What is the official website of MULTIVAC Australia ?

The official website of MULTIVAC Australia is http://au.multivac.com.

What is MULTIVAC Australia's cybersecurity risk score?

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

How many security incidents has MULTIVAC Australia experienced?

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

Has MULTIVAC Australia been affected by any supply chain cyber incidents ?

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

Does MULTIVAC Australia have SOC 2 Type 1 certification ?

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

Does MULTIVAC Australia have SOC 2 Type 2 certification ?

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

Does MULTIVAC Australia comply with GDPR ?

According to Rankiteo, MULTIVAC Australia is not listed as GDPR compliant.

Does MULTIVAC Australia have PCI DSS certification ?

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

Does MULTIVAC Australia comply with HIPAA ?

According to Rankiteo, MULTIVAC Australia is not compliant with HIPAA regulations.

Does MULTIVAC Australia have ISO 27001 certification ?

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

Which industry does MULTIVAC Australia operate in ?

MULTIVAC Australia operates primarily in the Machinery Manufacturing industry.

How many employees does MULTIVAC Australia have ?

MULTIVAC Australia employs approximately 80 people worldwide.

Does MULTIVAC Australia own any subsidiaries ?

MULTIVAC Australia presently has no subsidiaries across any sectors.

How many LinkedIn followers does MULTIVAC Australia have ?

MULTIVAC Australia's official LinkedIn profile has approximately 1,615 followers.

Does MULTIVAC Australia have a Crunchbase profile ?

No, MULTIVAC Australia does not have a profile on Crunchbase.

Does MULTIVAC Australia have a LinkedIn profile ?

Yes, MULTIVAC Australia maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/multivacaustralia.

How many cybersecurity incidents has MULTIVAC Australia experienced ?

As of June 23, 2026, Rankiteo reports that MULTIVAC Australia has not experienced any cybersecurity incidents.

How many peer or competitor companies does MULTIVAC Australia have ?

MULTIVAC Australia has an estimated 8,428 peer or competitor companies worldwide.

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MULTIVAC Australia

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Critical

MULTIVAC Australia Vendor Cyber Rating & Cyber Score

multivac.com

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MULTIVAC is the leading provider worldwide of packaging solutions for food products, life science and healthcare products as well as industrial items. The MULTIVAC portfolio covers all of the manufacturers requirements in terms of pack design, output and resource efficiency. The portfolio includes a variety of packaging technologies as well as automation solutions, labellers and quality control systems. The MULTIVAC product range is completed with the upstream packaging procedure solutions in the portioning and processing areas. Thanks to its comprehensive line capability, all modules can be integrated into complete solutions. Therefore, MULTIVAC solutions ensure a high degree of operational and process reliability as well as a high level

MULTIVAC Australia A.I CyberSecurity Scoring

Scoring History

MULTIVAC Australia

MULTIVAC Australia CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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A.I.

MULTIVAC Australia 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 MULTIVAC Australia

Incidents vs Machinery Manufacturing Industry Avg (This Year)

No incidents recorded for MULTIVAC Australia in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for MULTIVAC Australia in 2026.

Incident Types MULTIVAC Australia vs Machinery Manufacturing Industry Avg (This Year)

No incidents recorded for MULTIVAC Australia in 2026.

Incident History - MULTIVAC Australia (X = Date, Y = Severity)

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SUBSIDIARY

MULTIVAC Australia Subsidiaries

MULTIVAC Australia

Machinery Manufacturing

Website: http://au.multivac.com

Company Size: 80

MULTIVAC GroupMachinery Manufacturing

FRITSCH Bakery TechnologiesMachinery Manufacturing

MULTIVAC USAMachinery Manufacturing

MULTIVAC UKMachinery Manufacturing

MULTIVAC CanadaMachinery Manufacturing

MULTIVAC North AfricaMachinery Manufacturing

MULTIVAC FranceMachinery Manufacturing

MULTIVAC Middle EastMachinery Manufacturing

MULTIVAC NederlandMachinery Manufacturing

MULTIVAC ChileMachinery Manufacturing

MULTIVAC Laraon IndiaMachinery Manufacturing

MULTIVAC PortugalMachinery Manufacturing

MULTIVAC OyMachinery Manufacturing

TVI Entwicklung und Produktion GmbHMachinery Manufacturing

MULTIVAC PolandMachinery Manufacturing

MULTIVAC DanmarkMachinery Manufacturing

MULTIVAC SpainMachinery Manufacturing

MULTIVAC Central America and The CaribbeanMachinery Manufacturing

MULTIVAC DeutschlandMachinery Manufacturing

MULTIVAC Southern AfricaMachinery Manufacturing

MULTIVAC IrelandMachinery Manufacturing

MULTIVAC BulgariaMachinery Manufacturing

MULTIVAC SwitzerlandMachinery Manufacturing

MULTIVAC AsiaMachinery Manufacturing

MULTIVAC New ZealandMachinery Manufacturing

MULTIVAC PeruMachinery Manufacturing

MULTIVAC SwedenMachinery Manufacturing

MULTIVAC LechaschauMachinery Manufacturing

MULTIVAC ITALIAMachinery Manufacturing

MULTIVAC NorwayMachinery Manufacturing

MULTIVAC GreeceMachinery Manufacturing

MULTIVAC MéxicoMachinery Manufacturing

MULTIVAC HungaryMachinery Manufacturing

MULTIVAC NamibiaMachinery Manufacturing

MULTIVAC IsraelMachinery Manufacturing

MULTIVAC TurkeyMachinery Manufacturing

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NEWS

MULTIVAC Australia CyberSecurity News

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

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-54236

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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