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

The official website of Clear M&C Saatchi is http://www.clearstrategy.com.

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

Clear M&C Saatchi has an AI-generated cybersecurity risk score of 755 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

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

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

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

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

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

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

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

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

Does Clear M&C Saatchi comply with GDPR ?

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

Does Clear M&C Saatchi have PCI DSS certification ?

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

Does Clear M&C Saatchi comply with HIPAA ?

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

Does Clear M&C Saatchi have ISO 27001 certification ?

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

Which industry does Clear M&C Saatchi operate in ?

Clear M&C Saatchi operates primarily in the Business Consulting and Services industry.

How many employees does Clear M&C Saatchi have ?

Clear M&C Saatchi employs approximately 0 people worldwide.

Does Clear M&C Saatchi own any subsidiaries ?

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

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

Clear M&C Saatchi's official LinkedIn profile has approximately 10,888 followers.

Does Clear M&C Saatchi have a Crunchbase profile ?

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

Does Clear M&C Saatchi have a LinkedIn profile ?

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

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

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

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

Clear M&C Saatchi has an estimated 19,477 peer or competitor companies worldwide.

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755

/1000

Fair

780

/1000

Fair

Clear M&C Saatchi Vendor Cyber Rating & Cyber Score

clearstrategy.com

Add Your Compliance Badge

Clear M&C Saatchi is a global growth strategy consultancy that clients trust to solve their most complex challenges. We believe that growth exists at the intersection of brand, experience and innovation, and we use clarity to unlock advantage for the world’s biggest brands. Our team is based in London, New York, Dayton, Dallas and Singapore. Clear is a division of M&C Saatchi plc (SAA:LSE), the world’s leading independent marketing services group.

CMS A.I CyberSecurity Scoring

Scoring History

CMS

Clear M&C Saatchi CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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A.I.

CMS 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 CMS

Incidents vs Business Consulting and Services Industry Avg (This Year)

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

Incidents vs All-Companies Average (This Year)

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

Incident Types CMS vs Business Consulting and Services Industry Avg (This Year)

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

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

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SUBSIDIARY

Clear M&C Saatchi Subsidiaries

CMS

Business Consulting and Services

Website: http://www.clearstrategy.com

Company Size: 0

M&C Saatchi GroupAdvertising Services

M&C Saatchi Group AUNZAdvertising Services

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

Bohemia GroupAdvertising Services

M&C Saatchi Sport & Entertainment, AustraliaAdvertising Services

Yes AgencyAdvertising Services

M&C Saatchi FebruaryAdvertising Services

SS+KAdvertising Services

M&C Saatchi UAEAdvertising Services

M+C Saatchi SpainAdvertising Services

M&C Saatchi Sport & Entertainment LondonAdvertising Services

Santa Clara - Agência & Consultoria de ComunicaçãoAdvertising 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

ConnectAdvertising Services

M&CSAATCHI IstanbulAdvertising Services

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

M&C Saatchi CHINAAdvertising Services

M&C SAATCHI.GADAdvertising Services

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NEWS

Clear M&C Saatchi 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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