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Comparison Overview

IFT Food Microbiology DivisionIFT Food Microbiology Division
VS
Coca-Cola HBCCoca-Cola HBC
IFT Food Microbiology Division

IFT Food Microbiology Division

Chicago, US

Last Update: 21/03/2026

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Join this engaged group of microbiologists to discuss all areas of food microbiology, including aspects of food technology in which bacteria, fungi, viruses, protozoa, and parasites play a role. Chair: Qing Wang Past Chair: Elizabeth Grasso-Kelly, Chair Designate: A...

NAICS:722
NAICS Definition:Food Services and Drinking Places
Employees:None
Subsidiaries:18
12-month incidents
0
Known data breaches
0
Attack type number
0
Coca-Cola HBC

Coca-Cola HBC

Turmstrasse 30, Zug, 6300, CH

Last Update: 13/07/2026

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807/1000Good

We bottle and sell the beverages of The Coca-Cola Company exclusively in our 29 markets and partner with other beverage businesses to also sell their brands. With over 100 brands covering eight categories – sparkling, water, juices, ready-to-drink tea, energy, plant-bas...

NAICS:722
NAICS Definition:Food Services and Drinking Places
Employees:21,897
Subsidiaries:0
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
IFT Food Microbiology Division

IFT Food Microbiology Division

-
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
Coca-Cola HBC

Coca-Cola HBC

-
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 Food and Beverage Services Industry Avg (This Year)

No incidents recorded for IFT Food Microbiology Division in 2026.

Incidents

Incidents vs Food and Beverage Services Industry Avg (This Year)

No incidents recorded for Coca-Cola HBC in 2026.

Incidents

Incident History - IFT Food Microbiology Division (X = Date, Y = Severity)

IFT Food Microbiology Division cyber incidents detection timeline including parent company and subsidiaries.

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

Incident History - Coca-Cola HBC (X = Date, Y = Severity)

Coca-Cola HBC 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...
IFT Food Microbiology Division

IFT Food Microbiology Division

Incidents
No explicit notable incidents reported.
Coca-Cola HBC

Coca-Cola HBC

Incidents
No explicit notable incidents reported.

FAQ

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