What is the official website of Plante Moran ?

The official website of Plante Moran is http://www.plantemoran.com.

What is Plante Moran's cybersecurity risk score?

Plante Moran has an AI-generated cybersecurity risk score of 737 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Plante Moran experienced?

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

Has Plante Moran been affected by any supply chain cyber incidents ?

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

Does Plante Moran have SOC 2 Type 1 certification ?

According to Rankiteo, Plante Moran is not certified under SOC 2 Type 1.

Does Plante Moran have SOC 2 Type 2 certification ?

According to Rankiteo, Plante Moran does not hold a SOC 2 Type 2 certification.

Does Plante Moran comply with GDPR ?

According to Rankiteo, Plante Moran is not listed as GDPR compliant.

Does Plante Moran have PCI DSS certification ?

According to Rankiteo, Plante Moran does not currently maintain PCI DSS compliance.

Does Plante Moran comply with HIPAA ?

According to Rankiteo, Plante Moran is not compliant with HIPAA regulations.

Does Plante Moran have ISO 27001 certification ?

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

Which industry does Plante Moran operate in ?

Plante Moran operates primarily in the Accounting industry.

How many employees does Plante Moran have ?

Plante Moran employs approximately 4,670 people worldwide.

Does Plante Moran own any subsidiaries ?

Plante Moran presently has no subsidiaries across any sectors.

How many LinkedIn followers does Plante Moran have ?

Plante Moran's official LinkedIn profile has approximately 63,610 followers.

What is the NAICS classification code for Plante Moran ?

Plante Moran is classified under the NAICS code 5412, which corresponds to Accounting, Tax Preparation, Bookkeeping, and Payroll Services.

Does Plante Moran have a Crunchbase profile ?

No, Plante Moran does not have a profile on Crunchbase.

Does Plante Moran have a LinkedIn profile ?

Yes, Plante Moran maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/plante-moran.

How many cybersecurity incidents has Plante Moran experienced ?

As of June 24, 2026, Rankiteo reports that Plante Moran has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Plante Moran have ?

Plante Moran has an estimated 9,897 peer or competitor companies worldwide.

What types of cybersecurity incidents has Plante Moran faced ?

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

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Plante Moran

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737

/1000

Moderate

762

/1000

Fair

Plante Moran Vendor Cyber Rating & Cyber Score

plantemoran.com

Add Your Compliance Badge

Co-founder Frank Moran often referred to our firm as “a people firm disguised as an accounting firm.” Why? Because people are at the core of everything we do. At Plante Moran, business is never “just business” — it’s personal. It’s personal to our clients, and it’s personal to us. Our clients count on us to advance their businesses, chart new territories, build stronger strategies, and — most importantly — help support those who count on them. And with over 3,800 professionals in 23 locations across the East Coast, Midwest, Rocky Mountain Region, and internationally — and a legacy that’s 100 years strong — we deliver. We’re proud to be one of the nation’s largest audit, tax, consulting, and wealth management firms. #PlanteMoranProud

Plante Moran A.I CyberSecurity Scoring

Scoring History

Plante Moran

Plante Moran CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Plante Moran

Breach

4/2023

PLA153072625

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A.I.

Plante Moran 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 Plante Moran

Incidents vs Accounting Industry Avg (This Year)

No incidents recorded for Plante Moran in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Plante Moran in 2026.

Incident Types Plante Moran vs Accounting Industry Avg (This Year)

No incidents recorded for Plante Moran in 2026.

Incident History - Plante Moran (X = Date, Y = Severity)

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SUBSIDIARY

Plante Moran Subsidiaries

Plante Moran

Accounting

Website: http://www.plantemoran.com

Company Size: 1,001-5,000 employees

Plante Moran Wealth ManagementFinancial Services

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NEWS

Plante Moran CyberSecurity News

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

December 29, 2025 08:00 AM

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Plante Moran promotes 26 to partner

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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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