What is the official website of Startup Company ?

The official website of Startup Company is http://www.growthwheel.com.

What is Startup Company's cybersecurity risk score?

Startup Company has an AI-generated cybersecurity risk score of 752 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Startup Company experienced?

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

Has Startup Company been affected by any supply chain cyber incidents ?

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

Does Startup Company have SOC 2 Type 1 certification ?

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

Does Startup Company have SOC 2 Type 2 certification ?

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

Does Startup Company comply with GDPR ?

According to Rankiteo, Startup Company is not listed as GDPR compliant.

Does Startup Company have PCI DSS certification ?

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

Does Startup Company comply with HIPAA ?

According to Rankiteo, Startup Company is not compliant with HIPAA regulations.

Does Startup Company have ISO 27001 certification ?

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

Which industry does Startup Company operate in ?

Startup Company operates primarily in the Business Consulting and Services industry.

How many employees does Startup Company have ?

Startup Company employs approximately 282 people worldwide.

Does Startup Company own any subsidiaries ?

Startup Company presently has no subsidiaries across any sectors.

How many LinkedIn followers does Startup Company have ?

Startup Company's official LinkedIn profile has approximately 8,941 followers.

What is the NAICS classification code for Startup Company ?

Startup Company is classified under the NAICS code 5416, which corresponds to Management, Scientific, and Technical Consulting Services.

Does Startup Company have a Crunchbase profile ?

No, Startup Company does not have a profile on Crunchbase.

Does Startup Company have a LinkedIn profile ?

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

How many cybersecurity incidents has Startup Company experienced ?

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

How many peer or competitor companies does Startup Company have ?

Startup Company has an estimated 19,479 peer or competitor companies worldwide.

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Startup Company

Boost Score +25 with badge (5 left)

752

/1000

Fair

777

/1000

Fair

Startup Company Vendor Cyber Rating & Cyber Score

growthwheel.com

Add Your Compliance Badge

We help entrepreneurs realize their business dreams. With our methodology, which is an alternative to the conventional business plan, we assist our clients in making decisions and taking action. Our clients range from early start-ups to growth companies which we serve from our offices in Copenhagen and New York City.

Startup Company A.I CyberSecurity Scoring

Scoring History

Startup Company

Startup Company CyberSecurity News & History

Past Incidents

Attack Types

Entity

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Impact

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Blog Details

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Incident Details

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No data available

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A.I.

Startup Company 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 Startup Company

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

No incidents recorded for Startup Company in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Startup Company in 2026.

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

No incidents recorded for Startup Company in 2026.

Incident History - Startup Company (X = Date, Y = Severity)

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SUBSIDIARY

Startup Company Subsidiaries

Parent Company

Startup Company

Business Consulting and Services

Website: http://www.growthwheel.com

Company Size: 282

No subsidiary data available for this company.

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NEWS

Startup Company CyberSecurity News

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

March 26, 2026 12:18 PM

Top 20 India’s Fastest Growing Cybersecurity Startups

Behind every secure digital platform, protected enterprise system, and resilient online experience stands a new wave of cybersecurity...

Read Article

March 26, 2026 11:38 AM

External Attack Surface Management And Why It Matters For Startups

Startups face heightened cyber risks as they scale quickly, adopt cloud technologies and often overlook what is exposed to the internet.

Read Article

March 26, 2026 01:47 AM

CrossHub Signs a Security Solutions Supply Contract With the Dutch Government Worth 800 Million KRW at RSA Conference 2026

CrossHub, a company specializing in AI-based cybersecurity solutions, said it participated in the world's largest information security...

Read Article

March 25, 2026 06:41 PM

CrowdStrike and AWS Announce Jazz as the Winner of the 2026 Cybersecurity Startup Accelerator, Supported by NVIDIA Inception

AUSTIN, Texas & SAN FRANCISCO, March 25, 2026--(BUSINESS WIRE)--RSA 2026 – CrowdStrike (NASDAQ: CRWD) today announced Jazz as the winner of...

Read Article

March 25, 2026 05:42 PM

IPO Prospect Databricks Buys Two Startups to Power New AI Security Platform

Databricks, a leading data and AI company, has acquired two cybersecurity startups, Antimatter and SiftD.ai, to underpin the launch of its...

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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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