What is the official website of Becker Accounting ?

The official website of Becker Accounting is https://www.becker.com.

What is Becker Accounting's cybersecurity risk score?

Becker Accounting has an AI-generated cybersecurity risk score of 765 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Becker Accounting experienced?

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

Has Becker Accounting been affected by any supply chain cyber incidents ?

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

Does Becker Accounting have SOC 2 Type 1 certification ?

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

Does Becker Accounting have SOC 2 Type 2 certification ?

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

Does Becker Accounting comply with GDPR ?

According to Rankiteo, Becker Accounting is not listed as GDPR compliant.

Does Becker Accounting have PCI DSS certification ?

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

Does Becker Accounting comply with HIPAA ?

According to Rankiteo, Becker Accounting is not compliant with HIPAA regulations.

Does Becker Accounting have ISO 27001 certification ?

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

Which industry does Becker Accounting operate in ?

Becker Accounting operates primarily in the Accounting industry.

How many employees does Becker Accounting have ?

Becker Accounting employs approximately None employees people worldwide.

Does Becker Accounting own any subsidiaries ?

Becker Accounting presently has no subsidiaries across any sectors.

How many LinkedIn followers does Becker Accounting have ?

Becker Accounting's official LinkedIn profile has approximately 86,388 followers.

What is the NAICS classification code for Becker Accounting ?

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

Does Becker Accounting have a Crunchbase profile ?

No, Becker Accounting does not have a profile on Crunchbase.

Does Becker Accounting have a LinkedIn profile ?

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

How many cybersecurity incidents has Becker Accounting experienced ?

As of June 23, 2026, Rankiteo reports that Becker Accounting has not experienced any cybersecurity incidents.

How many peer or competitor companies does Becker Accounting have ?

Becker Accounting has an estimated 9,887 peer or competitor companies worldwide.

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Becker Accounting

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765

/1000

Fair

790

/1000

Fair

Becker Accounting Vendor Cyber Rating & Cyber Score

becker.com

Add Your Compliance Badge

Becker provides CPA Exam Review, CMA Exam Review and CPE (Continued Professional Education) with expert instructors, high-quality content, flexible learning formats including on-demand resources and webcasts. Learn more about Becker Professional Education, part of Colibri Group, at www.becker.com. Accountants around the world count on Becker for the industry-leading tools and support they need to excel. And it all comes down to one thing: results. Results rooted in a tireless commitment to the success of our students. Crafting personalized learning experiences. Unleashing cutting-edge technologies. Relentlessly advocating for the industry as a whole. And simply doing whatever it takes. For all these reasons and more, more than 1 million

Becker Accounting A.I CyberSecurity Scoring

Scoring History

Becker Accounting

Becker Accounting CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

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Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

Becker Accounting 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 Becker Accounting

Incidents vs Accounting Industry Avg (This Year)

No incidents recorded for Becker Accounting in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Becker Accounting in 2026.

Incident Types Becker Accounting vs Accounting Industry Avg (This Year)

No incidents recorded for Becker Accounting in 2026.

Incident History - Becker Accounting (X = Date, Y = Severity)

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SUBSIDIARY

Becker Accounting Subsidiaries

Becker Accounting

Accounting

Website: https://www.becker.com

Company Size: 501-1,000 employees

Becker Professional EducationHigher Education

Colibri GroupProfessional Training and Coaching

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NEWS

Becker Accounting CyberSecurity News

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

January 02, 2025 08:00 AM

Why Cybersecurity Matters More than Ever for Plan Sponsors and 401(k) Plans

Retirement plan cybersecurity is critical as cyber threats rise and the DOL updates guidance for plan sponsors.

Read Article

November 21, 2024 08:49 AM

6 Accounting and Tax Trends in 2025: What CPAs Need to Know

Discover key accounting and tax trends for 2025, including new tax laws, technology impacts and the growing demand for advisory roles.

Read Article

September 02, 2024 01:17 PM

11 Tips to Pass the CPA Exam on Your First Try

Learn tips from someone who's gone through it and passed the CPA exam on their first try. Follow these tips and you'll be on your way to passing.

Read Article

May 21, 2024 07:51 AM

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Read Article

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Read Article

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Climbing the ranks

Here's a look at some recent changes in the Postal Service's leadership ranks. Judith Adams was named enterprise technology services director at USPS...

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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