What is the official website of Ingram Micro UCC Gulf ?

The official website of Ingram Micro UCC Gulf is https://ae.ingrammicro.com/.

What is Ingram Micro UCC Gulf's cybersecurity risk score?

Ingram Micro UCC Gulf 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 Ingram Micro UCC Gulf experienced?

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

Has Ingram Micro UCC Gulf been affected by any supply chain cyber incidents ?

According to Rankiteo, Ingram Micro UCC Gulf has been affected by multiple supply chain cyber incidents. The affected supply chain sources and their corresponding incident IDs are: Conduent (Incident ID: CON5792357110725) Salesforce (Incident ID: THEINGSALJAGORASYNDAV1769095448)

Does Ingram Micro UCC Gulf have SOC 2 Type 1 certification ?

According to Rankiteo, Ingram Micro UCC Gulf is not certified under SOC 2 Type 1.

Does Ingram Micro UCC Gulf have SOC 2 Type 2 certification ?

According to Rankiteo, Ingram Micro UCC Gulf does not hold a SOC 2 Type 2 certification.

Does Ingram Micro UCC Gulf comply with GDPR ?

According to Rankiteo, Ingram Micro UCC Gulf is not listed as GDPR compliant.

Does Ingram Micro UCC Gulf have PCI DSS certification ?

According to Rankiteo, Ingram Micro UCC Gulf does not currently maintain PCI DSS compliance.

Does Ingram Micro UCC Gulf comply with HIPAA ?

According to Rankiteo, Ingram Micro UCC Gulf is not compliant with HIPAA regulations.

Does Ingram Micro UCC Gulf have ISO 27001 certification ?

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

Which industry does Ingram Micro UCC Gulf operate in ?

Ingram Micro UCC Gulf operates primarily in the IT Services and IT Consulting industry.

How many employees does Ingram Micro UCC Gulf have ?

Ingram Micro UCC Gulf employs approximately None employees people worldwide.

Does Ingram Micro UCC Gulf own any subsidiaries ?

Ingram Micro UCC Gulf presently has no subsidiaries across any sectors.

How many LinkedIn followers does Ingram Micro UCC Gulf have ?

Ingram Micro UCC Gulf's official LinkedIn profile has approximately 887 followers.

What is the NAICS classification code for Ingram Micro UCC Gulf ?

Ingram Micro UCC Gulf is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

Does Ingram Micro UCC Gulf have a Crunchbase profile ?

No, Ingram Micro UCC Gulf does not have a profile on Crunchbase.

Does Ingram Micro UCC Gulf have a LinkedIn profile ?

Yes, Ingram Micro UCC Gulf maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/ingram-micro-gulf-ucc.

How many cybersecurity incidents has Ingram Micro UCC Gulf experienced ?

As of June 23, 2026, Rankiteo reports that Ingram Micro UCC Gulf has experienced 8 cybersecurity incidents.

How many peer or competitor companies does Ingram Micro UCC Gulf have ?

Ingram Micro UCC Gulf has an estimated 40,799 peer or competitor companies worldwide.

What types of cybersecurity incidents has Ingram Micro UCC Gulf faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Ransomware, Breach and Vulnerability.

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IMUG

Boost Score +25 with badge (5 left)

751

/1000

Fair

776

/1000

Fair

Ingram Micro UCC Gulf Vendor Cyber Rating & Cyber Score

ingrammicro.com

Add Your Compliance Badge

Communicating is at the very heart of business success. Give your customers the gift of simplified communication wherever they are, with leading end-to-end UCC solutions carefully selected by Ingram Micro.

IMUG A.I CyberSecurity Scoring

Scoring History

IMUG

Ingram Micro UCC Gulf CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Ingram Micro

Breach

1/2026

ING1769038099

Ingram Micro

Ransomware

100

7/2025

ING1770920806

Ingram Micro UCC Gu...

Ransomware

100

7/2025

ING180201810032...

Ingram Micro

Ransomware

100

7/2025

ING1771976571

Ingram Micro

Breach

100

6/2025

Conduent

CON579235711072...

Ingram Micro

Vulnerability

3/2025

THEINGDEPCIRTIM...

Ingram Micro

Ransomware

100

1/2025

Salesforce

THEINGSALJAGORA...

Ingram Micro

Breach

6/2024

ING1769002251

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A.I.

IMUG 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 IMUG

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

No incidents recorded for Ingram Micro UCC Gulf in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Ingram Micro UCC Gulf in 2026.

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

No incidents recorded for Ingram Micro UCC Gulf in 2026.

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

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SUBSIDIARY

Ingram Micro UCC Gulf Subsidiaries

IMUG

IT Services and IT Consulting

Website: https://ae.ingrammicro.com/

Company Size: 10,001+ employees

Ingram MicroIT Services and IT Consulting

CloudBlueIT Services and IT Consulting

Ingram Micro TürkiyeInformation Technology & Services

Ingram Micro BulgariaOutsourcing and Offshoring Consulting

Ingram Micro LifecycleIT Services and IT Consulting

OdinSoftware Development

Ingram Micro DC/POS EMEAIT-Dienstleistungen und IT-Beratung

Ensim CorporationSoftware Development

Ensim Automation SuiteSoftware Development

Ingram Micro DC/POS BeneluxIT-services en consultancy

NETXUSA - An Ingram Micro CompanyTelecommunications

De Karin MulderGeestelijke gezondheidszorg

Mamasu - An Ingram Micro CompanyProgram Development

SofCloudITIT Services and IT Consulting

Ingram Micro GulfIT Services and IT Consulting

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Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit https://www.lenovo.com, and read about the latest news via our StoryHub at https://news.lenovo.com/. To learn more about our career opportunities, visit our careers page at http://jobs.lenovo.com/.

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NEWS

Ingram Micro UCC Gulf CyberSecurity News

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

November 24, 2022 08:00 AM

Top 25 IT Distributors in the Middle East

Here are the top 25 IT value-added distributors that have shown dedication and leadership in supporting vendors, partners and customers in...

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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