What is the official website of Azkait ?

The official website of Azkait is https://azka-it.com/.

What is Azkait's cybersecurity risk score?

Azkait has an AI-generated cybersecurity risk score of 750 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Azkait experienced?

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

Has Azkait been affected by any supply chain cyber incidents ?

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

Does Azkait have SOC 2 Type 1 certification ?

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

Does Azkait have SOC 2 Type 2 certification ?

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

Does Azkait comply with GDPR ?

According to Rankiteo, Azkait is not listed as GDPR compliant.

Does Azkait have PCI DSS certification ?

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

Does Azkait comply with HIPAA ?

According to Rankiteo, Azkait is not compliant with HIPAA regulations.

Does Azkait have ISO 27001 certification ?

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

Which industry does Azkait operate in ?

Azkait operates primarily in the IT Services and IT Consulting industry.

How many employees does Azkait have ?

Azkait employs approximately 72 people worldwide.

Does Azkait own any subsidiaries ?

Azkait presently has no subsidiaries across any sectors.

How many LinkedIn followers does Azkait have ?

Azkait's official LinkedIn profile has approximately 12,365 followers.

What is the NAICS classification code for Azkait ?

Azkait is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

Does Azkait have a Crunchbase profile ?

No, Azkait does not have a profile on Crunchbase.

Does Azkait have a LinkedIn profile ?

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

How many cybersecurity incidents has Azkait experienced ?

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

How many peer or competitor companies does Azkait have ?

Azkait has an estimated 41,844 peer or competitor companies worldwide.

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Azkait

Boost Score +25 with badge (5 left)

750

/1000

Fair

775

/1000

Fair

Azkait Vendor Cyber Rating & Cyber Score

azka-it.com

Add Your Compliance Badge

At AZKA IT Consulting, we help U.S. companies grow their tech teams with top professionals from Mexico and Latin America. Our approach combines IT Staff Augmentation, specialized recruiting, and technical consulting to deliver fast, validated, high-performing talent that gets things done. En AZKA IT Consulting creemos que la mejor forma de alcanzar los objetivos es trabajando en equipo con nuestros clientes y proveedores, aportando valor, conocimientos y experiencia.

Azkait

Azkait CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

No data available

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A.I.

Azkait 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 Azkait

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

No incidents recorded for Azkait in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Azkait in 2026.

Incident Types Azkait vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Azkait in 2026.

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

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SUBSIDIARY

Azkait Subsidiaries

Parent Company

Azkait

IT Services and IT Consulting

Website: https://azka-it.com/

Company Size: 72

No subsidiary data available for this company.

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NEWS

Azkait 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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Azkait Vendor Cyber Rating & Cyber Score

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