What is the official website of North Highland ?

The official website of North Highland is https://www.northhighland.com/.

What is North Highland's cybersecurity risk score?

North Highland has an AI-generated cybersecurity risk score of 711 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has North Highland experienced?

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

Has North Highland been affected by any supply chain cyber incidents ?

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

Does North Highland have SOC 2 Type 1 certification ?

According to Rankiteo, North Highland is not certified under SOC 2 Type 1.

Does North Highland have SOC 2 Type 2 certification ?

According to Rankiteo, North Highland does not hold a SOC 2 Type 2 certification.

Does North Highland comply with GDPR ?

According to Rankiteo, North Highland is not listed as GDPR compliant.

Does North Highland have PCI DSS certification ?

According to Rankiteo, North Highland does not currently maintain PCI DSS compliance.

Does North Highland comply with HIPAA ?

According to Rankiteo, North Highland is not compliant with HIPAA regulations.

Does North Highland have ISO 27001 certification ?

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

Which industry does North Highland operate in ?

North Highland operates primarily in the Business Consulting and Services industry.

How many employees does North Highland have ?

North Highland employs approximately 2,070 people worldwide.

Does North Highland own any subsidiaries ?

North Highland presently has no subsidiaries across any sectors.

How many LinkedIn followers does North Highland have ?

North Highland's official LinkedIn profile has approximately 137,802 followers.

What is the NAICS classification code for North Highland ?

North Highland is classified under the NAICS code 5416, which corresponds to Management, Scientific, and Technical Consulting Services.

Does North Highland have a Crunchbase profile ?

No, North Highland does not have a profile on Crunchbase.

Does North Highland have a LinkedIn profile ?

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

How many cybersecurity incidents has North Highland experienced ?

As of June 23, 2026, Rankiteo reports that North Highland has experienced 1 cybersecurity incidents.

How many peer or competitor companies does North Highland have ?

North Highland has an estimated 19,483 peer or competitor companies worldwide.

What types of cybersecurity incidents has North Highland faced ?

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

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North Highland

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711

/1000

Moderate

736

/1000

Moderate

North Highland Vendor Cyber Rating & Cyber Score

northhighland.com

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North Highland helps businesses move from strategy to reality, taking a pragmatic and practical approach to build solutions that work and create impact that lasts. As the world’s leading change and transformation consultancy, our award-winning services – powered by a combination of talent and technology – turn client visions into real, measurable value.

North Highland A.I CyberSecurity Scoring

Scoring History

North Highland

North Highland CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

North Highland

Ransomware

5/2022

NOR408072725

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A.I.

North Highland 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 North Highland

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

No incidents recorded for North Highland in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for North Highland in 2026.

Incident Types North Highland vs Business Consulting and Services Industry Avg (This Year)

No incidents recorded for North Highland in 2026.

Incident History - North Highland (X = Date, Y = Severity)

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SUBSIDIARY

North Highland Subsidiaries

Parent Company

North Highland

Business Consulting and Services

Website: https://www.northhighland.com/

Company Size: 1,001-5,000 employees

No subsidiary data available for this company.

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NEWS

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

October 20, 2025 07:00 AM

North Highland Stock Plan Suit Settles for Nearly $2.4 Million

Former North Highland Co. employees negotiated a $2.375 million class settlement aimed at resolving litigation over an employee stock...

Read Article

September 30, 2025 07:00 AM

North Highland Appoints Ryan Buri and Alyssa Martin as Senior Managing Directors

North Highland, the leading change and transformation consultancy, welcomes Ryan Buri as senior managing director of Growth and Alyssa...

Read Article

July 09, 2025 07:00 AM

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Read Article

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Read Article

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Israeli cybersecurity co Zero Networks raises $55m

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Read Article

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Co-op cyber attack leaves island shop shelves empty

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Read Article

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North Highland Welcomes Jennifer Low As Public Sector UK Vice President

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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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