What is the official website of Ordnance Survey ?

The official website of Ordnance Survey is http://www.os.uk.

What is Ordnance Survey's cybersecurity risk score?

Ordnance Survey has an AI-generated cybersecurity risk score of 741 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Ordnance Survey experienced?

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

Has Ordnance Survey been affected by any supply chain cyber incidents ?

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

Does Ordnance Survey have SOC 2 Type 1 certification ?

According to Rankiteo, Ordnance Survey is not certified under SOC 2 Type 1.

Does Ordnance Survey have SOC 2 Type 2 certification ?

According to Rankiteo, Ordnance Survey does not hold a SOC 2 Type 2 certification.

Does Ordnance Survey comply with GDPR ?

According to Rankiteo, Ordnance Survey is not listed as GDPR compliant.

Does Ordnance Survey have PCI DSS certification ?

According to Rankiteo, Ordnance Survey does not currently maintain PCI DSS compliance.

Does Ordnance Survey comply with HIPAA ?

According to Rankiteo, Ordnance Survey is not compliant with HIPAA regulations.

Does Ordnance Survey have ISO 27001 certification ?

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

Which industry does Ordnance Survey operate in ?

Ordnance Survey operates primarily in the IT Services and IT Consulting industry.

How many employees does Ordnance Survey have ?

Ordnance Survey employs approximately 1,456 people worldwide.

Does Ordnance Survey own any subsidiaries ?

Ordnance Survey presently has no subsidiaries across any sectors.

How many LinkedIn followers does Ordnance Survey have ?

Ordnance Survey's official LinkedIn profile has approximately 45,462 followers.

What is the NAICS classification code for Ordnance Survey ?

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

Does Ordnance Survey have a Crunchbase profile ?

No, Ordnance Survey does not have a profile on Crunchbase.

Does Ordnance Survey have a LinkedIn profile ?

Yes, Ordnance Survey maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/ordnance-survey.

How many cybersecurity incidents has Ordnance Survey experienced ?

As of June 24, 2026, Rankiteo reports that Ordnance Survey has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Ordnance Survey have ?

Ordnance Survey has an estimated 40,800 peer or competitor companies worldwide.

What types of cybersecurity incidents has Ordnance Survey faced ?

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

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Ordnance Survey

Boost Score +25 with badge (5 left)

741

/1000

Moderate

766

/1000

Fair

Ordnance Survey Vendor Cyber Rating & Cyber Score

os.uk

Add Your Compliance Badge

We help governments make smarter decisions that ensure our safety and security, we show businesses how to gain a location data edge and we help everyone experience the benefits of the world outside

Ordnance Survey A.I CyberSecurity Scoring

Scoring History

Ordnance Survey

Ordnance Survey CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Ordnance Survey

Breach

02/2020

ORD1214161222

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A.I.

Ordnance Survey 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 Ordnance Survey

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

No incidents recorded for Ordnance Survey in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Ordnance Survey in 2026.

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

No incidents recorded for Ordnance Survey in 2026.

Incident History - Ordnance Survey (X = Date, Y = Severity)

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SUBSIDIARY

Ordnance Survey Subsidiaries

Ordnance Survey

IT Services and IT Consulting

Website: http://www.os.uk

Company Size: 1,001-5,000 employees

GeovationInformation Services

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NEWS

Ordnance Survey CyberSecurity News

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

October 27, 2025 09:02 AM

Ordnance Survey: There’s a (m)app for that

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Read Article

September 08, 2025 07:00 AM

Startups helping the emergency services

The founders of two startups have developed apps to help the blue light community navigate more quickly to emergency calls.

Read Article

August 11, 2025 07:00 AM

The UK’s cartographer maps mission to help people and business

Feature Britain's Ordnance Survey (OS), founded in 1791, is interloping in the digital age. Minecraft, AR gaming, and EV charger locations...

Read Article

February 11, 2025 08:00 AM

MI5 body employed to ensure security of National Underground Asset Register

What is the NUAR? NUAR provides a single instantaneously accessible platform for developers to access information about underground water,...

Read Article

December 16, 2024 08:00 AM

Manish Jethwa predictions 2025

Manish shares his insight into ethical AI, geospatial data and the future of digital transformation.

Read Article

November 21, 2023 08:00 AM

Keeping data safe | Blog

We have robust controls and procedures to keep data secure for our customers and stakeholders. Especially in a rapidly evolving digital world.

Read Article

July 01, 2021 07:00 AM

Ordnance Survey creates 271 jobs - including its first head of mobile gaming

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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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