What is the official website of Pivara Trebjesa ?

The official website of Pivara Trebjesa is http://www.niksickopivo.com.

What is Pivara Trebjesa's cybersecurity risk score?

Pivara Trebjesa has an AI-generated cybersecurity risk score of 761 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Pivara Trebjesa experienced?

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

Has Pivara Trebjesa been affected by any supply chain cyber incidents ?

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

Does Pivara Trebjesa have SOC 2 Type 1 certification ?

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

Does Pivara Trebjesa have SOC 2 Type 2 certification ?

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

Does Pivara Trebjesa comply with GDPR ?

According to Rankiteo, Pivara Trebjesa is not listed as GDPR compliant.

Does Pivara Trebjesa have PCI DSS certification ?

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

Does Pivara Trebjesa comply with HIPAA ?

According to Rankiteo, Pivara Trebjesa is not compliant with HIPAA regulations.

Does Pivara Trebjesa have ISO 27001 certification ?

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

Which industry does Pivara Trebjesa operate in ?

Pivara Trebjesa operates primarily in the Food and Beverage Services industry.

How many employees does Pivara Trebjesa have ?

Pivara Trebjesa employs approximately 55 people worldwide.

Does Pivara Trebjesa own any subsidiaries ?

Pivara Trebjesa presently has no subsidiaries across any sectors.

How many LinkedIn followers does Pivara Trebjesa have ?

Pivara Trebjesa's official LinkedIn profile has approximately 2,008 followers.

What is the NAICS classification code for Pivara Trebjesa ?

Pivara Trebjesa is classified under the NAICS code 722, which corresponds to Food Services and Drinking Places.

Does Pivara Trebjesa have a Crunchbase profile ?

No, Pivara Trebjesa does not have a profile on Crunchbase.

Does Pivara Trebjesa have a LinkedIn profile ?

Yes, Pivara Trebjesa maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/pivara-trebjesa-ad---ab-inbev-group.

How many cybersecurity incidents has Pivara Trebjesa experienced ?

As of October 6, 2026, Rankiteo reports that Pivara Trebjesa has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Pivara Trebjesa have ?

Pivara Trebjesa has an estimated 8,834 peer or competitor companies worldwide.

What types of cybersecurity incidents has Pivara Trebjesa faced ?

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

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Pivara Trebjesa

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761

/1000

Fair

786

/1000

Fair

Pivara Trebjesa Vendor Cyber Rating & Cyber Score

niksickopivo.com

Add Your Compliance Badge

Nikšićko pivo je baštinik bogate tradicije pivarstva u Nikšiću, koja seže do 1896. godine kada je preduzetni vizionar Vuko Jankov Krivokapić, uz blagoslov Knjaza Nikole, osnovao prvu pivaru pod imenom “Onogošt”. Materijalna sredstva za ovaj rizičan poduhvat obezbijedio je Vukov otac, Janko, imućan domaćin. Knjaz Nikola dao je Krivokapiću saglasnost za podizanje prve fabrike bire u Crnoj Gori i istovremeno ga oslobodio carine na uvezenu opremu, sirovine i dažbine na pivo. Pivo iz Vukove proizvodnje brzo je sa trona skinulo medovinu koja je do tada bila omiljeno piće Crnogoraca, a vec junu 1900. godine, Knjaz Nikola je Krivokapića odlikovao Zlatnom medaljom za revnost. Ipak, Vuko i njegov otac Janko, zbog teškoća u poslovanju, morali su

Pivara Trebjesa

Pivara Trebjesa CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Pivara Trebjesa

Ransomware

3/2021

MOL15545322

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A.I.

Pivara Trebjesa 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 Pivara Trebjesa

Incidents vs Food and Beverage Services Industry Avg (This Year)

No incidents recorded for Pivara Trebjesa in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Pivara Trebjesa in 2026.

Incident Types Pivara Trebjesa vs Food and Beverage Services Industry Avg (This Year)

No incidents recorded for Pivara Trebjesa in 2026.

Incident History - Pivara Trebjesa (X = Date, Y = Severity)

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SUBSIDIARY

Pivara Trebjesa Subsidiaries

Pivara Trebjesa

Food and Beverage Services

Website: http://www.niksickopivo.com

Company Size: 201-500 employees

Molson Coors Beverage CompanyFood and Beverage Services

Apatinska pivaraFood & Beverages

Molson Coors BHFood and Beverage Services

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NEWS

Pivara Trebjesa 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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Pivara Trebjesa Vendor Cyber Rating & Cyber Score

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Pivara Trebjesa Company Scoring based on AI Models