What is the official website of N26 Support ?

The official website of N26 Support is https://support.n26.com.

What is N26 Support's cybersecurity risk score?

N26 Support has an AI-generated cybersecurity risk score of 771 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has N26 Support experienced?

According to Rankiteo, N26 Support currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has N26 Support been affected by any supply chain cyber incidents ?

According to Rankiteo, N26 Support has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does N26 Support have SOC 2 Type 1 certification ?

According to Rankiteo, N26 Support is not certified under SOC 2 Type 1.

Does N26 Support have SOC 2 Type 2 certification ?

According to Rankiteo, N26 Support does not hold a SOC 2 Type 2 certification.

Does N26 Support comply with GDPR ?

According to Rankiteo, N26 Support is not listed as GDPR compliant.

Does N26 Support have PCI DSS certification ?

According to Rankiteo, N26 Support does not currently maintain PCI DSS compliance.

Does N26 Support comply with HIPAA ?

According to Rankiteo, N26 Support is not compliant with HIPAA regulations.

Does N26 Support have ISO 27001 certification ?

According to Rankiteo,N26 Support is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does N26 Support operate in ?

N26 Support operates primarily in the Financial Services industry.

How many employees does N26 Support have ?

N26 Support employs approximately None employees people worldwide.

Does N26 Support own any subsidiaries ?

N26 Support presently has no subsidiaries across any sectors.

How many LinkedIn followers does N26 Support have ?

N26 Support's official LinkedIn profile has approximately followers.

What is the NAICS classification code for N26 Support ?

N26 Support is classified under the NAICS code 52, which corresponds to Finance and Insurance.

Does N26 Support have a Crunchbase profile ?

No, N26 Support does not have a profile on Crunchbase.

Does N26 Support have a LinkedIn profile ?

Yes, N26 Support maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/n26support.

How many cybersecurity incidents has N26 Support experienced ?

As of June 23, 2026, Rankiteo reports that N26 Support has experienced 3 cybersecurity incidents.

How many peer or competitor companies does N26 Support have ?

N26 Support has an estimated 32,132 peer or competitor companies worldwide.

What types of cybersecurity incidents has N26 Support faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Cyber Attack.

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N26 Support

Boost Score +25 with badge (5 left)

771

/1000

Fair

796

/1000

Fair

N26 Support Vendor Cyber Rating & Cyber Score

n26.com

Add Your Compliance Badge

About us Welcome to the official N26 Support page on LinkedIn. We’re here to help you with issues you might experience while using the N26 app or your N26 bank account. Our goal is to make sure you get the right support, safely and quickly. If you’re having trouble accessing your account or using the app, you can contact us here or through our other verified N26 social media channels by sending us a private message directly. To keep your information safe, please don’t share personal details or account information in public posts or comments. For the fastest and most secure support, please reach out through the in-app chat once you’re logged in to your N26 app. This allows us to verify your identity and provide personalized assistance.

N26 Support A.I CyberSecurity Scoring

Scoring History

N26 Support

N26 Support CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

N26

Cyber Attack

1/2024

N26REV177686088...

N26

Cyber Attack

1/2023

N26REVWIS177688...

N26

Cyber Attack

1/2022

N261776853591

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A.I.

N26 Support 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 N26 Support

Incidents vs Financial Services Industry Avg (This Year)

No incidents recorded for N26 Support in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for N26 Support in 2026.

Incident Types N26 Support vs Financial Services Industry Avg (This Year)

No incidents recorded for N26 Support in 2026.

Incident History - N26 Support (X = Date, Y = Severity)

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SUBSIDIARY

N26 Support Subsidiaries

N26 Support

Financial Services

Website: https://support.n26.com

Company Size: 1,001-5,000 employees

N26Financial Services

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NEWS

N26 Support 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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