What is the official website of HCLTech – Poland ?

The official website of HCLTech – Poland is https://www.hcltech.com/poland/careers.

What is HCLTech – Poland's cybersecurity risk score?

HCLTech – Poland has an AI-generated cybersecurity risk score of 752 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has HCLTech – Poland experienced?

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

Has HCLTech – Poland been affected by any supply chain cyber incidents ?

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

Does HCLTech – Poland have SOC 2 Type 1 certification ?

According to Rankiteo, HCLTech – Poland is not certified under SOC 2 Type 1.

Does HCLTech – Poland have SOC 2 Type 2 certification ?

According to Rankiteo, HCLTech – Poland does not hold a SOC 2 Type 2 certification.

Does HCLTech – Poland comply with GDPR ?

According to Rankiteo, HCLTech – Poland is not listed as GDPR compliant.

Does HCLTech – Poland have PCI DSS certification ?

According to Rankiteo, HCLTech – Poland does not currently maintain PCI DSS compliance.

Does HCLTech – Poland comply with HIPAA ?

According to Rankiteo, HCLTech – Poland is not compliant with HIPAA regulations.

Does HCLTech – Poland have ISO 27001 certification ?

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

Which industry does HCLTech – Poland operate in ?

HCLTech – Poland operates primarily in the IT Services and IT Consulting industry.

How many employees does HCLTech – Poland have ?

HCLTech – Poland employs approximately None employees people worldwide.

Does HCLTech – Poland own any subsidiaries ?

HCLTech – Poland presently has no subsidiaries across any sectors.

How many LinkedIn followers does HCLTech – Poland have ?

HCLTech – Poland's official LinkedIn profile has approximately 1,862 followers.

What is the NAICS classification code for HCLTech – Poland ?

HCLTech – Poland is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

Does HCLTech – Poland have a Crunchbase profile ?

No, HCLTech – Poland does not have a profile on Crunchbase.

Does HCLTech – Poland have a LinkedIn profile ?

Yes, HCLTech – Poland maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/hcltech-poland.

How many cybersecurity incidents has HCLTech – Poland experienced ?

As of June 23, 2026, Rankiteo reports that HCLTech – Poland has not experienced any cybersecurity incidents.

How many peer or competitor companies does HCLTech – Poland have ?

HCLTech – Poland has an estimated 40,782 peer or competitor companies worldwide.

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HCLTech – Poland Vendor Cyber Rating & Cyber Score

hcltech.com

Add Your Compliance Badge

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending March 2025 totaled $13.8 billion. To learn how we can supercharge progress for you, visit hcltech.com. We have established a major presence in Poland, operating from three delivery centers across the country. For more than

HP A.I CyberSecurity Scoring

Scoring History

HCLTech – Poland CyberSecurity News & History

Past Incidents

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Entity

Type

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Impact

Seen

Blog Details

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A.I.

HP 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

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Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

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Underwriter Stats for HP

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

No incidents recorded for HCLTech – Poland in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for HCLTech – Poland in 2026.

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

No incidents recorded for HCLTech – Poland in 2026.

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

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SUBSIDIARY

HCLTech – Poland Subsidiaries

HP

IT Services and IT Consulting

Website: https://www.hcltech.com/poland/careers

Company Size: 1,001-5,000 employees

HCLTech Sri LankaIT Services and IT Consulting

HCLTechIT Services and IT Consulting

HCL EnterpriseIT Services and IT Consulting

HCL Infosystems Ltd.Information Technology & Services

HCL Infosystems TechnovationIT Services and IT Consulting

HCL HealthcareHospitals and Health Care

HCL TalentCareEducation Administration Programs

HCLTech VietnamIT Services and IT Consulting

HCLTech – JapanITサービス・ITコンサルティング

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NEWS

HCLTech – Poland 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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