What is the official website of JustMe ?

The official website of JustMe is https://www.just-me.uk.

What is JustMe's cybersecurity risk score?

JustMe has an AI-generated cybersecurity risk score of 754 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has JustMe experienced?

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

Has JustMe been affected by any supply chain cyber incidents ?

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

Does JustMe have SOC 2 Type 1 certification ?

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

Does JustMe have SOC 2 Type 2 certification ?

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

Does JustMe comply with GDPR ?

According to Rankiteo, JustMe is not listed as GDPR compliant.

Does JustMe have PCI DSS certification ?

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

Does JustMe comply with HIPAA ?

According to Rankiteo, JustMe is not compliant with HIPAA regulations.

Does JustMe have ISO 27001 certification ?

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

Which industry does JustMe operate in ?

JustMe operates primarily in the Financial Services industry.

How many employees does JustMe have ?

JustMe employs approximately None employees people worldwide.

Does JustMe own any subsidiaries ?

JustMe presently has no subsidiaries across any sectors.

How many LinkedIn followers does JustMe have ?

JustMe's official LinkedIn profile has approximately 160 followers.

What is the NAICS classification code for JustMe ?

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

Does JustMe have a Crunchbase profile ?

No, JustMe does not have a profile on Crunchbase.

Does JustMe have a LinkedIn profile ?

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

How many cybersecurity incidents has JustMe experienced ?

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

How many peer or competitor companies does JustMe have ?

JustMe has an estimated 32,127 peer or competitor companies worldwide.

What types of cybersecurity incidents has JustMe faced ?

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

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JustMe

Boost Score +25 with badge (5 left)

754

/1000

Fair

779

/1000

Fair

JustMe Vendor Cyber Rating & Cyber Score

just-me.uk

Add Your Compliance Badge

JustMe is a mobile app that empowers consumers to confirm or deny whether a product application made in their name is them or not. Placing control directly in their hands. A real-time notification is sent to the rightful owner of the identity, allowing them to approve or reject the application as part of lender’s onboarding checks. This additional check at point of application helps prevent identity fraud and strengthen consumer trust.

JustMe A.I CyberSecurity Scoring

Scoring History

JustMe

JustMe CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

JustMe

Breach

10/2025

CIF103261010212...

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A.I.

JustMe 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 JustMe

Incidents vs Financial Services Industry Avg (This Year)

No incidents recorded for JustMe in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for JustMe in 2026.

Incident Types JustMe vs Financial Services Industry Avg (This Year)

No incidents recorded for JustMe in 2026.

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

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SUBSIDIARY

JustMe Subsidiaries

JustMe

Financial Services

Website: https://www.just-me.uk

Company Size: 51-200 employees

CifasFinancial Services

Cifas for Public SectorFinancial Services

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NEWS

JustMe 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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