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Comparison Overview

mobile.demobile.de
VS
SwiggySwiggy
mobile.de

mobile.de

Albert-Einstein Ring 26, Kleinmachnow, Brandenburg, 14532, DE

Last Update: 04/12/2025

View Profile
Between 750 and 799
https://mobile.de/careers
770/1000Fair

Founded in 1996, we disrupted the status quo of buying and selling cars with the first online vehicle marketplace, driven by the idea to create something new. As a driver of change for growth and innovation we became more than just a platform. We are an ecosystem of ski...

NAICS:513
NAICS Definition:Others
Employees:562
Subsidiaries:22
12-month incidents
0
Known data breaches
0
Attack type number
0
Swiggy

Swiggy

Bengaluru, Karnataka, IN

Last Update: 01/04/2026

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

Swiggy is India’s pioneering on-demand convenience platform, catering to millions of consumers each month. Founded in 2014, its mission is to elevate the quality of life for the urban consumer by offering unparalleled convenience. With an extensive footprint in food del...

NAICS:513
NAICS Definition:Others
Employees:26,451
Subsidiaries:2
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
mobile.de

mobile.de

-
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
Swiggy

Swiggy

-
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 Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for mobile.de in 2026.

Incidents

Incidents vs Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for Swiggy in 2026.

Incidents

Incident History - mobile.de (X = Date, Y = Severity)

mobile.de cyber incidents detection timeline including parent company and subsidiaries.

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

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

Swiggy 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...
mobile.de

mobile.de

Incidents
No explicit notable incidents reported.
Swiggy

Swiggy

Incidents
No explicit notable incidents reported.

FAQ

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