What is the official website of KPMG Corporate Responsibility ?

The official website of KPMG Corporate Responsibility is https://kpmg.com/us/en/careers-and-culture/corporate-responsibility.html.

What is KPMG Corporate Responsibility's cybersecurity risk score?

KPMG Corporate Responsibility has an AI-generated cybersecurity risk score of 756 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has KPMG Corporate Responsibility experienced?

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

Has KPMG Corporate Responsibility been affected by any supply chain cyber incidents ?

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

Does KPMG Corporate Responsibility have SOC 2 Type 1 certification ?

According to Rankiteo, KPMG Corporate Responsibility is not certified under SOC 2 Type 1.

Does KPMG Corporate Responsibility have SOC 2 Type 2 certification ?

According to Rankiteo, KPMG Corporate Responsibility does not hold a SOC 2 Type 2 certification.

Does KPMG Corporate Responsibility comply with GDPR ?

According to Rankiteo, KPMG Corporate Responsibility is not listed as GDPR compliant.

Does KPMG Corporate Responsibility have PCI DSS certification ?

According to Rankiteo, KPMG Corporate Responsibility does not currently maintain PCI DSS compliance.

Does KPMG Corporate Responsibility comply with HIPAA ?

According to Rankiteo, KPMG Corporate Responsibility is not compliant with HIPAA regulations.

Does KPMG Corporate Responsibility have ISO 27001 certification ?

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

Which industry does KPMG Corporate Responsibility operate in ?

KPMG Corporate Responsibility operates primarily in the Financial Services industry.

How many employees does KPMG Corporate Responsibility have ?

KPMG Corporate Responsibility employs approximately None employees people worldwide.

Does KPMG Corporate Responsibility own any subsidiaries ?

KPMG Corporate Responsibility presently has no subsidiaries across any sectors.

How many LinkedIn followers does KPMG Corporate Responsibility have ?

KPMG Corporate Responsibility's official LinkedIn profile has approximately 3,769 followers.

What is the NAICS classification code for KPMG Corporate Responsibility ?

KPMG Corporate Responsibility is classified under the NAICS code 52, which corresponds to Finance and Insurance.

Does KPMG Corporate Responsibility have a Crunchbase profile ?

No, KPMG Corporate Responsibility does not have a profile on Crunchbase.

Does KPMG Corporate Responsibility have a LinkedIn profile ?

Yes, KPMG Corporate Responsibility maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/kpmg-us-corporate-responsibility.

How many cybersecurity incidents has KPMG Corporate Responsibility experienced ?

As of June 23, 2026, Rankiteo reports that KPMG Corporate Responsibility has not experienced any cybersecurity incidents.

How many peer or competitor companies does KPMG Corporate Responsibility have ?

KPMG Corporate Responsibility has an estimated 32,128 peer or competitor companies worldwide.

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KCR

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756

/1000

Fair

781

/1000

Fair

KPMG Corporate Responsibility Vendor Cyber Rating & Cyber Score

kpmg.com

Add Your Compliance Badge

At KPMG, we help organizations make the difference for customers, employees, and investors. Our corporate responsibility efforts build on this momentum — bringing together our people, clients, and non-profits to build a future-ready workforce, create vibrant and healthy communities, grow the economy, and protect our capital markets. Follow this page to learn and discuss the dynamics shaping how businesses and the philanthropic sector grow our economy and create opportunity for all. We will share insights on corporate responsibility trends, including how businesses and nonprofits responsibly use AI to drive impact as well as the latest thinking on volunteering, philanthropy, and board service. We will also celebrate the incredible work

KCR A.I CyberSecurity Scoring

Scoring History

KCR

KPMG Corporate Responsibility CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

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Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

KCR 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 KCR

Incidents vs Financial Services Industry Avg (This Year)

No incidents recorded for KPMG Corporate Responsibility in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for KPMG Corporate Responsibility in 2026.

Incident Types KCR vs Financial Services Industry Avg (This Year)

No incidents recorded for KPMG Corporate Responsibility in 2026.

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

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SUBSIDIARY

KPMG Corporate Responsibility Subsidiaries

Parent Company

KCR

Financial Services

Website: https://kpmg.com/us/en/careers-and-culture/corporate-responsibility.html

Company Size: 10,000+ employees

No subsidiary data available for this company.

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NEWS

KPMG Corporate Responsibility 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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