What is the official website of 4Life Research ?

The official website of 4Life Research is http://www.4life.com.

What is 4Life Research's cybersecurity risk score?

4Life Research has an AI-generated cybersecurity risk score of 777 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has 4Life Research experienced?

According to Rankiteo, 4Life Research currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has 4Life Research been affected by any supply chain cyber incidents ?

According to Rankiteo, 4Life Research has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does 4Life Research have SOC 2 Type 1 certification ?

According to Rankiteo, 4Life Research is not certified under SOC 2 Type 1.

Does 4Life Research have SOC 2 Type 2 certification ?

According to Rankiteo, 4Life Research does not hold a SOC 2 Type 2 certification.

Does 4Life Research comply with GDPR ?

According to Rankiteo, 4Life Research is not listed as GDPR compliant.

Does 4Life Research have PCI DSS certification ?

According to Rankiteo, 4Life Research does not currently maintain PCI DSS compliance.

Does 4Life Research comply with HIPAA ?

According to Rankiteo, 4Life Research is not compliant with HIPAA regulations.

Does 4Life Research have ISO 27001 certification ?

According to Rankiteo,4Life Research is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does 4Life Research operate in ?

4Life Research operates primarily in the Wellness and Fitness Services industry.

How many employees does 4Life Research have ?

4Life Research employs approximately 5,501 people worldwide.

Does 4Life Research own any subsidiaries ?

4Life Research presently has no subsidiaries across any sectors.

How many LinkedIn followers does 4Life Research have ?

4Life Research's official LinkedIn profile has approximately 20,802 followers.

What is the NAICS classification code for 4Life Research ?

4Life Research is classified under the NAICS code 71394, which corresponds to Fitness and Recreational Sports Centers.

Does 4Life Research have a Crunchbase profile ?

No, 4Life Research does not have a profile on Crunchbase.

Does 4Life Research have a LinkedIn profile ?

Yes, 4Life Research maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/4life-research.

How many cybersecurity incidents has 4Life Research experienced ?

As of June 23, 2026, Rankiteo reports that 4Life Research has not experienced any cybersecurity incidents.

How many peer or competitor companies does 4Life Research have ?

4Life Research has an estimated 12,347 peer or competitor companies worldwide.

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4Life Research

Boost Score +25 with badge (5 left)

777

/1000

Fair

802

/1000

Good

4Life Research Vendor Cyber Rating & Cyber Score

4life.com

Add Your Compliance Badge

We Are The Immune System Company™ In 1998, Founders David and Bianca Lisonbee embarked on a journey to bring 4Life Transfer Factor® products to the world. Everything we do at 4Life is guided by our 4 Values: Science, Success, Service, and Satisfaction.

4Life Research A.I CyberSecurity Scoring

Scoring History

4Life Research

4Life Research CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

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A.I.

4Life Research 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 4Life Research

Incidents vs Wellness and Fitness Services Industry Avg (This Year)

No incidents recorded for 4Life Research in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for 4Life Research in 2026.

Incident Types 4Life Research vs Wellness and Fitness Services Industry Avg (This Year)

No incidents recorded for 4Life Research in 2026.

Incident History - 4Life Research (X = Date, Y = Severity)

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SUBSIDIARY

4Life Research Subsidiaries

Parent Company

4Life Research

Wellness and Fitness Services

Website: http://www.4life.com

Company Size: 501-1,000 employees

No subsidiary data available for this company.

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NEWS

4Life Research CyberSecurity News

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

TCS Ranked Among Top 4 Life Sciences Service Providers by HFS Research

TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through ...

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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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