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Comparison Overview

AlogentAlogent
VS
AirbnbAirbnb
Alogent

Alogent

35 Innovation Drive, Peachtree Corners, 30092, US

Last Update: 01/04/2026

View Profile
Between 750 and 799
https://www.alogent.com
754/1000Fair

Alogent delivers end-to-end solutions for check payment processing, enterprise content and information management, and loan and exception tracking. We support financial institutions of all sizes—credit unions, community banks, and global institutions—by reducing costs, ...

NAICS:5112
NAICS Definition:Software Publishers
Employees:189
Subsidiaries:0
12-month incidents
0
Known data breaches
0
Attack type number
1
Airbnb

Airbnb

888 Brannan Street, San Francisco, CA, US, 94103

Last Update: 02/04/2026

View Profile
Between 800 and 849
http://airbnb.com
812/1000Good

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays, experienc...

NAICS:5112
NAICS Definition:Software Publishers
Employees:67,516
Subsidiaries:4
12-month incidents
0
Known data breaches
0
Attack type number
1

Compliance Ranges Comparison

Based On Specific Ai Models Category
Alogent

Alogent

-
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
Airbnb

Airbnb

-
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 Software Development Industry Avg (This Year)

No incidents recorded for Alogent in 2026.

Incidents

Incidents vs Software Development Industry Avg (This Year)

No incidents recorded for Airbnb in 2026.

Incidents

Incident History - Alogent (X = Date, Y = Severity)

Alogent cyber incidents detection timeline including parent company and subsidiaries.

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

Incident History - Airbnb (X = Date, Y = Severity)

Airbnb 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...
Alogent

Alogent

Incidents
🔒 Incident : Vulnerability
ALO050072725
Airbnb

Airbnb

Incidents
🔒 Incident : Cyber Attack
AIR746060225

FAQ

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