What is the official website of Lumenis Aesthetics ?

The official website of Lumenis Aesthetics is https://http://www.lumenis.com/Aesthetic.

What is Lumenis Aesthetics's cybersecurity risk score?

Lumenis Aesthetics has an AI-generated cybersecurity risk score of 763 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Lumenis Aesthetics experienced?

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

Has Lumenis Aesthetics been affected by any supply chain cyber incidents ?

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

Does Lumenis Aesthetics have SOC 2 Type 1 certification ?

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

Does Lumenis Aesthetics have SOC 2 Type 2 certification ?

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

Does Lumenis Aesthetics comply with GDPR ?

According to Rankiteo, Lumenis Aesthetics is not listed as GDPR compliant.

Does Lumenis Aesthetics have PCI DSS certification ?

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

Does Lumenis Aesthetics comply with HIPAA ?

According to Rankiteo, Lumenis Aesthetics is not compliant with HIPAA regulations.

Does Lumenis Aesthetics have ISO 27001 certification ?

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

Which industry does Lumenis Aesthetics operate in ?

Lumenis Aesthetics operates primarily in the Medical Equipment Manufacturing industry.

How many employees does Lumenis Aesthetics have ?

Lumenis Aesthetics employs approximately None employees people worldwide.

Does Lumenis Aesthetics own any subsidiaries ?

Lumenis Aesthetics presently has no subsidiaries across any sectors.

How many LinkedIn followers does Lumenis Aesthetics have ?

Lumenis Aesthetics's official LinkedIn profile has approximately 12,544 followers.

What is the NAICS classification code for Lumenis Aesthetics ?

Lumenis Aesthetics is classified under the NAICS code 3391, which corresponds to Medical Equipment and Supplies Manufacturing.

Does Lumenis Aesthetics have a Crunchbase profile ?

No, Lumenis Aesthetics does not have a profile on Crunchbase.

Does Lumenis Aesthetics have a LinkedIn profile ?

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

How many cybersecurity incidents has Lumenis Aesthetics experienced ?

As of October 6, 2026, Rankiteo reports that Lumenis Aesthetics has not experienced any cybersecurity incidents.

How many peer or competitor companies does Lumenis Aesthetics have ?

Lumenis Aesthetics has an estimated 5,975 peer or competitor companies worldwide.

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Lumenis Aesthetics

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763

/1000

Fair

788

/1000

Fair

Lumenis Aesthetics Vendor Cyber Rating & Cyber Score

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Lumenis Aesthetic is a worldwide leader and pioneer in the field of energy-based aesthetic devices with presence in over 100 countries.

Lumenis Aesthetics

Lumenis Aesthetics CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

Lumenis Aesthetics 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 Lumenis Aesthetics

Incidents vs Medical Equipment Manufacturing Industry Avg (This Year)

No incidents recorded for Lumenis Aesthetics in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Lumenis Aesthetics in 2026.

Incident Types Lumenis Aesthetics vs Medical Equipment Manufacturing Industry Avg (This Year)

No incidents recorded for Lumenis Aesthetics in 2026.

Incident History - Lumenis Aesthetics (X = Date, Y = Severity)

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SUBSIDIARY

Lumenis Aesthetics Subsidiaries

Lumenis Aesthetics

Medical Equipment Manufacturing

Website: https://http://www.lumenis.com/Aesthetic

Company Size: None employees

LumenisMedical Device

Lumenis VisionMedical Equipment Manufacturing

BSC ENTMedical Equipment Manufacturing

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NEWS

Lumenis Aesthetics CyberSecurity News

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

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-105761

SUMMARY

Dify is an open-source LLM app development platform. Prior to 1.16.0, the PUT /console/api/apps/<app_id>/server endpoint in api/controllers/console/app/mcp_server.py used AppMCPServerController.put() to retrieve an AppMCPServer by the client-supplied server ID without verifying that the server belonged to the requested application and tenant. An authenticated workspace member could therefore change another application's MCP server status and parameters, potentially redirecting data or disabling the service. This issue is fixed in version 1.16.0.

Published

Date2026-10-05

Updated

Date2026-10-05

RISK INFORMATION (Score: 7.1)

cvss3

Base Score: 7.1

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L

Impact Score

4.2

Exploitability

2.8

REFERENCES

CVE-2026-105760

SUMMARY

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pre-decode frame-index list, allowing a compact request and tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor. This issue is fixed in version 0.30.0.

Published

Date2026-10-05

Updated

Date2026-10-05

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:N/I:N/A:L

Impact Score

1.4

Exploitability

3.9

REFERENCES

CVE-2026-105759

SUMMARY

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the Rust frontend's track_http_metrics middleware records the raw HTTP method token as a Prometheus label for requests reaching registered routes. An unauthenticated attacker can send unique arbitrary method tokens to unguarded routes such as /tokenize, causing Prometheus's Family::get_or_create function to permanently create counter and histogram label sets. Those label sets increase process memory usage and enlarge the /metrics response until the service or monitoring path is exhausted. This issue is fixed in version 0.30.0.

Published

Date2026-10-05

Updated

Date2026-10-05

RISK INFORMATION (Score: 5.9)

cvss3

Base Score: 5.9

Complexity: HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Impact Score

3.6

Exploitability

2.2

REFERENCES

CVE-2026-105758

SUMMARY

vLLM is an inference and serving engine for large language models. From 0.24.0 until 0.30.0, the Qwen2VLVideoBackend and Qwen3VLVideoBackend classes accept request-level values for the media_io_kwargs.video.max_frames and media_io_kwargs.video.fps fields without enforcing server-side ceilings. An unauthenticated caller can submit these values to the /tokenize endpoint, causing the sampler to decode every frame selected from attacker-controlled video input, consume disproportionate frontend memory, and potentially terminate the API process before scheduling or admission control. The Rust frontend is not affected because it rejects the media_io_kwargs field. This issue is fixed in version 0.30.0.

Published

Date2026-10-05

Updated

Date2026-10-05

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:N/I:N/A:L

Impact Score

1.4

Exploitability

3.9

REFERENCES

CVE-2026-105757

SUMMARY

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculative-decoding mode can pass a negative token to guidance validation, and the Rust frontend can admit empty structured-output values that the Python frontend rejects, allowing ordinary constrained-generation requests to terminate the shared engine. This issue is fixed in version 0.30.0.

Published

Date2026-10-05

Updated

Date2026-10-05

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

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Lumenis Aesthetics Vendor Cyber Rating & Cyber Score

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