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Comparison Overview

PROJECT M MagazinePROJECT M Magazine
VS
IIFL (India Infoline Group)IIFL (India Infoline Group)
PROJECT M Magazine

PROJECT M Magazine

N/A

Last Update: 28/01/2026

View Profile
Between 750 and 799
http://projectm-online.com/
771/1000Fair

PROJECT M, the stakeholder magazine from Allianz Asset Management, features compelling articles, in-depth research and thought-provoking viewpoints by leading figures.

NAICS:52
NAICS Definition:Finance and Insurance
Employees:None
Subsidiaries:107
12-month incidents
0
Known data breaches
0
Attack type number
0
IIFL (India Infoline Group)

IIFL (India Infoline Group)

B Wing, Trade Centre, Kamala Mills Compound, Lower Parel, Off Senapati Bapat Marg,, Mumbai, Maharashtra, IN, 400013

Last Update: 02/04/2026

View Profile
783/1000Fair

IIFL group is one of India's largest diversified financial services conglomerates with three listed entities - IIFL Finance, IIFL Securities and 360 ONE Wealth & Asset Management. Founded in 1995 by Nirmal Jain as a small research house, today IIFL Group employs over 40...

NAICS:52
NAICS Definition:Finance and Insurance
Employees:14,736
Subsidiaries:1
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
PROJECT M Magazine

PROJECT M Magazine

-
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
IIFL (India Infoline Group)

IIFL (India Infoline Group)

-
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 Financial Services Industry Avg (This Year)

No incidents recorded for PROJECT M Magazine in 2026.

Incidents

Incidents vs Financial Services Industry Avg (This Year)

No incidents recorded for IIFL (India Infoline Group) in 2026.

Incidents

Incident History - PROJECT M Magazine (X = Date, Y = Severity)

PROJECT M Magazine cyber incidents detection timeline including parent company and subsidiaries.

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

Incident History - IIFL (India Infoline Group) (X = Date, Y = Severity)

IIFL (India Infoline Group) 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...
PROJECT M Magazine

PROJECT M Magazine

Incidents
No explicit notable incidents reported.
IIFL (India Infoline Group)

IIFL (India Infoline Group)

Incidents
No explicit notable incidents reported.

FAQ

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