Has BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 been affected by any supply chain cyber incidents ?

According to Rankiteo, BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 have ISO 27001 certification ?

According to Rankiteo,BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

How many LinkedIn followers does BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 have ?

BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018's official LinkedIn profile has approximately 3,665 followers.

What is the NAICS classification code for BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 ?

BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

How many peer or competitor companies does BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 have ?

BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 has an estimated 40,797 peer or competitor companies worldwide.

What types of cybersecurity incidents has BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach and Vulnerability.

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BIAHPEC

Boost Score +25 with badge (5 left)

749

/1000

Moderate

774

/1000

Fair

BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 Vendor Cyber Rating & Cyber Score

hpe.com

cb in

Add Your Compliance Badge

BlueData, acquired by Hewlett Packard Enterprise company in 2018, transforms how enterprises deploy AI, machine learning, data science, and data analytics applications. The container-based BlueData software platform makes it easier, faster, and more cost-effective to deploy Spark, Kafka, TensorFlow, and other AI / ML / DL and big data analytics tools – either on-premises, in the public cloud, or in a hybrid architecture. With BlueData, our customers can spin up containerized environments within minutes – providing their data scientists with secure on-demand access to the applications, data, and infrastructure they need. BlueData was founded in 2012 by VMware veterans and headquartered in Santa Clara, California. The company was

BIAHPEC A.I CyberSecurity Scoring

Scoring History

BIAHPEC

BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

HPE Aruba Networkin...

Vulnerability

4/2026

ARU1775831194

Hewlett Packard Ent...

Vulnerability

2/2026

HEW1772540968

Hewlett Packard Ent...

Vulnerability

2/2026

HEW1770906520

Hewlett Packard Ent...

Vulnerability

1/2026

HEW1769152921

Hewlett Packard Ent...

Vulnerability

100

12/2025

HEW1768563793

BlueData, Inc., acq...

Vulnerability

6/2025

HEW723072225

BlueData, Inc., acq...

Vulnerability

100

6/2024

HEW411030525

BlueData, Inc., acq...

Breach

100

5/2023

HEW509235009212...

BlueData, Inc., acq...

Breach

100

11/2021

ARU826111122

BlueData, Inc., acq...

Breach

100

10/2016

HEW513092125

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A.I.

BIAHPEC 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 BIAHPEC

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

No incidents recorded for BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 in 2026.

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

No incidents recorded for BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 in 2026.

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

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SUBSIDIARY

BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 Subsidiaries

BIAHPEC

IT Services and IT Consulting

Website: http://hpe.com/ezmeral

Company Size: 18

Hewlett Packard EnterpriseIT Services and IT Consulting

HPE Aruba NetworkingIT Services and IT Consulting

Niara, acquired by Aruba, a Hewlett Packard Enterprise company in 2017IT Services and IT Consulting

HPE Engage & GrowIT Services and IT Consulting

Axis, acquired by Hewlett Packard Enterprise company in 2023Computer and Network Security

Athonet, acquired by Hewlett Packard Enterprise company in 2023Telecommunications

HPE Aruba NetworkingIT Services and IT Consulting

Hewlett Packard LabsIT Services and IT Consulting

HPE GreenLakeIT Services and IT Consulting

HPE Financial ServicesFinancial Services

Nimble Storage, acquired by Hewlett Packard Enterprise company in 2017Information Technology & Services

MapR Technologies, acquired by Hewlett Packard Enterprise company in 2019Information Technology & Services

HPE SimpliVityInformation Technology & Services

HPE ServicesIT Services and IT Consulting

Cray Inc.Information Technology & Services

HPE Data StorageIT Services and IT Consulting

HPE PartnersIT Services and IT Consulting

Cloud Tech Partners, acquired by Hewlett Packard Enterprise company in 2018Information Technology & Services

Scytale.io, acquired by Hewlett Packard Enterprise company in 2020IT Services and IT Consulting

HPE AIIT Services and IT Consulting

HPE Compute, Servers and SystemsIT Services and IT Consulting

CloudPhysics, acquired by Hewlett Packard Enterprise company in 2021Software Development

Determined AI, acquired by Hewlett Packard Enterprise company in 2021IT Services and IT Consulting

HPE IT Solutions for SMB IT Services and IT Consulting

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NEWS

BlueData, Inc., acquired by Hewlett Packard Enterprise company in 2018 CyberSecurity News

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

March 16, 2021 07:00 AM

Watch live: Ezmeral’s data fabric highlights HPE’s renewed focus on software, March 17

A company with the size and longevity of Hewlett Packard Enterprise Co. doesn't remain a major technology player for decades without...

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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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