What is the official website of ACUNMEDYA ?

The official website of ACUNMEDYA is http://www.acunmedya.com.

What is ACUNMEDYA's cybersecurity risk score?

ACUNMEDYA has an AI-generated cybersecurity risk score of 790 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has ACUNMEDYA experienced?

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

Has ACUNMEDYA been affected by any supply chain cyber incidents ?

According to Rankiteo, ACUNMEDYA has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does ACUNMEDYA have SOC 2 Type 1 certification ?

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

Does ACUNMEDYA have SOC 2 Type 2 certification ?

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

Does ACUNMEDYA comply with GDPR ?

According to Rankiteo, ACUNMEDYA is not listed as GDPR compliant.

Does ACUNMEDYA have PCI DSS certification ?

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

Does ACUNMEDYA comply with HIPAA ?

According to Rankiteo, ACUNMEDYA is not compliant with HIPAA regulations.

Does ACUNMEDYA have ISO 27001 certification ?

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

Which industry does ACUNMEDYA operate in ?

ACUNMEDYA operates primarily in the Broadcast Media Production and Distribution industry.

How many employees does ACUNMEDYA have ?

ACUNMEDYA employs approximately 3,393 people worldwide.

Does ACUNMEDYA own any subsidiaries ?

ACUNMEDYA presently has no subsidiaries across any sectors.

How many LinkedIn followers does ACUNMEDYA have ?

ACUNMEDYA's official LinkedIn profile has approximately 1,242,650 followers.

Does ACUNMEDYA have a Crunchbase profile ?

No, ACUNMEDYA does not have a profile on Crunchbase.

Does ACUNMEDYA have a LinkedIn profile ?

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

How many cybersecurity incidents has ACUNMEDYA experienced ?

As of June 23, 2026, Rankiteo reports that ACUNMEDYA has not experienced any cybersecurity incidents.

How many peer or competitor companies does ACUNMEDYA have ?

ACUNMEDYA has an estimated 4,161 peer or competitor companies worldwide.

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ACUNMEDYA

Boost Score +25 with badge (5 left)

790

/1000

Fair

815

/1000

Good

ACUNMEDYA Vendor Cyber Rating & Cyber Score

acunmedya.com

Add Your Compliance Badge

ACUNMEDYA, established in 2004 by creative force, entertainment and sports enthusiast, digital platform owner and operator Acun Ilıcalı, is a leading international production company and broadcasting group, producing worldwide formats including Come Dine with Me, Deal or No deal, Got Talent, My Man Can, My Style Rocks, Power of Love, Survivor, MasterChef, The Voice, and The Voice Kids. ACUNMEDYA at present, in addition to producing daytime and primetime content in Europe, South and North America, produces its own sports-reality format EXATLON in Mexico, US Hispanic, Hungary, Slovenia, Romania and Colombia. ACUNMEDYA produces more than 5000 hours of primetime broadcast television each year across the world. ACUNMEDYA also operates two

ACUNMEDYA A.I CyberSecurity Scoring

Scoring History

ACUNMEDYA

ACUNMEDYA CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

No data available

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A.I.

ACUNMEDYA 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 ACUNMEDYA

Incidents vs Broadcast Media Production and Distribution Industry Avg (This Year)

No incidents recorded for ACUNMEDYA in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for ACUNMEDYA in 2026.

Incident Types ACUNMEDYA vs Broadcast Media Production and Distribution Industry Avg (This Year)

No incidents recorded for ACUNMEDYA in 2026.

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

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SUBSIDIARY

ACUNMEDYA Subsidiaries

ACUNMEDYA

Broadcast Media Production and Distribution

Website: http://www.acunmedya.com

Company Size: 3,393

TV8Broadcast Media Production and Distribution

Acunmedya AkademiYüksek Öğrenim

Hull CitySpectator Sports

EXXENEntertainment Providers

Kappa & Superga TürkiyeSporting Goods Manufacturing

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NEWS

ACUNMEDYA 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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