Has Imperial Executive Education | Venture Capital: Master Startup Funding been affected by any supply chain cyber incidents ?

According to Rankiteo, Imperial Executive Education | Venture Capital: Master Startup Funding has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

How many LinkedIn followers does Imperial Executive Education | Venture Capital: Master Startup Funding have ?

Imperial Executive Education | Venture Capital: Master Startup Funding's official LinkedIn profile has approximately followers.

What is the NAICS classification code for Imperial Executive Education | Venture Capital: Master Startup Funding ?

Imperial Executive Education | Venture Capital: Master Startup Funding is classified under the NAICS code 6113, which corresponds to Colleges, Universities, and Professional Schools.

How many peer or competitor companies does Imperial Executive Education | Venture Capital: Master Startup Funding have ?

Imperial Executive Education | Venture Capital: Master Startup Funding has an estimated 17,104 peer or competitor companies worldwide.

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IEEVCMSF

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787

/1000

Fair

812

/1000

Good

Imperial Executive Education | Venture Capital: Master Startup Funding Vendor Cyber Rating & Cyber Score

emrt.us

Add Your Compliance Badge

Venture capital (VC) markets act as a catalyst for innovation, providing funding for new businesses aiming to address various issues. VC is now considered a desirable asset class for investors, with VC fundraising being the most robust within the private equity sector. Regardless of your role in the VC industry – whether as a founder, investor or support provider – it's crucial to be well-prepared. The Venture Capital: Master Startup Funding programme from Imperial College Business School Executive Education is a seven-week programme that is designed to delve into the intricacies of venture capital. This online programme allows you to gain a strong understanding of the terminology, procedures, key performance indicators and tactics

IEEVCMSF A.I CyberSecurity Scoring

Scoring History

IEEVCMSF

Imperial Executive Education | Venture Capital: Master Startup Funding CyberSecurity News & History

Past Incidents

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Entity

Type

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Impact

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Blog Details

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A.I.

IEEVCMSF 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

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Underwriter Stats for IEEVCMSF

Incidents vs Higher Education Industry Avg (This Year)

No incidents recorded for Imperial Executive Education | Venture Capital: Master Startup Funding in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Imperial Executive Education | Venture Capital: Master Startup Funding in 2026.

Incident Types IEEVCMSF vs Higher Education Industry Avg (This Year)

No incidents recorded for Imperial Executive Education | Venture Capital: Master Startup Funding in 2026.

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

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SUBSIDIARY

Imperial Executive Education | Venture Capital: Master Startup Funding Subsidiaries

IEEVCMSF

Higher Education

Website: https://emrt.us/IMP-VECA-LI-AU

Company Size: 201-500 employees

178

EmeritusHigher Education

Wharton Executive Education | CHRO ProgramHigher Education

MIT xPRO | AI and Cybersecurity: Strategies for Resilience and DefenseHigher Education

Kellogg Executive Education | C-Suite Program in AI and Digital TransformationHigher Education

Berkeley | Executive Program in Digital Transformation and AIHigher Education

MIT Sloan | Applied Business AnalyticsHigher Education

Wharton Executive Education | Product Management and StrategyEducation

MIT xPRO | Technology and Innovation Acceleration ProgramHigher Education

Wharton Executive Education | Global Supply Chain Management ProgramEducation

Professional Certificate in Data Engineering program from MIT xPROE-Learning Providers

Kellogg Executive Education | Emerging C-Suite Leaders ProgramHigher Education

Kellogg Executive Education | Advertising and Marketing Communication StrategyHigher Education

Cambridge Judge Business School | Innovation and IntrapreneurshipHigher Education

MIT xPRO | AI for Senior ExecutivesHigher Education

Texas Executive Education | Sustainability Leadership ProgramHigher Education

UWA Global MBA with Sasin CertificationHigher Education

MIT xPRO's Global Manufacturing Leadership ProgramHigher Education

Rotman | Healthcare Analytics: AI, Big Data & Digital TransformationHigher Education

Imperial College Executive Education | Emerging CTO ProgrammeHigher Education

Kellogg Executive Education | Data Strategy for Generative AI PlatformsHigher Education

Imperial College Executive Education | Emerging CEO ProgrammeHigher Education

Emory Executive Education | Healthcare Leadership Program for ExecutivesHigher Education

MIT xPRO | Internet of Things (IoT): Design and Applications ProgramHigher Education

MIT xPRO | Senior Executive Program for Technology LeadersHigher Education

Wharton Executive Education | Strategic Operations Management ProgramHigher Education

Berkeley | Chief Operating Officer (COO) ProgramHigher Education

Emory Executive Education | Advanced Management Program in HealthcareHigher Education

Berkeley | Business Analytics for LeadersHigher Education

Wharton Executive Education | Understanding the BrainHigher Education

Imperial College Executive Education | Emerging CFO ProgrammeHigher Education

Emory Executive Education | Executive Decision Making for Healthcare LeadersHigher Education

MIT Sloan | Mastering Design ThinkingHigher Education

Wharton Executive Education | CTO ProgramHigher Education

Kellogg Executive Education | Chief Marketing Officer ProgramHigher Education

Wharton Executive Education | Global C-Suite ProgramHigher Education

MIT xPRO | Chief Operating Officer (COO) ProgramHigher Education

Wharton Executive Education | Management Development ProgramHigher Education

Cambridge Judge Business School | Business Analytics and AI: Decision-Making Using DataHigher Education

