What is the official website of PetroChoice - Lubrication Solutions ?

The official website of PetroChoice - Lubrication Solutions is http://www.petrochoice.com.

What is PetroChoice - Lubrication Solutions's cybersecurity risk score?

PetroChoice - Lubrication Solutions has an AI-generated cybersecurity risk score of 747 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has PetroChoice - Lubrication Solutions experienced?

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

Has PetroChoice - Lubrication Solutions been affected by any supply chain cyber incidents ?

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

Does PetroChoice - Lubrication Solutions have SOC 2 Type 1 certification ?

According to Rankiteo, PetroChoice - Lubrication Solutions is not certified under SOC 2 Type 1.

Does PetroChoice - Lubrication Solutions have SOC 2 Type 2 certification ?

According to Rankiteo, PetroChoice - Lubrication Solutions does not hold a SOC 2 Type 2 certification.

Does PetroChoice - Lubrication Solutions comply with GDPR ?

According to Rankiteo, PetroChoice - Lubrication Solutions is not listed as GDPR compliant.

Does PetroChoice - Lubrication Solutions have PCI DSS certification ?

According to Rankiteo, PetroChoice - Lubrication Solutions does not currently maintain PCI DSS compliance.

Does PetroChoice - Lubrication Solutions comply with HIPAA ?

According to Rankiteo, PetroChoice - Lubrication Solutions is not compliant with HIPAA regulations.

Does PetroChoice - Lubrication Solutions have ISO 27001 certification ?

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

Which industry does PetroChoice - Lubrication Solutions operate in ?

PetroChoice - Lubrication Solutions operates primarily in the Oil and Gas industry.

How many employees does PetroChoice - Lubrication Solutions have ?

PetroChoice - Lubrication Solutions employs approximately 406 people worldwide.

Does PetroChoice - Lubrication Solutions own any subsidiaries ?

PetroChoice - Lubrication Solutions presently has no subsidiaries across any sectors.

How many LinkedIn followers does PetroChoice - Lubrication Solutions have ?

PetroChoice - Lubrication Solutions's official LinkedIn profile has approximately 5,289 followers.

Does PetroChoice - Lubrication Solutions have a Crunchbase profile ?

No, PetroChoice - Lubrication Solutions does not have a profile on Crunchbase.

Does PetroChoice - Lubrication Solutions have a LinkedIn profile ?

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

How many cybersecurity incidents has PetroChoice - Lubrication Solutions experienced ?

As of June 23, 2026, Rankiteo reports that PetroChoice - Lubrication Solutions has not experienced any cybersecurity incidents.

How many peer or competitor companies does PetroChoice - Lubrication Solutions have ?

PetroChoice - Lubrication Solutions has an estimated 10,952 peer or competitor companies worldwide.

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747

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Moderate

772

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Fair

PetroChoice - Lubrication Solutions Vendor Cyber Rating & Cyber Score

petrochoice.com

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PetroChoice is one of the largest producers, sellers and distributors of premium lubricants in the U.S. combining local expertise with high-quality service and strong customer relationships.

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Scoring History

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PetroChoice - Lubrication Solutions CyberSecurity News & History

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A.I.

PLS 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

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Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

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Underwriter Stats for PLS

Incidents vs Oil and Gas Industry Avg (This Year)

No incidents recorded for PetroChoice - Lubrication Solutions in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for PetroChoice - Lubrication Solutions in 2026.

Incident Types PLS vs Oil and Gas Industry Avg (This Year)

No incidents recorded for PetroChoice - Lubrication Solutions in 2026.

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

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SUBSIDIARY

PetroChoice - Lubrication Solutions Subsidiaries

PLS

Oil and Gas

Website: http://www.petrochoice.com

Company Size: 406

MooveChemical Manufacturing

CosanInvestment Management

ComgasOil and Gas

RumoTransportation, Logistics, Supply Chain and Storage

Fuse - Edital de Inovação RumoTruck Transportation

RaízenRetail Gasoline

Raízen PowerServiços para energia renovável

Moove PortugalOil and Gas

WP GroupOil and Gas

TirrenoChemical Manufacturing

Mobil by MooveOil and Gas

Moove UKOil and Gas

Comma OilOil and Gas

Moove FranceWholesale

Moove EuropeOil and Gas

Moove EspañaOil and Gas

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NEWS

PetroChoice - Lubrication Solutions CyberSecurity News

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

May 23, 2022 07:00 AM

Moove Acquires PetroChoice from Golden Gate Capital for $479M

SÃO PAULO & KING OF PRUSSIA, Pa. & SAN FRANCISCO–(BUSINESS WIRE)–Cosan S.A. (B3:CSAN3; NYSE: CSAN), one of Brazil's largest business groups...

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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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