What is the official website of Baker Tilly Moldova ?

The official website of Baker Tilly Moldova is http://www.bakertilly.md/home.aspx.

What is Baker Tilly Moldova's cybersecurity risk score?

Baker Tilly Moldova has an AI-generated cybersecurity risk score of 754 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Baker Tilly Moldova experienced?

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

Has Baker Tilly Moldova been affected by any supply chain cyber incidents ?

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

Does Baker Tilly Moldova have SOC 2 Type 1 certification ?

According to Rankiteo, Baker Tilly Moldova is not certified under SOC 2 Type 1.

Does Baker Tilly Moldova have SOC 2 Type 2 certification ?

According to Rankiteo, Baker Tilly Moldova does not hold a SOC 2 Type 2 certification.

Does Baker Tilly Moldova comply with GDPR ?

According to Rankiteo, Baker Tilly Moldova is not listed as GDPR compliant.

Does Baker Tilly Moldova have PCI DSS certification ?

According to Rankiteo, Baker Tilly Moldova does not currently maintain PCI DSS compliance.

Does Baker Tilly Moldova comply with HIPAA ?

According to Rankiteo, Baker Tilly Moldova is not compliant with HIPAA regulations.

Does Baker Tilly Moldova have ISO 27001 certification ?

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

Which industry does Baker Tilly Moldova operate in ?

Baker Tilly Moldova operates primarily in the Financial Services industry.

How many employees does Baker Tilly Moldova have ?

Baker Tilly Moldova employs approximately 0 people worldwide.

Does Baker Tilly Moldova own any subsidiaries ?

Baker Tilly Moldova presently has no subsidiaries across any sectors.

How many LinkedIn followers does Baker Tilly Moldova have ?

Baker Tilly Moldova's official LinkedIn profile has approximately 808 followers.

What is the NAICS classification code for Baker Tilly Moldova ?

Baker Tilly Moldova is classified under the NAICS code 52, which corresponds to Finance and Insurance.

Does Baker Tilly Moldova have a Crunchbase profile ?

No, Baker Tilly Moldova does not have a profile on Crunchbase.

Does Baker Tilly Moldova have a LinkedIn profile ?

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

How many cybersecurity incidents has Baker Tilly Moldova experienced ?

As of June 23, 2026, Rankiteo reports that Baker Tilly Moldova has not experienced any cybersecurity incidents.

How many peer or competitor companies does Baker Tilly Moldova have ?

Baker Tilly Moldova has an estimated 32,131 peer or competitor companies worldwide.

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754

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Fair

779

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Fair

Baker Tilly Moldova Vendor Cyber Rating & Cyber Score

bakertilly.md

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Baker Tilly South East Europe is a full-service accounting and advisory firm, that offers industry specialised services in assurance, tax and advisory. Every day, 350 professionals located in seven offices throughout South East Europe (Cyprus, Greece, Romania, Bulgaria and Moldova) share their expertise to accelerate your business growth. At Baker Tilly, we are ready now, for tomorrow’s challenges. We believe in the power of great relationships, by leading and listening to great conversations. We channel change into progress for great futures. Baker Tilly South East Europe is an independent member of Baker Tilly International. Baker Tilly International is one of the world’s leading networks, uniting independent companies to provide

BTM A.I CyberSecurity Scoring

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Baker Tilly Moldova CyberSecurity News & History

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A.I.

BTM Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

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A.I Risk Score Likelihood 3 - 6 - 9 months

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Underwriter Stats for BTM

Incidents vs Financial Services Industry Avg (This Year)

No incidents recorded for Baker Tilly Moldova in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Baker Tilly Moldova in 2026.

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

No incidents recorded for Baker Tilly Moldova in 2026.

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

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SUBSIDIARY

Baker Tilly Moldova Subsidiaries

BTM

Financial Services

Website: http://www.bakertilly.md/home.aspx

Company Size: 0

Baker TillyAccounting

Baker Tilly USAccounting

Baker Tilly CanadaAccounting

Baker Tilly MajerBusiness Consulting and Services

Baker Tilly KuwaitAccounting

Baker Tilly Hilal & Abdel GhaffarFinancial Services

Baker Tilly NetherlandsFinancial Services

Baker Tilly FranceBusiness Consulting and Services

Baker Tilly MalaysiaAccounting

Baker Tilly SingaporeAccounting

Baker Tilly MéxicoBusiness Consulting and Services

Baker Tilly Central AfricaAccounting

Mundia and Mudhara Legal PractitionersLegal Services

Baker Tilly BrasilAccounting

Baker Tilly AzerbaijanFinancial Services

Baker Tilly PortugalBusiness Consulting and Services

Baker Tilly GermanyBusiness Consulting and Services

Baker Tilly Staples RodwayAccounting

Baker Tilly LuxembourgFinancial Services

Baker Tilly Chile Auditores ConsultoresBusiness Consulting and Services

Baker Tilly BelgiumBusiness Consulting and Services

Baker Tilly JordanAccounting

Baker Tilly República DominicanaAccounting

Baker Tilly GreeceFinancial Services

Baker Tilly CyprusFinancial Services

Baker Tilly UkraineBusiness Consulting and Services

Baker Tilly UruguayBusiness Consulting and Services

Baker Tilly Costa RicaBusiness Consulting and Services

Baker Tilly ArgentinaAccounting

Baker Tilly ItalyProfessional Services

Baker Tilly EcuadorAccounting

Baker Tilly KenyaAccounting

Baker Tilly RomaniaFinancial Services

Baker Tilly Channel Islands LimitedAccounting

Baker Tilly DenmarkAccounting

Baker Tilly BulgariaFinancial Services

Baker Tilly KazakhstanAccounting

Baker Tilly JapanAccounting

Strategy and Management ConsultingBusiness Consulting and Services

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NEWS

Baker Tilly Moldova CyberSecurity News

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

March 04, 2025 08:00 AM

Cybersecurity in asset management: a growing battlefield

Russell Sommers, principal at Baker Tilly, on the cyber risks asset managers face and how to mitigate them. Anika Sidhika March 4, 2025.

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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