Innovation of Products and Services by EMERITUSHigher Education

Texas Executive Education | Executive Program for Energy LeadersHigher Education

Wharton Executive Education | Executive Presence and Influence: Persuasive Leadership DevelopmentHigher Education

Kellogg Executive Education | Chief Product Officer ProgramHigher Education

Wharton Executive Education | Digital Transformation for Senior Executives ProgramHigher Education

Berkeley | Professional Certificate in Machine Learning and Artificial IntelligenceHigher Education

Berkeley | Artificial Intelligence: Business Strategies and ApplicationsHigher Education

Wharton Executive Education | C-Suite Leaders Program — Middle EastHigher Education

MIT xPRO | Designing and Building AI Products and ServicesHigher Education

Berkeley | Chief Executive Officer (CEO) ProgramHigher Education

Berkeley | Data Strategy: Leveraging Data as a Competitive AdvantageHigher Education

Emory Executive Education | Chief Medical Officer ProgramHigher Education

Python for Data ScienceEducation Administration Programs

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Wharton Executive Education | Platform Strategy: Build, Grow, Monetize, and Lead Digital PlatformsHigher Education

Cambridge Judge Business School | Diversity, Equity and InclusionHigher Education

Wharton Executive Education | Scaling a Business: How to Build a UnicornHigher Education

Wharton Executive Education | Revenue Analytics: Price OptimizationHigher Education

Blockchain (Online) by UC Berkeley Executive EducationE-Learning Providers

ROTMAN | Generative AI for Business: Driving Growth and Competitive AdvantageHigher Education

Kellogg - Advertising and Marketing Communication StrategyMarketing Services

Digital Transformation: Platform Strategies for SuccessHigher Education

Wharton Executive Education | Emerging COO ProgramHigher Education

MIT xPRO | Artificial Intelligence in Healthcare: Fundamentals and ApplicationsHigher Education

Berkeley | Chief Strategy Officer (CSO) ProgramHigher Education

MIT xPRO | Professional Certificate in Advanced Project ManagementHigher Education

Leading Organizations & ChangeHigher Education

Johns Hopkins Carey Business School | Strategic Healthcare Leadership ProgramHigher Education

Berkeley | Emerging Tech Strategies: Harnessing AI, IoT, Web3, and BeyondHigher Education

Wharton Executive Education | C-Suite Leaders Program — IndiaHigher Education

Kellogg Executive Education | Design Thinking: A Toolkit for Breakthrough InnovationHigher Education

Emory Executive Education | Nursing Leadership CertificateHigher Education

Emeritus - AI and Machine Learning for EveryoneE-Learning Providers

Cybersecurity: Identity and Access Management by MIT xPROE-learning

Board Director Program from Michigan Ross Executive EducationHigher Education

IIMK Professional Certificate Programme in Public Policy ManagementHigher Education

Imperial Executive Education | Sustainable Finance and Investing: Unlock Global InvestmentHigher Education

Product Innovation in Emerging TechnologiesE-Learning Providers

Kellogg Executive Education | Leading With Behavioral ScienceHigher Education

Cambridge Judge Business School | Digital Transformation: From Strategy to ExecutionHigher Education

Rotman | Sustainability Leadership: Innovation for GrowthHigher Education

Kellogg Executive Education | AI Strategies for Business TransformationHigher Education

MIT xPRO | Robotics EssentialsHigher Education

Cambridge Judge Business School | Steering Complex ProjectsHigher Education

Wharton Executive Education | Behavioral Economics: Consumer Choice and Decision MakingHigher Education

MIT Sloan | Leading Organizations for High-Velocity PerformanceHigher Education

Wharton Executive Education | Business Acumen for ExecutivesHigher Education

Kellogg Executive Education | Strategic Communication for LeadersHigher Education

MIT xPRO | Professional Certificate in CybersecurityHigher Education

Accelerating and Sustaining Safety and Quality in Healthcare - Cleveland ClinicE-learning

MIT Professional Certificate in CodingHigher Education

Michigan Engineering | Leadership Development Program in ManufacturingHigher Education

Wharton Executive Education | Leading and Managing High-Impact TeamsHigher Education

Rotman | Building Financial Acumen for Non-Financial ManagersHigher Education

Kellogg Executive Education | Advanced Certificate in AI and Product StrategyHigher Education

USC Marshall Executive Education | Global Sports Management and Leadership ProgramHigher Education

Wharton Executive Education | Driving Strategic Innovation: Leading Complex Initiatives for ImpactHigher Education

Kellogg-Business Leadership in the Age of DisruptionHigher Education

MIT xPRO | AI Strategy and Product InnovationHigher Education

Wharton Executive Education | Emerging CPO ProgramHigher Education

Michigan Engineering | Construction Project ManagementHigher Education

Michigan Engineering | Leadership Development Program in Supply ChainHigher Education

Cambridge Judge Business School | Mastering Change ManagementHigher Education

Michigan Ross | Michigan Engineering Pro-Ed | CDAIO ProgramHigher Education

Wharton Executive Education | Emerging CFO ProgramHigher Education

London Business School | Mastering Digital Marketing in an AI WorldEducation Administration Programs

Kellogg Executive Education | Customer Loyalty: Strategy and ApplicationHigher Education

Rotman MBA EssentialsE-Learning Providers

UX Design & Strategy for Emerging TechnologiesEducation Administration Programs

Post Graduate Certificate in Cybersecurity from MIT xPROE-Learning Providers

Foundations of UX and XR Design programE-Learning Providers

Berkeley | Fintech: Frameworks, Applications, and StrategiesHigher Education

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NEWS

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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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