What is the official website of M&C Saatchi UAE ?

The official website of M&C Saatchi UAE is http://mcsaatchi.ae.

What is M&C Saatchi UAE's cybersecurity risk score?

M&C Saatchi UAE has an AI-generated cybersecurity risk score of 750 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has M&C Saatchi UAE experienced?

According to Rankiteo, M&C Saatchi UAE currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has M&C Saatchi UAE been affected by any supply chain cyber incidents ?

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

Does M&C Saatchi UAE have SOC 2 Type 1 certification ?

According to Rankiteo, M&C Saatchi UAE is not certified under SOC 2 Type 1.

Does M&C Saatchi UAE have SOC 2 Type 2 certification ?

According to Rankiteo, M&C Saatchi UAE does not hold a SOC 2 Type 2 certification.

Does M&C Saatchi UAE comply with GDPR ?

According to Rankiteo, M&C Saatchi UAE is not listed as GDPR compliant.

Does M&C Saatchi UAE have PCI DSS certification ?

According to Rankiteo, M&C Saatchi UAE does not currently maintain PCI DSS compliance.

Does M&C Saatchi UAE comply with HIPAA ?

According to Rankiteo, M&C Saatchi UAE is not compliant with HIPAA regulations.

Does M&C Saatchi UAE have ISO 27001 certification ?

According to Rankiteo,M&C Saatchi UAE is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does M&C Saatchi UAE operate in ?

M&C Saatchi UAE operates primarily in the Advertising Services industry.

How many employees does M&C Saatchi UAE have ?

M&C Saatchi UAE employs approximately 83 people worldwide.

Does M&C Saatchi UAE own any subsidiaries ?

M&C Saatchi UAE presently has no subsidiaries across any sectors.

How many LinkedIn followers does M&C Saatchi UAE have ?

M&C Saatchi UAE's official LinkedIn profile has approximately 5,475 followers.

Does M&C Saatchi UAE have a Crunchbase profile ?

No, M&C Saatchi UAE does not have a profile on Crunchbase.

Does M&C Saatchi UAE have a LinkedIn profile ?

Yes, M&C Saatchi UAE maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/mcsaatchiuae.

How many cybersecurity incidents has M&C Saatchi UAE experienced ?

As of June 23, 2026, Rankiteo reports that M&C Saatchi UAE has not experienced any cybersecurity incidents.

How many peer or competitor companies does M&C Saatchi UAE have ?

M&C Saatchi UAE has an estimated 33,302 peer or competitor companies worldwide.

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MSU

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750

/1000

Fair

775

/1000

Fair

M&C Saatchi UAE Vendor Cyber Rating & Cyber Score

mcsaatchi.ae

Add Your Compliance Badge

We were born out of the need for strategic and brutally effective creativity in the region. With every successful campaign, we have grown, and cherry-picked the best professionals to work with us from all over the region and the world. Our expanding list of clients include Abu Dhabi Tourism & Culture Authority, Mashreq Bank, Shell, Lipton and Etihad Airways. We have been Etihad’s Creative Agency of Record since 2012, responsible for their global brand campaigns including 'Flying Reimagined'. If your brand wants to make an impact, give us a call +971 (0)2 234 4588 or email [email protected]. A DIFFERENT KIND OF NETWORK In 1995, Maurice & Charles Saatchi set out to create a different kind of Network. One that gave the local

MSU A.I CyberSecurity Scoring

Scoring History

MSU

M&C Saatchi UAE CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

MSU 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 MSU

Incidents vs Advertising Services Industry Avg (This Year)

No incidents recorded for M&C Saatchi UAE in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for M&C Saatchi UAE in 2026.

Incident Types MSU vs Advertising Services Industry Avg (This Year)

No incidents recorded for M&C Saatchi UAE in 2026.

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

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SUBSIDIARY

M&C Saatchi UAE Subsidiaries

MSU

Advertising Services

Website: http://mcsaatchi.ae

Company Size: 83

M&C Saatchi GroupAdvertising Services

M&C Saatchi Group AUNZAdvertising Services

Yes AgencyAdvertising Services

Re (part of M+C Saatchi Consulting)Design Services

Bohemia GroupAdvertising Services

M&C Saatchi Sport & Entertainment, AustraliaAdvertising Services

M&C Saatchi Sport & Entertainment LondonAdvertising Services

M&C Saatchi FebruaryAdvertising Services

SS+KAdvertising Services

M+C Saatchi SpainAdvertising Services

M&C SAATCHI.GADAdvertising Services

M&C Saatchi TalkPublic Relations and Communications Services

M+C Saatchi Group MalaysiaAdvertising Services

F&Q BrasilAdvertising Services

M+C Saatchi TalentEntertainment Providers

M&C Saatchi StockholmAdvertising Services

GO Agence CréativeAdvertising Services

Clear M&C SaatchiBusiness Consulting and Services

Santa Clara - Agência & Consultoria de ComunicaçãoAdvertising Services

M&C Saatchi CHINAAdvertising Services

M&CSAATCHI IstanbulAdvertising Services

M&C Saatchi Sport & Entertainment LAPublic Relations and Communications Services

ConnectAdvertising Services

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NEWS

M&C Saatchi UAE 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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