What is the official website of MNG Laboratories ?

The official website of MNG Laboratories is https://www.mnglabs.com.

What is MNG Laboratories's cybersecurity risk score?

MNG Laboratories has an AI-generated cybersecurity risk score of 753 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has MNG Laboratories experienced?

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

Has MNG Laboratories been affected by any supply chain cyber incidents ?

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

Does MNG Laboratories have SOC 2 Type 1 certification ?

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

Does MNG Laboratories have SOC 2 Type 2 certification ?

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

Does MNG Laboratories comply with GDPR ?

According to Rankiteo, MNG Laboratories is not listed as GDPR compliant.

Does MNG Laboratories have PCI DSS certification ?

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

Does MNG Laboratories comply with HIPAA ?

According to Rankiteo, MNG Laboratories is not compliant with HIPAA regulations.

Does MNG Laboratories have ISO 27001 certification ?

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

Which industry does MNG Laboratories operate in ?

MNG Laboratories operates primarily in the Biotechnology industry.

How many employees does MNG Laboratories have ?

MNG Laboratories employs approximately 21 people worldwide.

Does MNG Laboratories own any subsidiaries ?

MNG Laboratories presently has no subsidiaries across any sectors.

How many LinkedIn followers does MNG Laboratories have ?

MNG Laboratories's official LinkedIn profile has approximately 3,241 followers.

Does MNG Laboratories have a Crunchbase profile ?

Yes, MNG Laboratories has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/mng-laboratories.

Does MNG Laboratories have a LinkedIn profile ?

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

How many cybersecurity incidents has MNG Laboratories experienced ?

As of June 23, 2026, Rankiteo reports that MNG Laboratories has experienced 2 cybersecurity incidents.

How many peer or competitor companies does MNG Laboratories have ?

MNG Laboratories has an estimated 1,071 peer or competitor companies worldwide.

What types of cybersecurity incidents has MNG Laboratories faced ?

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

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MNG Laboratories

Boost Score +25 with badge (5 left)

753

/1000

Fair

778

/1000

Fair

MNG Laboratories Vendor Cyber Rating & Cyber Score

mnglabs.com

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Add Your Compliance Badge

MNG Laboratories is an internationally recognized clinical diagnostic leader specializing in neurogenetic and complex biochemical testing. Our portfolio includes movement disorders, epilepsy, muscular dystrophies, intellectual disabilities, metabolic and other inherited disorders. Our extensive offering of next-generation sequencing panels, proprietary Genome MaNaGer™ database and our Neurogenetic Answers™ reporting platform is recognized by genetic experts around the world. We are proud to offer first-in-class reporting and fast turnaround times. With over 15 years of neurogenetic experience, and powered by a culture of discovery and advancement, MNG Laboratories delivers results that make a difference for patients and their

MNG Laboratories A.I CyberSecurity Scoring

Scoring History

MNG Laboratories

MNG Laboratories CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

MNG Laboratories

Breach

8/2018

LAB156072625

MNG Laboratories

Ransomware

07/2018

LAB2291122

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A.I.

MNG Laboratories 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 MNG Laboratories

Incidents vs Biotechnology Industry Avg (This Year)

No incidents recorded for MNG Laboratories in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for MNG Laboratories in 2026.

Incident Types MNG Laboratories vs Biotechnology Industry Avg (This Year)

No incidents recorded for MNG Laboratories in 2026.

Incident History - MNG Laboratories (X = Date, Y = Severity)

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SUBSIDIARY

MNG Laboratories Subsidiaries

MNG Laboratories

Biotechnology

Website: https://www.mnglabs.com

Company Size: 21

LabcorpHospitals and Health Care

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MNG Laboratories Similar Companies

Regeneron

cb regeneron.com

At Regeneron we believe that when the right idea finds the right team, powerful change is possible. As we work across our expanding global network to invent, develop and commercialize life-transforming medicines for people with serious diseases, we’re establishing new ways to think about science, manufacturing and commercialization. And new ways to think about health. Connect with us so we can learn more about you, and you can learn more about our biopharmaceutical medicines. And join us, as we build a future we believe in. Please visit www.regeneron.com/social-media-terms for information on how to engage with us on social media. An important note about privacy: Regeneron is committed to your privacy and will not ask for sensitive personal information such as social security number, date of birth or bank account details via email or social media.

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NEWS

MNG Laboratories CyberSecurity News

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

August 29, 2025 07:00 AM

SEC Says Crypto Project Mango Can't 'Undo' $700K Settlement

The U.S. Securities and Exchange Commission is pushing back on cryptocurrency project Mango Labs' bid to undo a nearly $700000 settlement,...

Read Article

October 09, 2024 07:00 AM

Mango Labs Sues Ex-Employees for Over $10M After 'Egregious' Governance Nightmare

"It's good for the industry to take a stand against this kind of conduct," said Michael Burshteyn, a shareholder at Greenberg Traurig.

Read Article

September 25, 2024 07:00 AM

Top 40 Under 40 2024

Michael Burshteyn is a shareholder at Greenberg Traurig LLP, where he specializes in IP litigation involving cryptocurrency, digital assets, data privacy and...

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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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