What is the official website of Bürkert Fluid Control Systems Africa ?

The official website of Bürkert Fluid Control Systems Africa is https://www.burkert.co.za.

What is Bürkert Fluid Control Systems Africa's cybersecurity risk score?

Bürkert Fluid Control Systems Africa has an AI-generated cybersecurity risk score of 742 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Bürkert Fluid Control Systems Africa experienced?

According to Rankiteo, Bürkert Fluid Control Systems Africa currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Bürkert Fluid Control Systems Africa been affected by any supply chain cyber incidents ?

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

Does Bürkert Fluid Control Systems Africa have SOC 2 Type 1 certification ?

According to Rankiteo, Bürkert Fluid Control Systems Africa is not certified under SOC 2 Type 1.

Does Bürkert Fluid Control Systems Africa have SOC 2 Type 2 certification ?

According to Rankiteo, Bürkert Fluid Control Systems Africa does not hold a SOC 2 Type 2 certification.

Does Bürkert Fluid Control Systems Africa comply with GDPR ?

According to Rankiteo, Bürkert Fluid Control Systems Africa is not listed as GDPR compliant.

Does Bürkert Fluid Control Systems Africa have PCI DSS certification ?

According to Rankiteo, Bürkert Fluid Control Systems Africa does not currently maintain PCI DSS compliance.

Does Bürkert Fluid Control Systems Africa comply with HIPAA ?

According to Rankiteo, Bürkert Fluid Control Systems Africa is not compliant with HIPAA regulations.

Does Bürkert Fluid Control Systems Africa have ISO 27001 certification ?

According to Rankiteo,Bürkert Fluid Control Systems Africa is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Bürkert Fluid Control Systems Africa operate in ?

Bürkert Fluid Control Systems Africa operates primarily in the Automation Machinery Manufacturing industry.

How many employees does Bürkert Fluid Control Systems Africa have ?

Bürkert Fluid Control Systems Africa employs approximately 5 people worldwide.

Does Bürkert Fluid Control Systems Africa own any subsidiaries ?

Bürkert Fluid Control Systems Africa presently has no subsidiaries across any sectors.

How many LinkedIn followers does Bürkert Fluid Control Systems Africa have ?

Bürkert Fluid Control Systems Africa's official LinkedIn profile has approximately 538 followers.

What is the NAICS classification code for Bürkert Fluid Control Systems Africa ?

Bürkert Fluid Control Systems Africa is classified under the NAICS code 33325, which corresponds to Others.

Does Bürkert Fluid Control Systems Africa have a Crunchbase profile ?

No, Bürkert Fluid Control Systems Africa does not have a profile on Crunchbase.

Does Bürkert Fluid Control Systems Africa have a LinkedIn profile ?

Yes, Bürkert Fluid Control Systems Africa maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/bürkert-fluid-control-systems-africa.

How many cybersecurity incidents has Bürkert Fluid Control Systems Africa experienced ?

As of June 23, 2026, Rankiteo reports that Bürkert Fluid Control Systems Africa has not experienced any cybersecurity incidents.

How many peer or competitor companies does Bürkert Fluid Control Systems Africa have ?

Bürkert Fluid Control Systems Africa has an estimated 3,388 peer or competitor companies worldwide.

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BFCSA

Boost Score +25 with badge (5 left)

742

/1000

Moderate

767

/1000

Fair

Bürkert Fluid Control Systems Africa Vendor Cyber Rating & Cyber Score

burkert.co.za

Add Your Compliance Badge

As a competent partner for your system solution and our products, Bürkert provides service for the complete life cycle of your system - Full-service Excellence by Bürkert.

BFCSA A.I CyberSecurity Scoring

Scoring History

BFCSA

Bürkert Fluid Control Systems Africa 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.

BFCSA 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 BFCSA

Incidents vs Automation Machinery Manufacturing Industry Avg (This Year)

No incidents recorded for Bürkert Fluid Control Systems Africa in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Bürkert Fluid Control Systems Africa in 2026.

Incident Types BFCSA vs Automation Machinery Manufacturing Industry Avg (This Year)

No incidents recorded for Bürkert Fluid Control Systems Africa in 2026.

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

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SUBSIDIARY

Bürkert Fluid Control Systems Africa Subsidiaries

Parent Company

BFCSA

Automation Machinery Manufacturing

Website: https://www.burkert.co.za

Company Size: 5

No subsidiary data available for this company.

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NEWS

Bürkert Fluid Control Systems Africa CyberSecurity News

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

August 12, 2020 03:17 PM

Features

21/10/2025 Georg Fischer Piping Systems Ltd. GF introduces the Type 4170 Sensor for inline turbidity monitoring · Introducing ABB's New P-300 Pressure...

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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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