What is the official website of Petzl Professional ?

The official website of Petzl Professional is https://www.petzl.com/INT/en/Professional.

What is Petzl Professional's cybersecurity risk score?

Petzl Professional has an AI-generated cybersecurity risk score of 764 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Petzl Professional experienced?

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

Has Petzl Professional been affected by any supply chain cyber incidents ?

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

Does Petzl Professional have SOC 2 Type 1 certification ?

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

Does Petzl Professional have SOC 2 Type 2 certification ?

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

Does Petzl Professional comply with GDPR ?

According to Rankiteo, Petzl Professional is not listed as GDPR compliant.

Does Petzl Professional have PCI DSS certification ?

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

Does Petzl Professional comply with HIPAA ?

According to Rankiteo, Petzl Professional is not compliant with HIPAA regulations.

Does Petzl Professional have ISO 27001 certification ?

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

Which industry does Petzl Professional operate in ?

Petzl Professional operates primarily in the Consumer Goods industry.

How many employees does Petzl Professional have ?

Petzl Professional employs approximately None employees people worldwide.

Does Petzl Professional own any subsidiaries ?

Petzl Professional presently has no subsidiaries across any sectors.

How many LinkedIn followers does Petzl Professional have ?

Petzl Professional's official LinkedIn profile has approximately 40,794 followers.

Does Petzl Professional have a Crunchbase profile ?

No, Petzl Professional does not have a profile on Crunchbase.

Does Petzl Professional have a LinkedIn profile ?

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

How many cybersecurity incidents has Petzl Professional experienced ?

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

How many peer or competitor companies does Petzl Professional have ?

Petzl Professional has an estimated 1,648 peer or competitor companies worldwide.

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Petzl Professional

Boost Score +25 with badge (5 left)

764

/1000

Fair

789

/1000

Fair

Petzl Professional Vendor Cyber Rating & Cyber Score

petzl.com

Add Your Compliance Badge

Equipment for work-at-height and rescue professionals: fall arrest, work positioning, personal escape, difficult to access and confined space rescue systems. Specialized headlamps for professionals.

Petzl Professional A.I CyberSecurity Scoring

Scoring History

Petzl Professional

Petzl Professional 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.

Petzl Professional 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 Petzl Professional

Incidents vs Consumer Goods Industry Avg (This Year)

No incidents recorded for Petzl Professional in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Petzl Professional in 2026.

Incident Types Petzl Professional vs Consumer Goods Industry Avg (This Year)

No incidents recorded for Petzl Professional in 2026.

Incident History - Petzl Professional (X = Date, Y = Severity)

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SUBSIDIARY

Petzl Professional Subsidiaries

Petzl Professional

Consumer Goods

Website: https://www.petzl.com/INT/en/Professional

Company Size: 501-1,000 employees

PetzlRetail

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Petzl Professional Similar Companies

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NEWS

Petzl Professional 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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