What is the official website of Exertis Mobile ?

The official website of Exertis Mobile is http://store.exertis.co.uk.

What is Exertis Mobile's cybersecurity risk score?

Exertis Mobile has an AI-generated cybersecurity risk score of 751 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Exertis Mobile experienced?

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

Has Exertis Mobile been affected by any supply chain cyber incidents ?

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

Does Exertis Mobile have SOC 2 Type 1 certification ?

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

Does Exertis Mobile have SOC 2 Type 2 certification ?

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

Does Exertis Mobile comply with GDPR ?

According to Rankiteo, Exertis Mobile is not listed as GDPR compliant.

Does Exertis Mobile have PCI DSS certification ?

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

Does Exertis Mobile comply with HIPAA ?

According to Rankiteo, Exertis Mobile is not compliant with HIPAA regulations.

Does Exertis Mobile have ISO 27001 certification ?

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

Which industry does Exertis Mobile operate in ?

Exertis Mobile operates primarily in the IT Services and IT Consulting industry.

How many employees does Exertis Mobile have ?

Exertis Mobile employs approximately 0 people worldwide.

Does Exertis Mobile own any subsidiaries ?

Exertis Mobile presently has no subsidiaries across any sectors.

How many LinkedIn followers does Exertis Mobile have ?

Exertis Mobile's official LinkedIn profile has approximately 231 followers.

What is the NAICS classification code for Exertis Mobile ?

Exertis Mobile is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

Does Exertis Mobile have a Crunchbase profile ?

No, Exertis Mobile does not have a profile on Crunchbase.

Does Exertis Mobile have a LinkedIn profile ?

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

How many cybersecurity incidents has Exertis Mobile experienced ?

As of June 24, 2026, Rankiteo reports that Exertis Mobile has not experienced any cybersecurity incidents.

How many peer or competitor companies does Exertis Mobile have ?

Exertis Mobile has an estimated 40,800 peer or competitor companies worldwide.

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Exertis Mobile

Boost Score +25 with badge (5 left)

751

/1000

Fair

776

/1000

Fair

Exertis Mobile Vendor Cyber Rating & Cyber Score

exertis.co.uk

Add Your Compliance Badge

A true value-added mobile distributor dedicated to helping vendors, retail, mobile B2B & IT resellers grow their business by providing specialist sales support, logistics & supply chain services.

Exertis Mobile A.I CyberSecurity Scoring

Scoring History

Exertis Mobile

Exertis Mobile CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

Exertis Mobile 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 Exertis Mobile

Incidents vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Exertis Mobile in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Exertis Mobile in 2026.

Incident Types Exertis Mobile vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Exertis Mobile in 2026.

Incident History - Exertis Mobile (X = Date, Y = Severity)

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SUBSIDIARY

Exertis Mobile Subsidiaries

Exertis Mobile

IT Services and IT Consulting

Website: http://store.exertis.co.uk

Company Size: 0

Exertis UKIT Services and IT Consulting

DCC plcExecutive Offices

Certas EnergyOil and Gas

Certas Lubricant SolutionsOil and Gas

Gulf Retail UKOil and Gas

Flogas BritainUtilities

Flogas IrelandUtilities

Budget Energy NIOil and Gas

BUTAGAZOil and Gas

Fuel Card Services LtdOil and Gas

HBI LalehamPersonal Care Product Manufacturing

Exertis | JamMusicians

DCC VitalHospitals and Health Care

Fannin LtdMedical Equipment Manufacturing

VacSax LtdMedical Equipment Manufacturing

Espiner MedicalMedical Equipment Manufacturing

Williams MedicalMedical Equipment Manufacturing

Squadron Medical Ltd.Medical Equipment Manufacturing

DCC Energi A/SUtilities

HBI Health & Beauty InnovationsWellness and Fitness Services

Exertis FranceIT Services and IT Consulting

DCC Graduate ProgrammeExecutive Offices

Certas Energy Retail EuropeRetail

HBI Design PlusPersonal Care Product Manufacturing

HBI Thompson & CapperWellness and Fitness Services

BenegasOil and Gas

QstarRetail Gasoline

DSG Energy LimitedOil and Gas

Exertis Enterprise SolutionsIT Services and IT Consulting

Exertis GamingInformation Technology & Services

Exertis SmartTechIT Services and IT Consulting

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NEWS

Exertis Mobile CyberSecurity News

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

September 15, 2025 08:00 AM

Star Tribune

Partnership brings BlackFog's on-device anti data exfiltration (ADX) technology to Exertis Enterprise's channel, enabling organizations to...

Read Article

April 14, 2025 07:00 AM

Exertis bolsters AV proposition with new Sales Director

Specialist distributor Exertis has announced the appointment of Hannah Sharma as AV Sales Director. Hannah brings over a decade of...

Read Article

April 09, 2025 07:00 AM

Exertis increases circular strategy with acquisition of Apple-authorised repairer Group 8

Exertis IT has bought Apple Authorised Service Provider Group 8 to expand its presence in the circular economy. Ironically, Exertis itself...

Read Article

April 09, 2025 07:00 AM

Exertis IT Acquires Apple Authorised Service Provider, Group 8

Exertis IT is pleased to announce its acquisition of Group 8, an Apple Service Provider (ASP), as well as the leasing of a bigger facility.

Read Article

April 07, 2025 07:00 AM

Red Squid hits the 2025 takeover trail with acquisition of Comouter Security Technology

IT managed services provider Redsquid has acquired Computer Security Technology, its fourth takeover in the past 12 months.

Read Article

January 30, 2025 08:00 AM

Reorganising for growth

DCC's decision to focus solely on the energy sector, which now accounts for 74% of operating profits, has created uncertainty about the...

Read Article

December 20, 2024 08:00 AM

Exertis: Your Go-To Partner for Samsung Solutions

Exertis is doubling down on our specialist areas, particularly in the mobile space, to provide first-class support for the Samsung ecosystem...

Read Article

December 16, 2024 08:00 AM

Unlock the Full Potential of Samsung with Exertis

At Exertis, we are committed to providing unparalleled support for the Samsung ecosystem, covering Mobile, Tablet, Compute, Knox, Wearables,...

Read Article

November 27, 2024 08:00 AM

Exertis Cloud team grows with five new hires from key channel innovators

Exertis Cloud, a rapidly growing Cloud distributor, is proud to announce the addition of five new team members to their growing workforce.

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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