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Comparison Overview

Michigan Department of Attorney GeneralMichigan Department of Attorney General
VS
I WORK FOR SAI WORK FOR SA
Michigan Department of Attorney General

Michigan Department of Attorney General

525 W. Ottawa Street, Lansing, 48909, US

Last Update: 28/03/2026

View Profile
Between 750 and 799
http://www.michigan.gov/ag
762/1000Fair

Official page with helpful information, updates and the latest news from Michigan's Department of Attorney General, led by Attorney General Dana Nessel. Page is managed by department staff and is not a personal page for Attorney General Nessel.

NAICS:92
NAICS Definition:Public Administration
Employees:321
Subsidiaries:43
12-month incidents
0
Known data breaches
0
Attack type number
0
I WORK FOR SA

I WORK FOR SA

200, Victoria Square / Tarndanyangga, Adelaide, 5000, AU

Last Update: 01/04/2026

View Profile
Between 750 and 799
http://iworkfor.sa.gov.au
779/1000Fair

The OFFICIAL careers page for the South Australian Government. The South Australian Public Sector is the State's largest workforce. We are an employer of choice that reflects the diverse community we serve. Our people are from a range of backgrounds and vocations, fro...

NAICS:92
NAICS Definition:Public Administration
Employees:19,039
Subsidiaries:15
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
Michigan Department of Attorney General

Michigan Department of Attorney General

-
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
I WORK FOR SA

I WORK FOR SA

-
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 Government Administration Industry Avg (This Year)

No incidents recorded for Michigan Department of Attorney General in 2026.

Incidents

Incidents vs Government Administration Industry Avg (This Year)

No incidents recorded for I WORK FOR SA in 2026.

Incidents

Incident History - Michigan Department of Attorney General (X = Date, Y = Severity)

Michigan Department of Attorney General cyber incidents detection timeline including parent company and subsidiaries.

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

Incident History - I WORK FOR SA (X = Date, Y = Severity)

I WORK FOR SA 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...
Michigan Department of Attorney General

Michigan Department of Attorney General

Incidents
No explicit notable incidents reported.
I WORK FOR SA

I WORK FOR SA

Incidents
No explicit notable incidents reported.

FAQ

Between Michigan Department of Attorney General company and I WORK FOR SA company, which one has the best AI Cybersecurity Score ?
Between Michigan Department of Attorney General company and I WORK FOR SA company, which one has experienced more cyber incidents in the past ?
Between Michigan Department of Attorney General company and I WORK FOR SA company, which one has experienced more cyber incidents this year ?
Between Michigan Department of Attorney General company and I WORK FOR SA company, which one has experienced at least one ransomware attack ?
Between Michigan Department of Attorney General company and I WORK FOR SA company, which one has experienced at least one data breach ?
Between Michigan Department of Attorney General company and I WORK FOR SA company, which one has experienced at least one targeted cyberattack ?
Between Michigan Department of Attorney General company and I WORK FOR SA company, which one has experienced at least one vulnerability ?
Between Michigan Department of Attorney General company and I WORK FOR SA company, which one holds the most compliance certifications ?
Between Michigan Department of Attorney General company and I WORK FOR SA company, which one holds the fewest compliance certifications ?
Between Michigan Department of Attorney General company and I WORK FOR SA company, which one has the most subsidiaries ?
Between Michigan Department of Attorney General company and I WORK FOR SA company, which one has the largest number of employees ?
Between Michigan Department of Attorney General and I WORK FOR SA, which company holds both SOC 2 Type 1 certifications ?
Between Michigan Department of Attorney General and I WORK FOR SA, which company holds both SOC 2 Type 2 certifications ?
Which company is ISO 27001 certified - Michigan Department of Attorney General or I WORK FOR SA ?
Which company is PCI DSS compliant - Michigan Department of Attorney General or I WORK FOR SA ?
Between Michigan Department of Attorney General and I WORK FOR SA, which company complies with HIPAA regulations for healthcare data ?
Between Michigan Department of Attorney General and I WORK FOR SA, 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