What is the official website of Grupa Pracuj ?

The official website of Grupa Pracuj is http://www.pracujwgp.pl.

What is Grupa Pracuj's cybersecurity risk score?

Grupa Pracuj has an AI-generated cybersecurity risk score of 768 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Grupa Pracuj experienced?

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

Has Grupa Pracuj been affected by any supply chain cyber incidents ?

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

Does Grupa Pracuj have SOC 2 Type 1 certification ?

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

Does Grupa Pracuj have SOC 2 Type 2 certification ?

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

Does Grupa Pracuj comply with GDPR ?

According to Rankiteo, Grupa Pracuj is not listed as GDPR compliant.

Does Grupa Pracuj have PCI DSS certification ?

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

Does Grupa Pracuj comply with HIPAA ?

According to Rankiteo, Grupa Pracuj is not compliant with HIPAA regulations.

Does Grupa Pracuj have ISO 27001 certification ?

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

Which industry does Grupa Pracuj operate in ?

Grupa Pracuj operates primarily in the Technology, Information and Internet industry.

How many employees does Grupa Pracuj have ?

Grupa Pracuj employs approximately 594 people worldwide.

Does Grupa Pracuj own any subsidiaries ?

Grupa Pracuj presently has no subsidiaries across any sectors.

How many LinkedIn followers does Grupa Pracuj have ?

Grupa Pracuj's official LinkedIn profile has approximately 34,839 followers.

What is the NAICS classification code for Grupa Pracuj ?

Grupa Pracuj is classified under the NAICS code 513, which corresponds to Others.

Does Grupa Pracuj have a Crunchbase profile ?

Yes, Grupa Pracuj has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/grupa-pracuj.

Does Grupa Pracuj have a LinkedIn profile ?

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

How many cybersecurity incidents has Grupa Pracuj experienced ?

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

How many peer or competitor companies does Grupa Pracuj have ?

Grupa Pracuj has an estimated 14,827 peer or competitor companies worldwide.

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Grupa Pracuj

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768

/1000

Fair

793

/1000

Fair

Grupa Pracuj Vendor Cyber Rating & Cyber Score

pracujwgp.pl

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Grupa Pracuj is an expert in the field of online recruitment and a leading provider of technological solutions supporting the operations of HR departments. Since 2000, our company has been helping people find jobs through popular recruitment websites: Pracuj.pl in Poland and Rabota.ua in Ukraine. CBoth web portals are visited by over 4 million Internet users every month. Grupa Pracuj is also a leader in the field of HR-assisting technological solutions offered according to the SaaS (“Software as a Service”) model. Our ATS (Applicant Tracking System) called eRecruiter has been helping companies manage efficient and effective recruitment for years. Emplo is a platform facilitating communication, HR processes and effective staff

Grupa Pracuj A.I CyberSecurity Scoring

Scoring History

Grupa Pracuj

Grupa Pracuj CyberSecurity News & History

Past Incidents

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Type

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Impact

Seen

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No data available

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A.I.

Grupa Pracuj 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 Grupa Pracuj

Incidents vs Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for Grupa Pracuj in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Grupa Pracuj in 2026.

Incident Types Grupa Pracuj vs Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for Grupa Pracuj in 2026.

Incident History - Grupa Pracuj (X = Date, Y = Severity)

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SUBSIDIARY

Grupa Pracuj Subsidiaries

Grupa Pracuj

Technology, Information and Internet

Website: http://www.pracujwgp.pl

Company Size: 594

Pracuj.plHuman Resources Services

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NEWS

Grupa Pracuj CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

June 14, 2022 07:00 AM

White & Case Advises Grupa Pracuj on Acquisition of softgarden e-recruiting

Global law firm White & Case LLP has advised Poland's Grupa Pracuj S.A on its approximately €118 million acquisition of Germany-based...

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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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