What is the official website of KFC Tunisia ?

The official website of KFC Tunisia is https://www.kfc.com.tn.

What is KFC Tunisia's cybersecurity risk score?

KFC Tunisia has an AI-generated cybersecurity risk score of 761 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has KFC Tunisia experienced?

According to Rankiteo, KFC Tunisia currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has KFC Tunisia been affected by any supply chain cyber incidents ?

According to Rankiteo, KFC Tunisia has been affected by multiple supply chain cyber incidents. The affected supply chain sources and their corresponding incident IDs are: foh&boh (Incident ID: NORKFCFOHTACHYA1769001351) foh&boh (Incident ID: FOHKFCNORHYAOMN1769001235)

Does KFC Tunisia have SOC 2 Type 1 certification ?

According to Rankiteo, KFC Tunisia is not certified under SOC 2 Type 1.

Does KFC Tunisia have SOC 2 Type 2 certification ?

According to Rankiteo, KFC Tunisia does not hold a SOC 2 Type 2 certification.

Does KFC Tunisia comply with GDPR ?

According to Rankiteo, KFC Tunisia is not listed as GDPR compliant.

Does KFC Tunisia have PCI DSS certification ?

According to Rankiteo, KFC Tunisia does not currently maintain PCI DSS compliance.

Does KFC Tunisia comply with HIPAA ?

According to Rankiteo, KFC Tunisia is not compliant with HIPAA regulations.

Does KFC Tunisia have ISO 27001 certification ?

According to Rankiteo,KFC Tunisia is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does KFC Tunisia operate in ?

KFC Tunisia operates primarily in the Restaurants industry.

How many employees does KFC Tunisia have ?

KFC Tunisia employs approximately 75 people worldwide.

Does KFC Tunisia own any subsidiaries ?

KFC Tunisia presently has no subsidiaries across any sectors.

How many LinkedIn followers does KFC Tunisia have ?

KFC Tunisia's official LinkedIn profile has approximately 2,238 followers.

What is the NAICS classification code for KFC Tunisia ?

KFC Tunisia is classified under the NAICS code 7225, which corresponds to Restaurants and Other Eating Places.

Does KFC Tunisia have a Crunchbase profile ?

No, KFC Tunisia does not have a profile on Crunchbase.

Does KFC Tunisia have a LinkedIn profile ?

Yes, KFC Tunisia maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/kfc-tunisia.

How many cybersecurity incidents has KFC Tunisia experienced ?

As of June 23, 2026, Rankiteo reports that KFC Tunisia has experienced 6 cybersecurity incidents.

How many peer or competitor companies does KFC Tunisia have ?

KFC Tunisia has an estimated 4,974 peer or competitor companies worldwide.

What types of cybersecurity incidents has KFC Tunisia faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach and Ransomware.

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KFC Tunisia

Boost Score +25 with badge (5 left)

761

/1000

Fair

786

/1000

Fair

KFC Tunisia Vendor Cyber Rating & Cyber Score

kfc.com.tn

Add Your Compliance Badge

KFC Tunisia A.I CyberSecurity Scoring

Scoring History

KFC Tunisia

KFC Tunisia CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Yum! Brands

Ransomware

100

2/2026

YUM1771972326

KFC

Breach

2/2025

foh&boh

NORKFCFOHTACHYA...

KFC

Breach

2/2025

foh&boh

FOHKFCNORHYAOMN...

KFC Tunisia

Breach

04/2023

YUM33429523

KFC Tunisia

Ransomware

100

1/2023

YUM407072625

KFC Tunisia

Breach

10/2017

PIZ857072725

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A.I.

KFC Tunisia Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for KFC Tunisia

Incidents vs Restaurants Industry Avg (This Year)

No incidents recorded for KFC Tunisia in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for KFC Tunisia in 2026.

Incident Types KFC Tunisia vs Restaurants Industry Avg (This Year)

No incidents recorded for KFC Tunisia in 2026.

