What is the official website of PXN Digital ?

The official website of PXN Digital is https://www.pxn.world/.

What is PXN Digital's cybersecurity risk score?

PXN Digital has an AI-generated cybersecurity risk score of 748 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has PXN Digital experienced?

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

Has PXN Digital been affected by any supply chain cyber incidents ?

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

Does PXN Digital have SOC 2 Type 1 certification ?

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

Does PXN Digital have SOC 2 Type 2 certification ?

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

Does PXN Digital comply with GDPR ?

According to Rankiteo, PXN Digital is not listed as GDPR compliant.

Does PXN Digital have PCI DSS certification ?

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

Does PXN Digital comply with HIPAA ?

According to Rankiteo, PXN Digital is not compliant with HIPAA regulations.

Does PXN Digital have ISO 27001 certification ?

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

Which industry does PXN Digital operate in ?

PXN Digital operates primarily in the Public Relations and Communications Services industry.

How many employees does PXN Digital have ?

PXN Digital employs approximately 1 people worldwide.

Does PXN Digital own any subsidiaries ?

PXN Digital presently has no subsidiaries across any sectors.

How many LinkedIn followers does PXN Digital have ?

PXN Digital's official LinkedIn profile has approximately 179 followers.

What is the NAICS classification code for PXN Digital ?

PXN Digital is classified under the NAICS code 54182, which corresponds to Public Relations Agencies.

Does PXN Digital have a Crunchbase profile ?

No, PXN Digital does not have a profile on Crunchbase.

Does PXN Digital have a LinkedIn profile ?

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

How many cybersecurity incidents has PXN Digital experienced ?

As of June 23, 2026, Rankiteo reports that PXN Digital has not experienced any cybersecurity incidents.

How many peer or competitor companies does PXN Digital have ?

PXN Digital has an estimated 4,609 peer or competitor companies worldwide.

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PXN Digital

Boost Score +25 with badge (5 left)

748

/1000

Moderate

773

/1000

Fair

PXN Digital Vendor Cyber Rating & Cyber Score

pxn.world

Add Your Compliance Badge

As the market-leading service for digital asset management, PXN is used by some of the world’s biggest companies, such as Sony Playstation, Warner Bros and Amazon to align their assets with their audiences. PXN has become the platform of choice for these global brands, as it’s the only service that combines a high-performance, secure infrastructure with a dedicated account team to support it. This managed, white-label platform is tailored to your needs. By letting us worry about global, secure delivery, your marketing and pr teams can focus on creativity, content and campaigns. Part of https://www.keywordsstudios.com

PXN Digital A.I CyberSecurity Scoring

Scoring History

PXN Digital

PXN Digital CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

No data available

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A.I.

PXN Digital 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 PXN Digital

Incidents vs Public Relations and Communications Services Industry Avg (This Year)

No incidents recorded for PXN Digital in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for PXN Digital in 2026.

Incident Types PXN Digital vs Public Relations and Communications Services Industry Avg (This Year)

No incidents recorded for PXN Digital in 2026.

Incident History - PXN Digital (X = Date, Y = Severity)

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SUBSIDIARY

PXN Digital Subsidiaries

PXN Digital

Public Relations and Communications Services

Website: https://www.pxn.world/

Company Size: 11-50 employees

Keywords StudiosComputer Games

Lakshya DigitalComputer Games

Helpshift, a Keywords TechnologySoftware Development

Studio GoboComputer Games

SperasoftComputer Games

Liquid DevelopmentComputer Games

d3tComputer Games

Forgotten EmpiresComputer Games

Waste CreativeAdvertising Services

AMC StudioComputer Games

Tantalus MediaComputer Games

Wicked WorkshopComputer Games

Heavy Iron Studios, Inc.Computer Games

WizcorpComputer Games

Fire Without SmokeAdvertising Services

Hardsuit LabsComputer Games

ICHI WorldwideAdvertising Services

gnet agencyAdvertising Services

Sound Lab a Keywords StudioEntertainment Providers

Binari SonoriTranslation and Localization

Coconut LizardSoftware Development

Syllabes - Studio & AcademyBroadcast Media Production and Distribution

Keywords Studios Germany GmbHComputer Games

JinglebellMedia Production

asrec - a Keywords studioTranslation and Localization

Mighty Games GroupComputer Games

Indigo Pearl UKPublic Relations and Communications Services

Player ResearchComputer Games

LacedEntertainment Providers

XLOC, INC.Computer Games

VOLTAEntertainment Providers

Smoking Gun Interactive Inc.Computer Games

Keywords Studios - MontréalComputer Games

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PXN Digital Similar Companies

International Mission of Mercy (IMM)

immusa.org

International Mission of Mercy (IMM) was founded in 1991 by Satish Mehtani, a veteran of disaster relief missions in Kuwait, Japan and at the World Trade Center following September 11, 2001. IMM is a certified 501(c)(3) nonprofit organization whose goals are to serve people of all cultures following natural or man-made disasters, including weather-related catastrophes and violent uprisings. Mr. Mehtani and his wife Sneh are honored and proud to live in freedom in the United States. To pay tribute to their good luck, they have pledged a portion of their resources from Mehtani Restaurant Group, a 30-year-old, national portfolio of seven fine-dining Indian, Pan-Asian and Italian restaurants, and an award-winning catered events business, to rebuild communities and care for affected populations around the world. The professional team committed to IMM includes renowned physicians in the fields of pediatrics, geriatrics, orthopedics, infectious disease, ophthalmology, pain management, obstetrics and gynecology, internal medicine, psychology, physical therapy, nuclear medicine and more. Also on the distinguished Board of Directors is a former U.S. Ambassador, a retired Major General USA, attorneys, the Manhattan Chamber of Commerce CEO and respected leaders in the community. IMM provides satellite feeding centers capable of serving up to 10,000 people per day, using foods and designing recipes common to the culture of the region.

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NEWS

PXN Digital 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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