What is the official website of SkyTrans ?

The official website of SkyTrans is https://fptsoftware.com/about-us.

What is SkyTrans's cybersecurity risk score?

SkyTrans has an AI-generated cybersecurity risk score of 753 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has SkyTrans experienced?

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

Has SkyTrans been affected by any supply chain cyber incidents ?

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

Does SkyTrans have SOC 2 Type 1 certification ?

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

Does SkyTrans have SOC 2 Type 2 certification ?

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

Does SkyTrans comply with GDPR ?

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

Does SkyTrans have PCI DSS certification ?

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

Does SkyTrans comply with HIPAA ?

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

Does SkyTrans have ISO 27001 certification ?

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

Which industry does SkyTrans operate in ?

SkyTrans operates primarily in the Translation and Localization industry.

How many employees does SkyTrans have ?

SkyTrans employs approximately None employees people worldwide.

Does SkyTrans own any subsidiaries ?

SkyTrans presently has no subsidiaries across any sectors.

How many LinkedIn followers does SkyTrans have ?

SkyTrans's official LinkedIn profile has approximately 22 followers.

What is the NAICS classification code for SkyTrans ?

SkyTrans is classified under the NAICS code 54193, which corresponds to Translation and Interpretation Services.

Does SkyTrans have a Crunchbase profile ?

No, SkyTrans does not have a profile on Crunchbase.

Does SkyTrans have a LinkedIn profile ?

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

How many cybersecurity incidents has SkyTrans experienced ?

As of June 24, 2026, Rankiteo reports that SkyTrans has not experienced any cybersecurity incidents.

How many peer or competitor companies does SkyTrans have ?

SkyTrans has an estimated 830 peer or competitor companies worldwide.

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SkyTrans

Boost Score +25 with badge (5 left)

753

/1000

Fair

778

/1000

Fair

SkyTrans Vendor Cyber Rating & Cyber Score

fptsoftware.com

Add Your Compliance Badge

SkyTrans is an AI-powered enterprise translation platform developed by FPT Software, designed to help organizations communicate seamlessly across 100+ languages. Powered by GPT-5, SkyTrans elevates translation quality with contextual intelligence - producing results that are not only linguistically precise but also tailored by tone, domain, and purpose. From global proposals and reports to daily internal emails, SkyTrans ensures every message fits naturally within its professional context. The platform continuously evolves with breakthrough capabilities: • Live Speech - real-time multilingual translation for meetings and cross-border collaboration. • SkyTrans Plugin for MemoQ - allowing customizable prompts with GPT-5 for domain-specific

SkyTrans A.I CyberSecurity Scoring

Scoring History

SkyTrans

SkyTrans CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

SkyTrans 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 SkyTrans

Incidents vs Translation and Localization Industry Avg (This Year)

No incidents recorded for SkyTrans in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for SkyTrans in 2026.

Incident Types SkyTrans vs Translation and Localization Industry Avg (This Year)

No incidents recorded for SkyTrans in 2026.

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

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SUBSIDIARY

SkyTrans Subsidiaries

Parent Company

SkyTrans

Translation and Localization

Website: https://fptsoftware.com/about-us

Company Size: 1,001-5,000 employees

No subsidiary data available for this company.

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SkyTrans Similar Companies

TransPerfect

transperfect.com

TransPerfect helps organizations streamline global operations through language and AI solutions, advanced automation, and enterprise-grade technology integrations. Our GlobalLink® technology centralizes multilingual content workflows, connects with leading CMS, CRM, PIM, and marketing systems, and reduces the manual effort required to manage content across channels. Supported by a worldwide team of experts, we deliver accuracy, cultural relevance, and exceptional service in 200+ languages. More than 6,000 organizations rely on TransPerfect to automate processes, unify global content, and reach audiences worldwide. With 150+ offices on six continents, we combine global scale with continuous innovation to help brands grow with confidence.

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NEWS

SkyTrans 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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