What is the official website of Devoteam nexDigital ?

The official website of Devoteam nexDigital is http://nexdigital.fr.

What is Devoteam nexDigital's cybersecurity risk score?

Devoteam nexDigital has an AI-generated cybersecurity risk score of 749 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Devoteam nexDigital experienced?

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

Has Devoteam nexDigital been affected by any supply chain cyber incidents ?

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

Does Devoteam nexDigital have SOC 2 Type 1 certification ?

According to Rankiteo, Devoteam nexDigital is not certified under SOC 2 Type 1.

Does Devoteam nexDigital have SOC 2 Type 2 certification ?

According to Rankiteo, Devoteam nexDigital does not hold a SOC 2 Type 2 certification.

Does Devoteam nexDigital comply with GDPR ?

According to Rankiteo, Devoteam nexDigital is not listed as GDPR compliant.

Does Devoteam nexDigital have PCI DSS certification ?

According to Rankiteo, Devoteam nexDigital does not currently maintain PCI DSS compliance.

Does Devoteam nexDigital comply with HIPAA ?

According to Rankiteo, Devoteam nexDigital is not compliant with HIPAA regulations.

Does Devoteam nexDigital have ISO 27001 certification ?

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

Which industry does Devoteam nexDigital operate in ?

Devoteam nexDigital operates primarily in the IT Services and IT Consulting industry.

How many employees does Devoteam nexDigital have ?

Devoteam nexDigital employs approximately 21 people worldwide.

Does Devoteam nexDigital own any subsidiaries ?

Devoteam nexDigital presently has no subsidiaries across any sectors.

How many LinkedIn followers does Devoteam nexDigital have ?

Devoteam nexDigital's official LinkedIn profile has approximately 1,071 followers.

What is the NAICS classification code for Devoteam nexDigital ?

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

Does Devoteam nexDigital have a Crunchbase profile ?

No, Devoteam nexDigital does not have a profile on Crunchbase.

Does Devoteam nexDigital have a LinkedIn profile ?

Yes, Devoteam nexDigital maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/devoteam-nexdigital.

How many cybersecurity incidents has Devoteam nexDigital experienced ?

As of June 23, 2026, Rankiteo reports that Devoteam nexDigital has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Devoteam nexDigital have ?

Devoteam nexDigital has an estimated 40,783 peer or competitor companies worldwide.

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Devoteam nexDigital

Boost Score +25 with badge (5 left)

749

/1000

Moderate

774

/1000

Fair

Devoteam nexDigital Vendor Cyber Rating & Cyber Score

nexdigital.fr

Add Your Compliance Badge

Devoteam nexDigital est une société de conseil IT spécialisée dans la modernisation et la transformation des Systèmes d'Information. Nous accompagnons nos clients grands comptes sur 3 axes complémentaires : + Le conseil, pour des choix innovants de technologies et de methodologies afin d'apporter agilité, ouverture et performance aux SI, + L'expertise, pour l'accompagnement à la mise en oeuvre technologique et à la gouvernance, + La formation, pour partager notre savoir-faire et nos retours d'experience.

Devoteam nexDigital A.I CyberSecurity Scoring

Scoring History

Devoteam nexDigital

Devoteam nexDigital CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Devoteam nexDigital

Vulnerability

11/2025

DEV083220811122...

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A.I.

Devoteam nexDigital 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 Devoteam nexDigital

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

No incidents recorded for Devoteam nexDigital in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Devoteam nexDigital in 2026.

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

No incidents recorded for Devoteam nexDigital in 2026.

Incident History - Devoteam nexDigital (X = Date, Y = Severity)

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SUBSIDIARY

Devoteam nexDigital Subsidiaries

Devoteam nexDigital

IT Services and IT Consulting

Website: http://nexdigital.fr

Company Size: 21

DevoteamBusiness Consulting and Services

Devoteam Digital ImpulseBusiness Consulting and Services

Devoteam | Cyber TrustIT Services and IT Consulting

Devoteam M CloudIT Services and IT Consulting

Devoteam Data DrivenInformation Technology & Services

Devoteam Innovative Tech IT Services and IT Consulting

Devoteam FoundationIT Services and IT Consulting

Devoteam | AWS PartnerIT Services and IT Consulting

Devoteam S Team GmbHIT Services and IT Consulting

BeteamBusiness Consulting and Services

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NEWS

Devoteam nexDigital CyberSecurity News

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

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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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