and subsidiaries.

R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Incident History - Jefferson County Public Schools (X = Date, Y = Severity)

Jefferson County Public Schools cyber incidents detection timeline including parent company and subsidiaries.

R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Notable Incidents

Last Cyber / HR Incidents / Global...
Black River Falls School Dist

Black River Falls School Dist

Incidents
🔒 Incident : Cyber Attack
BLA3714522
Jefferson County Public Schools

Jefferson County Public Schools

Incidents
🔒 Incident : Ransomware
JEF1781152431

FAQ

Between Black River Falls School Dist company and Jefferson County Public Schools company, which one has the best AI Cybersecurity Score ?
Between Black River Falls School Dist company and Jefferson County Public Schools company, which one has experienced more cyber incidents in the past ?
Between Black River Falls School Dist company and Jefferson County Public Schools company, which one has experienced more cyber incidents this year ?
Between Black River Falls School Dist company and Jefferson County Public Schools company, which one has experienced at least one ransomware attack ?
Between Black River Falls School Dist company and Jefferson County Public Schools company, which one has experienced at least one data breach ?
Between Black River Falls School Dist company and Jefferson County Public Schools company, which one has experienced at least one targeted cyberattack ?
Between Black River Falls School Dist company and Jefferson County Public Schools company, which one has experienced at least one vulnerability ?
Between Black River Falls School Dist company and Jefferson County Public Schools company, which one holds the most compliance certifications ?
Between Black River Falls School Dist company and Jefferson County Public Schools company, which one holds the fewest compliance certifications ?
Between Black River Falls School Dist company and Jefferson County Public Schools company, which one has the most subsidiaries ?
Between Black River Falls School Dist company and Jefferson County Public Schools company, which one has the largest number of employees ?
Between Black River Falls School Dist and Jefferson County Public Schools, which company holds both SOC 2 Type 1 certifications ?
Between Black River Falls School Dist and Jefferson County Public Schools, which company holds both SOC 2 Type 2 certifications ?
Which company is ISO 27001 certified - Black River Falls School Dist or Jefferson County Public Schools ?
Which company is PCI DSS compliant - Black River Falls School Dist or Jefferson County Public Schools ?
Between Black River Falls School Dist and Jefferson County Public Schools, which company complies with HIPAA regulations for healthcare data ?
Between Black River Falls School Dist and Jefferson County Public Schools, which company complies with GDPR requirements ?

Latest Global CVEs

CVE-2026-63261
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8
CVE-2026-63260
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8
CVE-2026-63259
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.8
CVE-2026-63145
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.8
CVE-2026-63144
SUMMARY

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.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8