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Comparison Overview

South Washington County SchoolsSouth Washington County Schools
VS
Toronto District School BoardToronto District School Board
South Washington County Schools

South Washington County Schools

7362 E. Point Douglas Rd. S., Cottage Grove, 55016, US

Last Update: 06/04/2026

View Profile
Between 600 and 649
http://www.sowashco.org
647/1000Poor

South Washington County Schools (SoWashCo Schools) is a premiere school district located east of St. Paul, encompassing all or parts of Cottage Grove, Newport, St. Paul Park, Woodbury, and Afton, Denmark and Grey Cloud Island Townships. More than 18,400 students attend ...

NAICS:6111
NAICS Definition:Elementary and Secondary Schools
Employees:1,301
Subsidiaries:1
12-month incidents
1
Known data breaches
0
Attack type number
3
Toronto District School Board

Toronto District School Board

5050 Yonge Street, Toronto, M2N 5N8, CA

Last Update: 02/04/2026

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Between 700 and 749
http://www.tdsb.on.ca
713/1000Moderate

The Toronto District School Board (TDSB) is the largest and one of the most diverse school boards in Canada, and recognized by Forbes and Statista as one of Canada's Best Employers for Diversity for 2023. We serve more than 239,000 students in 582 schools throughout Tor...

NAICS:6111
NAICS Definition:Elementary and Secondary Schools
Employees:11,546
Subsidiaries:0
12-month incidents
0
Known data breaches
1
Attack type number
1

Compliance Ranges Comparison

Based On Specific Ai Models Category
South Washington County Schools

South Washington County 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
Toronto District School Board

Toronto District School Board

-
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 Primary and Secondary Education Industry Avg (This Year)

South Washington County Schools has 34.64% fewer incidents than the average of same-industry companies with at least one recorded incident.

Incidents

Incidents vs Primary and Secondary Education Industry Avg (This Year)

No incidents recorded for Toronto District School Board in 2026.

Incidents

Incident History - South Washington County Schools (X = Date, Y = Severity)

South Washington County Schools cyber incidents detection timeline including parent company and subsidiaries.

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

Incident History - Toronto District School Board (X = Date, Y = Severity)

Toronto District School Board 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...
South Washington County Schools

South Washington County Schools

Incidents
🔒 Incident : Ransomware
LEHALASOW1775500819
🔒 Incident : Data Leak
SOU112181122
🔒 Incident : Cyber Attack
SOU2267622
Toronto District School Board

Toronto District School Board

Incidents
🔒 Incident : Breach
POW1393613112025

FAQ

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