What is the official website of EisnerAmper ?

The official website of EisnerAmper is http://www.eisneramper.com.

What is EisnerAmper's cybersecurity risk score?

EisnerAmper has an AI-generated cybersecurity risk score of 734 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has EisnerAmper experienced?

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

Has EisnerAmper been affected by any supply chain cyber incidents ?

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

Does EisnerAmper have SOC 2 Type 1 certification ?

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

Does EisnerAmper have SOC 2 Type 2 certification ?

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

Does EisnerAmper comply with GDPR ?

According to Rankiteo, EisnerAmper is not listed as GDPR compliant.

Does EisnerAmper have PCI DSS certification ?

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

Does EisnerAmper comply with HIPAA ?

According to Rankiteo, EisnerAmper is not compliant with HIPAA regulations.

Does EisnerAmper have ISO 27001 certification ?

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

Which industry does EisnerAmper operate in ?

EisnerAmper operates primarily in the Accounting industry.

How many employees does EisnerAmper have ?

EisnerAmper employs approximately 4,118 people worldwide.

Does EisnerAmper own any subsidiaries ?

EisnerAmper presently has no subsidiaries across any sectors.

How many LinkedIn followers does EisnerAmper have ?

EisnerAmper's official LinkedIn profile has approximately 79,955 followers.

What is the NAICS classification code for EisnerAmper ?

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

Does EisnerAmper have a Crunchbase profile ?

No, EisnerAmper does not have a profile on Crunchbase.

Does EisnerAmper have a LinkedIn profile ?

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

How many cybersecurity incidents has EisnerAmper experienced ?

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

How many peer or competitor companies does EisnerAmper have ?

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

What types of cybersecurity incidents has EisnerAmper faced ?

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

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EisnerAmper

Boost Score +25 with badge (5 left)

734

/1000

Moderate

759

/1000

Fair

EisnerAmper Vendor Cyber Rating & Cyber Score

eisneramper.com

Add Your Compliance Badge

EisnerAmper, one of the largest business consulting firms in the world, is comprised of EisnerAmper LLP, a licensed independent CPA firm that provides client attest services; and Eisner Advisory Group LLC, an alternative practice structure that provides business advisory and non-attest services in accordance with all applicable laws, regulations, standards and codes of conduct. Clients are in all business sectors and leverage a complete menu of service offerings. Eisner Advisory Group LLC and its subsidiary entities are not licensed CPA firms. Our combined entities include more than 450 partners and 4,500 employees. For more information, please visit eisneramper.com, and be sure to follow us on LinkedIn, X, Instagram, Facebook, YouTube, &

EisnerAmper A.I CyberSecurity Scoring

Scoring History

EisnerAmper

EisnerAmper CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

EisnerAmper

Breach

9/2023

EIS141072825

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A.I.

EisnerAmper 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 EisnerAmper

Incidents vs Accounting Industry Avg (This Year)

No incidents recorded for EisnerAmper in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for EisnerAmper in 2026.

Incident Types EisnerAmper vs Accounting Industry Avg (This Year)

No incidents recorded for EisnerAmper in 2026.

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

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SUBSIDIARY

EisnerAmper Subsidiaries

EisnerAmper

Accounting

Website: http://www.eisneramper.com

Company Size: 1,001-5,000 employees

EisnerAmper GlobalAccounting

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NEWS

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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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