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Comparison Overview

ShapesShapes
VS
DarDar
Shapes

Shapes

Drammensveien 264, Oslo, 0283, NO

Last Update: 11/03/2026

View Profile
Between 750 and 799
http://www.shapesbyhydro.com
752/1000Fair

Shapes – all things aluminium – powered by Hydro. People have always wanted to make things, and the material is the starting point that shapes the form and function of your product. Shapes is intended to be a knowledge hub – an educational source of inspiration – that...

NAICS:5414
NAICS Definition:Specialized Design Services
Employees:None
Subsidiaries:1
12-month incidents
0
Known data breaches
0
Attack type number
0
Dar

Dar

Beirut, LB

Last Update: 01/04/2026

View Profile
Between 750 and 799
https://dar.com/
790/1000Fair

Dar is one of the world’s leading consultancies, providing design, planning, engineering, sustainability consulting, digital solutions and services, project management, and facilities management for buildings, cities, transportation, civil infrastructure, water, and the...

NAICS:5414
NAICS Definition:Specialized Design Services
Employees:12,502
Subsidiaries:0
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
Shapes

Shapes

-
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
Dar

Dar

-
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 Design Services Industry Avg (This Year)

No incidents recorded for Shapes in 2026.

Incidents

Incidents vs Design Services Industry Avg (This Year)

No incidents recorded for Dar in 2026.

Incidents

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

Shapes cyber incidents detection timeline including parent company and subsidiaries.

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

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

Dar cyber incidents detection timeline including parent company and subsidiaries.

No timeline data available
R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Notable Incidents

Last Cyber / HR Incidents / Global...
Shapes

Shapes

Incidents
No explicit notable incidents reported.
Dar

Dar

Incidents
No explicit notable incidents reported.

FAQ

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