Incident History - KFC Tunisia (X = Date, Y = Severity)

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SUBSIDIARY

KFC Tunisia Subsidiaries

KFC Tunisia

Restaurants

Website: https://www.kfc.com.tn

Company Size: 201-500 employees

KFCRestaurants

Yum! BrandsRestaurants

Pizza HutRestaurants

Taco BellRestaurants

Taco Bell FoundationNon-profit Organizations

Taco Bell ONEUROPE (UK & Europe)Restaurants

Dragontail SystemsTechnology, Information and Internet

Kvantum by Yum!Advertising Services

KFC USRestaurants

KFC PakistanRestaurants

KFC UK & IrelandFood & Beverages

KFC South Pacific (Yum! Brands Subsidiary)Restaurants

KFC IndiaFood and Beverage Services

KFC (SG) Pte LtdFood & Beverages

KFC ItaliaRestaurants

KFC GermanyRestaurants

Transcom Foods LimitedRestaurants

FOOD PLUS S.A.Food and Beverage Services

KFC GREECERestaurants

KFC ZimbabweFood & Beverages

KFC PerúRestaurants

Kampuchea Food Corporation Co., Ltd. (KFC Cambodia)Food and Beverage Services

McKenzie Foods, Inc.Restaurants

Hi-Flyer Food (Canada) Inc.Food and Beverage Services

Devyani International (Nigeria) Ltd.Food and Beverage Services

KFC NederlandHospitality

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KFC Tunisia Similar Companies

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Somos um grande ecossistema de restaurantes que reúne marcas internacionais como Burger King®, Popeyes®, Starbucks® e Subway®. E, por trás de cada receita de sucesso, estão os Zampers: gente que faz acontecer, que joga junto e que deixa sua marca todos os dias. Aqui, a gente acredita que o verdadeiro sabor do sucesso é ter espaço pra criar, crescer, liderar e ser quem você é. Usamos tecnologia, inovação e muita parceria para entregar experiências que surpreendem nossos clientes e geram oportunidades para o nosso time. Temos apetite pelo futuro e ousadia para conquistar novos mercados, novos sabores e novas conexões. Porque grandes marcas só existem quando grandes pessoas constroem algo maior do que elas mesmas. Isso é a Zamp®: um ecossistema de restaurantes e pessoas em constante evolução.

Whataburger

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On Aug. 8, 1950, an adventurous and determined entrepreneur named Harmon Dobson opened up the world’s first Whataburger on Ayers Street in Corpus Christi, Texas. He had a simple goal: to serve a burger so big it took two hands to hold and so good that after one bite customers would say, “What a burger!” He succeeded on both counts and turned that one little burger stand into a legend loved throughout Texas and the South. Today, each and every Whataburger is made to order, right when it’s ordered. And they’re still made with 100 percent pure, never-frozen beef and served on a big toasted five-inch bun with all “the extras” to suit your taste. Grilled jalapeños, extra bacon, three slices of cheese, no tomatoes, extra pickles? No problem. Your Whataburger will be made just like you like it, 24 hours a day, seven days a week. Whataburger’s following has grown exponentially in its more than 75-year history, thanks to a number of features, including its famous burgers and growing list of menu items, its iconic orange-and-white-striped restaurants and its famous Fancy Ketchup. Whataburger is more than a burger chain. It’s a place that feels like home to more than 51,000 employees, called Family Members, and millions of customers. It’s a brand built on pride, care and love. It’s a place people count on in their communities. It’s a place where goodness lives. So now with more than 1,100 Whataburger restaurants across 16 states stretching from Las Vegas to the Carolinas, road-trippers and hometown folks alike continue gathering under the big orange-and-white roofs for fresh, made-to-order burgers and friendly service.

Pizza Hut

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Chili's

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GRSA

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NEWS

KFC Tunisia CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-54236

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 5.3)

cvss3

Base Score: 5.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Impact Score

1.4

Exploitability

3.9

REFERENCES

CVE-2026-54235

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: )

cvss4

Base Score: 6.9

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

Exploitability

REFERENCES

CVE-2026-54233

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

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

REFERENCES

CVE-2026-54232

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 8.8)

cvss3

Base Score: 8.8

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Impact Score

5.9

Exploitability

2.8

REFERENCES

https://github.com/vllm-project/vllm/security/advisories/GHSA-jrf6-vqxq-pjv2

CVE-2026-53923

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: )

cvss4

Base Score: 5.3

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

Exploitability

REFERENCES

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