What is the official website of UPMC Physician Resources ?

The official website of UPMC Physician Resources is https://www.upmcphysicianresources.com/.

What is UPMC Physician Resources's cybersecurity risk score?

UPMC Physician Resources has an AI-generated cybersecurity risk score of 762 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has UPMC Physician Resources experienced?

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

Has UPMC Physician Resources been affected by any supply chain cyber incidents ?

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

Does UPMC Physician Resources have SOC 2 Type 1 certification ?

According to Rankiteo, UPMC Physician Resources is not certified under SOC 2 Type 1.

Does UPMC Physician Resources have SOC 2 Type 2 certification ?

According to Rankiteo, UPMC Physician Resources does not hold a SOC 2 Type 2 certification.

Does UPMC Physician Resources comply with GDPR ?

According to Rankiteo, UPMC Physician Resources is not listed as GDPR compliant.

Does UPMC Physician Resources have PCI DSS certification ?

According to Rankiteo, UPMC Physician Resources does not currently maintain PCI DSS compliance.

Does UPMC Physician Resources comply with HIPAA ?

According to Rankiteo, UPMC Physician Resources is not compliant with HIPAA regulations.

Does UPMC Physician Resources have ISO 27001 certification ?

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

Which industry does UPMC Physician Resources operate in ?

UPMC Physician Resources operates primarily in the Hospitals and Health Care industry.

How many employees does UPMC Physician Resources have ?

UPMC Physician Resources employs approximately None employees people worldwide.

Does UPMC Physician Resources own any subsidiaries ?

UPMC Physician Resources presently has no subsidiaries across any sectors.

How many LinkedIn followers does UPMC Physician Resources have ?

UPMC Physician Resources's official LinkedIn profile has approximately 2,312 followers.

What is the NAICS classification code for UPMC Physician Resources ?

UPMC Physician Resources is classified under the NAICS code 62, which corresponds to Health Care and Social Assistance.

Does UPMC Physician Resources have a Crunchbase profile ?

No, UPMC Physician Resources does not have a profile on Crunchbase.

Does UPMC Physician Resources have a LinkedIn profile ?

Yes, UPMC Physician Resources maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/upmc-physician-resources.

How many cybersecurity incidents has UPMC Physician Resources experienced ?

As of June 23, 2026, Rankiteo reports that UPMC Physician Resources has experienced 3 cybersecurity incidents.

How many peer or competitor companies does UPMC Physician Resources have ?

UPMC Physician Resources has an estimated 33,114 peer or competitor companies worldwide.

What types of cybersecurity incidents has UPMC Physician Resources faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Ransomware, Breach and Data Leak.

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UPR

Boost Score +25 with badge (5 left)

762

/1000

Fair

787

/1000

Fair

UPMC Physician Resources Vendor Cyber Rating & Cyber Score

upmcphysicianresources.com

Add Your Compliance Badge

UPMC Physician Resources provides physicians with clinical and research news, videos, and free online continuing medical education (CME) across a wide range of adult and pediatric subspecialties. Experts from UPMC and our partners present on the latest clinical advances, bench-to-bedside research, and best practices in care delivery.

UPR A.I CyberSecurity Scoring

Scoring History

UPR

UPMC Physician Resources CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

UPMC

Breach

3/2026

UPM1773786562

UPMC

Ransomware

100

2/2024

UPMNOR177367897...

UPMC Physician Reso...

Data Leak

07/2018

UPM2344101122

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A.I.

UPR 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 UPR

Incidents vs Hospitals and Health Care Industry Avg (This Year)

No incidents recorded for UPMC Physician Resources in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for UPMC Physician Resources in 2026.

Incident Types UPR vs Hospitals and Health Care Industry Avg (This Year)

No incidents recorded for UPMC Physician Resources in 2026.

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

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SUBSIDIARY

UPMC Physician Resources Subsidiaries

UPR

Hospitals and Health Care

Website: https://www.upmcphysicianresources.com/

Company Size: 10,001+ employees

UPMCHospitals and Health Care

UPMC Supply Chain ManagementHospitals and Health Care

UPMC Supplier Opportunity & InclusionHospitals and Health Care

UPMC Health PlanInsurance

UPMC IrelandHospitals and Health Care

UPMC Supplier Diversity & InclusionHospitals and Health Care

UPMC InternationalHospitals and Health Care

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Beginning with a single community in 1981, Sunrise Senior Living has grown to more than 270 communities throughout the U.S. and Canada. Each of our communities continues the mission laid out by founders Paul and Terry Klaassen more than 40 years ago: to champion quality of life for all seniors. Join Our Team: At Sunrise Senior Living, our team members are at the heart of what sets us apart. We offer a unique, challenging, and rewarding work environment with competitive salaries, excellent benefits, and opportunities for both personal and professional growth. The relationships and bonds you will create with residents highlight meaningful ways to serve, grow, and shine together. A Career That PositivelyShines: Every resident needs a dedicated, compassionate, and experienced team around them. They also need a warm sense of companionship, opportunities to explore their interests, and moments of togetherness that bring laughter and joy. When you join our team, whether as a caregiver, culinary professional, maintenance expert, or in any other role, you'll play a vital part in creating an environment where longer, healthier, and happier lives are celebrated. This is what makes working at Sunrise truly special. Locations: With more than 270 communities and Community Support Offices located in McLean, Virginia, career opportunities can be found almost everywhere. To view our current openings and learn more about the exciting career opportunities available at Sunrise, please visit our careers page at: www.sunrise-careers.com This is your chance to make a bigger impact than you ever imagined. How will you brighten the future?

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NEWS

UPMC Physician Resources CyberSecurity News

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

March 07, 2025 08:00 AM

HIMSS25: A look into UPMC's digital health ROI framework

UPMC uses a detailed ROI framework to quantify its digital health programs, including clinician time savings, cost reductions and patient engagement.

Read Article

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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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