What is the official website of iProspect ?

The official website of iProspect is http://www.iprospect.com.

What is iProspect's cybersecurity risk score?

iProspect has an AI-generated cybersecurity risk score of 766 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has iProspect experienced?

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

Has iProspect been affected by any supply chain cyber incidents ?

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

Does iProspect have SOC 2 Type 1 certification ?

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

Does iProspect have SOC 2 Type 2 certification ?

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

Does iProspect comply with GDPR ?

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

Does iProspect have PCI DSS certification ?

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

Does iProspect comply with HIPAA ?

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

Does iProspect have ISO 27001 certification ?

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

Which industry does iProspect operate in ?

iProspect operates primarily in the Advertising Services industry.

How many employees does iProspect have ?

iProspect employs approximately 2,381 people worldwide.

Does iProspect own any subsidiaries ?

iProspect presently has no subsidiaries across any sectors.

How many LinkedIn followers does iProspect have ?

iProspect's official LinkedIn profile has approximately 209,919 followers.

What is the NAICS classification code for iProspect ?

iProspect is classified under the NAICS code 541613, which corresponds to Marketing Consulting Services.

Does iProspect have a Crunchbase profile ?

No, iProspect does not have a profile on Crunchbase.

Does iProspect have a LinkedIn profile ?

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

How many cybersecurity incidents has iProspect experienced ?

As of June 23, 2026, Rankiteo reports that iProspect has experienced 5 cybersecurity incidents.

How many peer or competitor companies does iProspect have ?

iProspect has an estimated 33,302 peer or competitor companies worldwide.

What types of cybersecurity incidents has iProspect faced ?

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

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766

/1000

Fair

791

/1000

Fair

iProspect Vendor Cyber Rating & Cyber Score

iprospect.com

Add Your Compliance Badge

iProspect, a dentsu company, is a leading global digital-first media agency. In the unbounded world, the future belongs to brands who are prepared to shape it. iProspect’s unmatched mix of media strategy, digital storytelling, and specialized audience insight sets a new standard for performance-driven brand building. Marketers are now expected to be the architects of transformative experiences, and through a relentless focus on human-centric solutions, iProspect drives accelerated growth for some of the world's most iconic brands, including Kering, Carlsberg, Ikea, Hilton, L'Oréal, Pandora, Hugo Boss, Red Bull, LinkedIn, and Tencent. With a dedicated team of more than 8,000 media and performance experts across 93 global markets,

iProspect A.I CyberSecurity Scoring

Scoring History

iProspect

iProspect CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

iProspect

Cyber Attack

11/2025

MER474114711262...

iProspect

Cyber Attack

10/2025

MER333213310302...

iProspect

Breach

10/2025

DEN149211411022...

Merkle

Breach

8/2025

MER1770415139

iProspect

Breach

5/2025

DEN096260911212...

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A.I.

iProspect 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 iProspect

Incidents vs Advertising Services Industry Avg (This Year)

No incidents recorded for iProspect in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for iProspect in 2026.

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

No incidents recorded for iProspect in 2026.

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

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SUBSIDIARY

iProspect Subsidiaries

iProspect

Advertising Services

Website: http://www.iprospect.com

Company Size: 5,001-10,000 employees

iProspect ZAAdvertising Services

dentsuAdvertising Services

CaratAdvertising Services

MerkleBusiness Consulting and Services

Dentsu CreativeAdvertising Services

IsobarAdvertising Services

Dentsu Creative USAdvertising Services

NBSAdvertising Services

PontomobiAdvertising Services

LOVAdvertising Services

FirstbornAdvertising Services

Dentsu Creative EdinburghAdvertising Services

Dentsu CréationAdvertising Services

dentsu mcgarrybowen UKAdvertising Services

MitchellPublic Relations and Communications Services

re:productionAdvertising Services

dentsu XAdvertising Services

VizeumAdvertising Services

ICUCMarketing Services

dentsu FinlandAdvertising Services

psLIVEAdvertising Services

psLIVE FranceAdvertising Services

Dentsu X DanmarkAdvertising Services

Carat CanadaAdvertising Services

FetchAdvertising Services

Carat Media ServicesAdvertising Services

MKTGAdvertising Services

MKTG Sports & Entertainment CanadaAdvertising Services

Videobeat Networks GmbHAdvertising Services

Carat FinlandAdvertising Services

Carat ChinaAdvertising Services

Carat SverigeAdvertising Services

MKTG ServicesAdvertising Services

dentsu SSAAdvertising Services

NaveggTechnology, Information and Internet

Amnet GroupAdvertising Services

Cosin ConsultingBusiness Consulting and Services

dentsu BeneluxAdvertising Services

Carat UKAdvertising Services

Mktg, IncMarket Research

PosterscopeAdvertising Services

Team Epic, an MKTG AgencyAdvertising Services

Carat AustraliaAdvertising Services

iProspect AustraliaAdvertising Services

Carat DenmarkAdvertising Services

dentsu IsraelTechnology, Information and Internet

iProspect GmbHAdvertising Services

Flexmedia GroupAdvertising Services

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$TBWA\Worldwide$

TBWA\Worldwide

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NEWS

iProspect CyberSecurity News

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

November 11, 2025 08:00 AM

Digitas and Dentsu X notch gains as Initiative holds lead in November US rankings

iProspect and Hearts & Science join the agency table.. From Campaign US.

Read Article

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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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