What is the official website of PKF O'Connor Davies ?

The official website of PKF O'Connor Davies is https://www.pkfod.com.

What is PKF O'Connor Davies's cybersecurity risk score?

PKF O'Connor Davies has an AI-generated cybersecurity risk score of 712 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has PKF O'Connor Davies experienced?

According to Rankiteo, PKF O'Connor Davies currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has PKF O'Connor Davies been affected by any supply chain cyber incidents ?

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

Does PKF O'Connor Davies have SOC 2 Type 1 certification ?

According to Rankiteo, PKF O'Connor Davies is not certified under SOC 2 Type 1.

Does PKF O'Connor Davies have SOC 2 Type 2 certification ?

According to Rankiteo, PKF O'Connor Davies does not hold a SOC 2 Type 2 certification.

Does PKF O'Connor Davies comply with GDPR ?

According to Rankiteo, PKF O'Connor Davies is not listed as GDPR compliant.

Does PKF O'Connor Davies have PCI DSS certification ?

According to Rankiteo, PKF O'Connor Davies does not currently maintain PCI DSS compliance.

Does PKF O'Connor Davies comply with HIPAA ?

According to Rankiteo, PKF O'Connor Davies is not compliant with HIPAA regulations.

Does PKF O'Connor Davies have ISO 27001 certification ?

According to Rankiteo,PKF O'Connor Davies is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does PKF O'Connor Davies operate in ?

PKF O'Connor Davies operates primarily in the Accounting industry.

How many employees does PKF O'Connor Davies have ?

PKF O'Connor Davies employs approximately 1,680 people worldwide.

Does PKF O'Connor Davies own any subsidiaries ?

PKF O'Connor Davies presently has no subsidiaries across any sectors.

How many LinkedIn followers does PKF O'Connor Davies have ?

PKF O'Connor Davies's official LinkedIn profile has approximately 41,715 followers.

What is the NAICS classification code for PKF O'Connor Davies ?

PKF O'Connor Davies is classified under the NAICS code 5412, which corresponds to Accounting, Tax Preparation, Bookkeeping, and Payroll Services.

Does PKF O'Connor Davies have a Crunchbase profile ?

No, PKF O'Connor Davies does not have a profile on Crunchbase.

Does PKF O'Connor Davies have a LinkedIn profile ?

Yes, PKF O'Connor Davies maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/pkf-oconnor-davies.

How many cybersecurity incidents has PKF O'Connor Davies experienced ?

As of June 23, 2026, Rankiteo reports that PKF O'Connor Davies has experienced 2 cybersecurity incidents.

How many peer or competitor companies does PKF O'Connor Davies have ?

PKF O'Connor Davies has an estimated 9,889 peer or competitor companies worldwide.

What types of cybersecurity incidents has PKF O'Connor Davies faced ?

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

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POD

Boost Score +25 with badge (5 left)

712

/1000

Moderate

737

/1000

Moderate

PKF O'Connor Davies Vendor Cyber Rating & Cyber Score

pkfod.com

Add Your Compliance Badge

PKF O’Connor Davies is a top-tier accounting, tax and advisory practice with a long history of serving domestic and international clients. “Know Greater Value” speaks to the confidence and guidance that our clients realize when they work with us. It reinforces our commitment to delivering the highest levels of value, expertise and service in everything we do. Our clients Know Greater Connections, Know Greater Insights and Know Greater Value. For more information, please visit pkfod.com

POD A.I CyberSecurity Scoring

Scoring History

POD

PKF O'Connor Davies CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

PKF O'Connor Davies

Ransomware

100

11/2020

PKF443072725

PKF O'Connor Davies

Breach

8/2019

PKF550091725

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A.I.

POD 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 POD

Incidents vs Accounting Industry Avg (This Year)

No incidents recorded for PKF O'Connor Davies in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for PKF O'Connor Davies in 2026.

Incident Types POD vs Accounting Industry Avg (This Year)

No incidents recorded for PKF O'Connor Davies in 2026.

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

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SUBSIDIARY

PKF O'Connor Davies Subsidiaries

Parent Company

POD

Accounting

Website: https://www.pkfod.com

Company Size: 1,001-5,000 employees

No subsidiary data available for this company.

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NEWS

PKF O'Connor Davies CyberSecurity News

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

June 05, 2025 07:00 AM

IANS

PKF O'Connor Davies Logo (PRNewsfoto/PKF O'Connor Davies). NEW YORK, June 5, 2025 /PRNewswire/ -- PKF O'Connor Davies ("PKFOD") ("the...

Read Article

April 28, 2025 07:00 AM

Patrick Moran Joins PKF O’Connor Davies as Partner

Patrick Moran has joined the organization as a Partner in its Risk Advisory Solutions practice. Based in PKF O'Connor Davies' Harrison, New York office.

Read Article

December 20, 2024 08:00 AM

PKF O’Connor Davies Opens New Office in Fort Lauderdale

The office's numerous amenities, including a designated meeting space and café, further enable the organization's client-centric focus and...

Read Article

December 20, 2024 08:00 AM

Global accounting firm opens Fort Lauderdale office

STORY HIGHLIGHTS. PKF O'Connor Davies opened a Fort Lauderdale office on Dec. 2. The office supports business growth in South Florida.

Read Article

November 19, 2024 08:00 AM

PKF secures investment from Investcorp, PSP Investments

US-based accounting, tax, and advisory firm PKF O'Connor Davies (PKF) has secured growth investment from Bahrain-based private equity group...

Read Article

November 27, 2023 08:00 AM

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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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