Has HPE Juniper Networking - Federal, acquired by Hewlett Packard Enterprise company in 2025 been affected by any supply chain cyber incidents ?

According to Rankiteo, HPE Juniper Networking - Federal, acquired by Hewlett Packard Enterprise company in 2025 has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop

WindowsmacOSLinux

Download

Badge your company to reduce your risk score and your cyber insurance costs!

Link verified badges to your company page to build trust with insurers and customers.

Apply now and get your badge!

Internal validation & live display

Insurers and partners see a safer profile

Faster underwriting decisions

Trusted by insurers. Chosen by leaders.

Proud contributor to the Society of Actuaries.

HJNFAHPEC

Boost Score +25 with badge (5 left)

757

/1000

Fair

782

/1000

Fair

HPE Juniper Networking - Federal, acquired by Hewlett Packard Enterprise company in 2025 Vendor Cyber Rating & Cyber Score

hpe.com

Add Your Compliance Badge

Juniper Networks was recently acquired by HPE, please follow Hewlett Packard Enterprise on LinkedIn https://www.linkedin.com/company/hewlett-packard-enterprise

HJNFAHPEC A.I CyberSecurity Scoring

Scoring History

HJNFAHPEC

HPE Juniper Networking - Federal, acquired by Hewlett Packard Enterprise company in 2025 CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Juniper Networks

Vulnerability

100

4/2026

JUN1775809436

Juniper Networks

Cyber Attack

3/2026

JUNALI177393033...

Juniper Networks

Vulnerability

100

2/2026

JUN1772173422

HPE Juniper Network...

Breach

100

3/2025

JUN000031325

Juniper Networks

Breach

1/2025

CISVMWJUNCAN177...

HPE Juniper Network...

Cyber Attack

12/2024

JUN000122224

HPE Juniper Network...

Vulnerability

100

6/2024

JUN000031625

Loading…

A.I.

HJNFAHPEC 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

Loading…

Underwriter Stats for HJNFAHPEC

Incidents vs Computer Networking Industry Avg (This Year)

No incidents recorded for HPE Juniper Networking - Federal, acquired by Hewlett Packard Enterprise company in 2025 in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for HPE Juniper Networking - Federal, acquired by Hewlett Packard Enterprise company in 2025 in 2026.

Incident Types HJNFAHPEC vs Computer Networking Industry Avg (This Year)

No incidents recorded for HPE Juniper Networking - Federal, acquired by Hewlett Packard Enterprise company in 2025 in 2026.

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

Loading…

SUBSIDIARY

HPE Juniper Networking - Federal, acquired by Hewlett Packard Enterprise company in 2025 Subsidiaries

HJNFAHPEC

Computer Networking

Website: http://www.hpe.com

Company Size: 5,001-10,000 employees

128 TechnologyIT Services and IT Consulting

Juniper NetworksSoftware Development

Juniper ApstraSoftware Development

Loading…

HPE Juniper Networking - Federal, acquired by Hewlett Packard Enterprise company in 2025 Similar Companies

Loading…

NEWS

HPE Juniper Networking - Federal, acquired by Hewlett Packard Enterprise company in 2025 CyberSecurity News

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

December 31, 2025 08:00 AM

That was 2025 – The data leaks and upsets of the IT world in a review of the year

How was 2025? The year is coming to an end and some scandals remain. Below, I have compiled a chronological list of some of the year's most...

Read Article

December 10, 2025 08:00 AM

HPE Fights State AGs' Bid To Block Juniper Integration

Hewlett Packard Enterprise told a California federal court that even though it has already combined with Juniper Networks, state enforcers...

Read Article

December 05, 2025 08:00 AM

HPE earnings sees Juniper bring the green on all fronts

The latest financial report from Hewlett Packard Enterprise (HPE) saw $9.7 billion in revenue for the firm in the quarter, a 14% increase...

Read Article

November 18, 2025 08:00 AM

States Can Intervene Over DOJ's HPE Merger Deal

A California federal court granted a request on Tuesday from state enforcers asking to participate in a review of the U.S. Department of...

Read Article

November 13, 2025 08:00 AM

The biggest enterprise technology M&A deals of the year (so far)

Mergers and acquisitions across the technology industry are going strong in 2025, as private equity firms look for outlets for capital accumulated.

Read Article

October 31, 2025 07:00 AM

Colorado AG’s move hampers AI’s progress | OPINION

By Martin A. Perryman. According to a report from the Common Sense Institute, a nonpartisan Colorado think-tank, the Centennial State has...

Read Article

October 31, 2025 07:00 AM

HPE CEO Antonio Neri reflects on company's AI transformation, $14B Juniper acquisition

HPE's CEO discusses the company's AI investments, Juniper acquisition, and commitment to Houston's tech scene as it marks its 10th...

Read Article

October 15, 2025 07:00 AM

HPE's $14 billion Juniper acquisition could face state challenge

A group of U.S. states said they may seek to block Hewlett-Packard Enterprise's $14 billion acquisition of Juniper Networks and have asked a...

Read Article

September 07, 2025 07:00 AM

HPE-Juniper deal should be probed, Democratic AGs tell court

Attorneys general from Colorado and 19 other states on Friday called for a court to consider rejecting a U.S. Department of Justice's...

Read Article

Loading…

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

Loading…

API

Access Data Using Our API

Get company history

curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'

Try It API Documentation Rapid

MEASURE

What Do We Measure ?

Incident

Finding

Grade

Digital Assets

Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.

These are some of the factors we use to calculate the overall score:

Network SecurityIdentify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.

SBOM (Software Bill of Materials)Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.

CMDB (Configuration Management Database)Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.

Threat IntelligenceLeverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.

Rankiteo

By Rankiteo

★ ★ ★ ★ ★

View on G2.com

Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.

View latest plans →View all security reports →

MILESTONEG

Users
Love Us

Loading…