What is the official website of SK shieldus ?

The official website of SK shieldus is http://www.skshieldus.com.

What is SK shieldus's cybersecurity risk score?

SK shieldus has an AI-generated cybersecurity risk score of 740 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has SK shieldus experienced?

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

Has SK shieldus been affected by any supply chain cyber incidents ?

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

Does SK shieldus have SOC 2 Type 1 certification ?

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

Does SK shieldus have SOC 2 Type 2 certification ?

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

Does SK shieldus comply with GDPR ?

According to Rankiteo, SK shieldus is not listed as GDPR compliant.

Does SK shieldus have PCI DSS certification ?

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

Does SK shieldus comply with HIPAA ?

According to Rankiteo, SK shieldus is not compliant with HIPAA regulations.

Does SK shieldus have ISO 27001 certification ?

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

Which industry does SK shieldus operate in ?

SK shieldus operates primarily in the Information Technology & Services industry.

How many employees does SK shieldus have ?

SK shieldus employs approximately 629 people worldwide.

Does SK shieldus own any subsidiaries ?

SK shieldus presently has no subsidiaries across any sectors.

How many LinkedIn followers does SK shieldus have ?

SK shieldus's official LinkedIn profile has approximately 1,186 followers.

Does SK shieldus have a Crunchbase profile ?

No, SK shieldus does not have a profile on Crunchbase.

Does SK shieldus have a LinkedIn profile ?

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

How many cybersecurity incidents has SK shieldus experienced ?

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

How many peer or competitor companies does SK shieldus have ?

SK shieldus has an estimated 10,976 peer or competitor companies worldwide.

What types of cybersecurity incidents has SK shieldus faced ?

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

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SK shieldus

Boost Score +25 with badge (5 left)

740

/1000

Moderate

765

/1000

Fair

SK shieldus Vendor Cyber Rating & Cyber Score

skshieldus.com

Add Your Compliance Badge

SK shieldus

SK shieldus A.I CyberSecurity Scoring

Scoring History

SK shieldus

SK shieldus CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

SK shieldus

Cyber Attack

100

6/2026

SKS1781828808

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A.I.

SK shieldus 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 SK shieldus

Incidents vs Information Technology & Services Industry Avg (This Year)

SK shieldus has 45.36% fewer incidents than the average of same-industry companies with at least one recorded incident.

Incidents vs All-Companies Average (This Year)

SK shieldus has 5.66% fewer incidents than the average of all companies with at least one recorded incident.

Incident Types SK shieldus vs Information Technology & Services Industry Avg (This Year)

SK shieldus reported 1 incidents this year: 1 cyber attacks, 0 ransomware, 0 vulnerabilities, 0 data breaches, compared to industry peers with at least 1 incident.

Incident History - SK shieldus (X = Date, Y = Severity)

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SUBSIDIARY

SK shieldus Subsidiaries

Parent Company

SK shieldus

Information Technology & Services

Website: http://www.skshieldus.com

Company Size: 5,001-10,000 employees

No subsidiary data available for this company.

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NEWS

SK shieldus 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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