Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download

Comparison Overview

Ralph LaurenRalph Lauren
VS
MANGOMANGO
Ralph Lauren

Ralph Lauren

650 Madison Ave, New York, US

Last Update: 10/07/2026

View Profile
726/1000Moderate

Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of luxury lifestyle products in five categories: apparel, footwear & accessories, home, fragrances and hospitality. For more than 50 years, Ralph Lauren has sought to inspire...

NAICS:448
NAICS Definition:Clothing and Clothing Accessories Stores
Employees:21,231
Subsidiaries:0
12-month incidents
2
Known data breaches
1
Attack type number
2
MANGO

MANGO

Mercaders 9-11, Palau Solità i Plegamans, 08184, ES

Last Update: 02/04/2026

View Profile
Between 750 and 799
https://jobs.mango.com/
755/1000Fair

Mango, one of the leading international fashion groups, is a global company with design and creativity at the heart of its business model and a strategy based on constant innovation, the pursuit of sustainability and a complete ecosystem of channels and partners. With ...

NAICS:448
NAICS Definition:Clothing and Clothing Accessories Stores
Employees:16,012
Subsidiaries:0
12-month incidents
1
Known data breaches
2
Attack type number
1

Compliance Ranges Comparison

Based On Specific Ai Models Category
Ralph Lauren

Ralph Lauren

-
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
MANGO

MANGO

-
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 Retail Apparel and Fashion Industry Avg (This Year)

Ralph Lauren has 33.33% fewer incidents than the average of same-industry companies with at least one recorded incident.

Incidents

Incidents vs Retail Apparel and Fashion Industry Avg (This Year)

MANGO has 3.85% fewer incidents than the average of all companies with at least one recorded incident.

Incidents

Incident History - Ralph Lauren (X = Date, Y = Severity)

Ralph Lauren cyber incidents detection timeline including parent company and subsidiaries.

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

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

MANGO 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...
Ralph Lauren

Ralph Lauren

Incidents
🔒 Incident : Breach
RAL1781828694
🔒 Incident : Cyber Attack
NTTPLURALCARHEL1776148133
MANGO

MANGO

Incidents
🔒 Incident : Breach
ZAR1778228840
🔒 Incident : Breach
MAN2192421101625

FAQ

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