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

Comparison Overview

Nippon Paint IndonesiaNippon Paint Indonesia
VS
dsm-firmenichdsm-firmenich
Nippon Paint Indonesia

Nippon Paint Indonesia

Jln. Ancol Barat I/A5/C No.12, Jakarta Utara, 14430, ID

Last Update: 11/12/2025

View Profile
757/1000Fair

With over 140 years of experience in the coatings industry and a presence in more than 30 countries, NIPPON PAINT is one of the leading coatings brand globally. Back in Indonesia, we are the number one coatings manufacturer in terms of production capacity as well as ann...

NAICS:325
NAICS Definition:Chemical Manufacturing
Employees:560
Subsidiaries:18
12-month incidents
0
Known data breaches
0
Attack type number
0
dsm-firmenich

dsm-firmenich

N/A

Last Update: 02/04/2026

View Profile
Between 750 and 799
http://www.dsm-firmenich.com
792/1000Fair

We are dsm-firmenich – innovators in nutrition, health, and beauty. We bring progress to life by combining the essential, the desirable, and the sustainable. From our master perfumers and flavorists to our expert nutritionists and scientists, our trailblazing teams wo...

NAICS:325
NAICS Definition:Chemical Manufacturing
Employees:27,774
Subsidiaries:18
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
Nippon Paint Indonesia

Nippon Paint Indonesia

-
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
dsm-firmenich

dsm-firmenich

-
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 Chemical Manufacturing Industry Avg (This Year)

No incidents recorded for Nippon Paint Indonesia in 2026.

Incidents

Incidents vs Chemical Manufacturing Industry Avg (This Year)

No incidents recorded for dsm-firmenich in 2026.

Incidents

Incident History - Nippon Paint Indonesia (X = Date, Y = Severity)

Nippon Paint Indonesia 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 - dsm-firmenich (X = Date, Y = Severity)

dsm-firmenich 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...
Nippon Paint Indonesia

Nippon Paint Indonesia

Incidents
No explicit notable incidents reported.
dsm-firmenich

dsm-firmenich

Incidents
No explicit notable incidents reported.

FAQ

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

Latest Global CVEs

CVE-2026-57980
SUMMARY

Authentication bypass using an alternate path or channel in Microsoft Edge (Chromium-based) allows an unauthorized attacker to perform tampering over a network.

PUBLISHED
Date2026-07-17
UPDATED
Date2026-07-17
RISK INFORMATION (Score: 5.4)
CVSS3
Base Score: 5.4
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N
IMPACT SCORE
2.5
EXPLOITABILITY
2.8
CVE-2026-56741
SUMMARY

JLine is a Java library for handling console input. Prior to 3.30.14, 4.0.16, and 4.2.1, the JLine3 Telnet server remote-telnet module does not apply an upper bound to terminal dimensions received via the Telnet NAWS option, and TelnetIO.handleNAWS() in TelnetIO.java:856-879 reads client-supplied width and height as 16-bit unsigned integers and passes values such as 65535x65535 to setTerminalGeometry(), allowing an unauthenticated remote attacker to repeatedly alternate values and trigger continuous expensive rendering work that causes CPU exhaustion and denial of service. This issue is fixed in versions 3.30.14, 4.0.16, and 4.2.1.

PUBLISHED
Date2026-07-17
UPDATED
Date2026-07-17
RISK INFORMATION (Score: 7.5)
CVSS3
Base Score: 7.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
3.9
CVE-2026-56740
SUMMARY

JLine is a Java library for handling console input. Prior to 3.30.14, 4.0.16, and 4.2.1, the JLine3 Telnet server remote-telnet module does not limit the number of environment variables a client may inject via the Telnet NEW-ENVIRON option, and TelnetIO.readNEVariables() in TelnetIO.java:1127-1180 stores each variable pair in a HashMap held by ConnectionData, allowing an unauthenticated attacker to flood unique variable pairs before the terminating IAC SE byte and exhaust JVM heap memory with an OutOfMemoryError. This issue is fixed in versions 3.30.14, 4.0.16, and 4.2.1.

PUBLISHED
Date2026-07-17
UPDATED
Date2026-07-17
RISK INFORMATION (Score: 7.5)
CVSS3
Base Score: 7.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
3.9
CVE-2026-56171
SUMMARY

Exposure of private personal information to an unauthorized actor in Windows RDP allows an unauthorized attacker to disclose information over a network.

PUBLISHED
Date2026-07-17
UPDATED
Date2026-07-17
RISK INFORMATION (Score: 7.1)
CVSS3
Base Score: 7.1
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N
IMPACT SCORE
4.2
EXPLOITABILITY
2.8
CVE-2026-54335
SUMMARY

Feathersjs is a framework for creating web APIs and real-time applications with TypeScript or JavaScript. In 5.0.44 and earlier, the _.merge(target, source) utility exported by @feathersjs/commons recursively merges source into target by iterating Object.keys(source). When source was produced by JSON.parse and contains a __proto__, constructor, or prototype key, that key is returned as an own-enumerable property; the recursive merge then resolves target['__proto__'] to Object.prototype and writes attacker-supplied properties onto it, polluting the prototype for all plain objects in the process for the lifetime of the Node process. This issue is fixed in version 5.0.45.

PUBLISHED
Date2026-07-17
UPDATED
Date2026-07-17
RISK INFORMATION (Score: 3.7)
CVSS3
Base Score: 3.7
Complexity: HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.2