What is the official website of Apobiologix ?

The official website of Apobiologix is http://apobiologix.com.

What is Apobiologix's cybersecurity risk score?

Apobiologix has an AI-generated cybersecurity risk score of 749 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Apobiologix experienced?

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

Has Apobiologix been affected by any supply chain cyber incidents ?

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

Does Apobiologix have SOC 2 Type 1 certification ?

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

Does Apobiologix have SOC 2 Type 2 certification ?

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

Does Apobiologix comply with GDPR ?

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

Does Apobiologix have PCI DSS certification ?

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

Does Apobiologix comply with HIPAA ?

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

Does Apobiologix have ISO 27001 certification ?

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

Which industry does Apobiologix operate in ?

Apobiologix operates primarily in the Biotechnology Research industry.

How many employees does Apobiologix have ?

Apobiologix employs approximately 16 people worldwide.

Does Apobiologix own any subsidiaries ?

Apobiologix presently has no subsidiaries across any sectors.

How many LinkedIn followers does Apobiologix have ?

Apobiologix's official LinkedIn profile has approximately 3,611 followers.

Does Apobiologix have a Crunchbase profile ?

No, Apobiologix does not have a profile on Crunchbase.

Does Apobiologix have a LinkedIn profile ?

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

How many cybersecurity incidents has Apobiologix experienced ?

As of June 23, 2026, Rankiteo reports that Apobiologix has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Apobiologix have ?

Apobiologix has an estimated 4,709 peer or competitor companies worldwide.

What types of cybersecurity incidents has Apobiologix faced ?

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

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Apobiologix

Boost Score +25 with badge (5 left)

749

/1000

Moderate

774

/1000

Fair

Apobiologix Vendor Cyber Rating & Cyber Score

apobiologix.com

Add Your Compliance Badge

Apobiologix is a member of the Apotex Group of Companies, the largest Canadian-owned, pharmaceutical company with sales in 115 countries across the world. Founded in 1974 by Dr. Barry Sherman, Apotex is one of the world’s leading suppliers of high-quality, affordable pharmaceutical products. The success of Apotex is founded on its culture of quality and its commitment to manufacturing safe and effective medicines, meeting strict regulatory standards and making healthcare accessible to millions of people worldwide.

Apobiologix A.I CyberSecurity Scoring

Scoring History

Apobiologix

Apobiologix CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Apobiologix

Ransomware

100

8/2021

SI-553072525

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A.I.

Apobiologix 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 Apobiologix

Incidents vs Biotechnology Research Industry Avg (This Year)

No incidents recorded for Apobiologix in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Apobiologix in 2026.

Incident Types Apobiologix vs Biotechnology Research Industry Avg (This Year)

No incidents recorded for Apobiologix in 2026.

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

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SUBSIDIARY

Apobiologix Subsidiaries

Apobiologix

Biotechnology Research

Website: http://apobiologix.com

Company Size: 16

Apotex Inc.Pharmaceutical Manufacturing

Apotex Pharmachem Inc.Pharmaceutical Manufacturing

SK Capital PartnersFinancial Services

ArchromaChemical Manufacturing

Color Atlas by ArchromaTextilherstellung

HeubachChemical Manufacturing

SEQENSPharmaceutical Manufacturing

SEQENS Personal CarePersonal Care Product Manufacturing

SEQENS Pharmaceutical SolutionsPharmaceutical Manufacturing

Ascend Performance MaterialsChemical Manufacturing

Acteev By AscendTextile Manufacturing

SI GroupChemical Manufacturing

Careers at SI GroupChemical Manufacturing

Valtris Specialty ChemicalsChemical Manufacturing

TPC GroupChemical Manufacturing

GEON Performance SolutionsPlastics Manufacturing

Isolatek InternationalWholesale Building Materials

EcopolPackaging and Containers Manufacturing

Tilley DistributionChemical Manufacturing

Noramco™Pharmaceutical Manufacturing

VanDeMark Chemical IncChemical Manufacturing

CanlakChemical Manufacturing

Woodstock Sterile SolutionsPharmaceutical Manufacturing

J&K IngredientsFood and Beverage Manufacturing

DeltechChemical Manufacturing

Foremark Performance ChemicalsChemical Manufacturing

Florachem CorporationChemical Manufacturing

INEOS CalabrianChemical Manufacturing

Luxium SolutionsManufacturing

Lacerta Group, LLC.Packaging and Containers Manufacturing

Apotex Inc. - QuébecPharmaceutical Manufacturing

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NEWS

Apobiologix 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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