What is the official website of TRACTEBEL ?

The official website of TRACTEBEL is https://www.tractebel-engie.com.

What is TRACTEBEL's cybersecurity risk score?

TRACTEBEL has an AI-generated cybersecurity risk score of 776 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has TRACTEBEL experienced?

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

Has TRACTEBEL been affected by any supply chain cyber incidents ?

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

Does TRACTEBEL have SOC 2 Type 1 certification ?

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

Does TRACTEBEL have SOC 2 Type 2 certification ?

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

Does TRACTEBEL comply with GDPR ?

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

Does TRACTEBEL have PCI DSS certification ?

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

Does TRACTEBEL comply with HIPAA ?

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

Does TRACTEBEL have ISO 27001 certification ?

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

Which industry does TRACTEBEL operate in ?

TRACTEBEL operates primarily in the Engineering Services industry.

How many employees does TRACTEBEL have ?

TRACTEBEL employs approximately 6,073 people worldwide.

Does TRACTEBEL own any subsidiaries ?

TRACTEBEL presently has no subsidiaries across any sectors.

How many LinkedIn followers does TRACTEBEL have ?

TRACTEBEL's official LinkedIn profile has approximately 400,934 followers.

What is the NAICS classification code for TRACTEBEL ?

TRACTEBEL is classified under the NAICS code 54139, which corresponds to Engineering Services.

Does TRACTEBEL have a Crunchbase profile ?

No, TRACTEBEL does not have a profile on Crunchbase.

Does TRACTEBEL have a LinkedIn profile ?

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

How many cybersecurity incidents has TRACTEBEL experienced ?

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

How many peer or competitor companies does TRACTEBEL have ?

TRACTEBEL has an estimated 1,450 peer or competitor companies worldwide.

What types of cybersecurity incidents has TRACTEBEL faced ?

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

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TRACTEBEL

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776

/1000

Fair

801

/1000

Good

TRACTEBEL Vendor Cyber Rating & Cyber Score

tractebel-engie.com

Add Your Compliance Badge

Tractebel is a global engineering and consulting company delivering integrated solutions for sustainable energy and built environment projects. Our expertise is trusted worldwide across multiple markets like nuclear, renewables, power & gas, electrical grids, hydropower & dams, water resources & supply, desalination, complex & high-tech buildings, transport infrastructures, and ports & waterways. By connecting strategy, design, engineering, social & environmental studies, project management and in-house digital application, we partner with companies and public authorities to create a positive impact on people and planet. Backed by more than 150 years of experience, today Tractebel is a community of over 5,500 passionate experts across

TRACTEBEL A.I CyberSecurity Scoring

Scoring History

TRACTEBEL

TRACTEBEL CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

TRACTEBEL

Breach

08/2023

ENG05311923

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A.I.

TRACTEBEL 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 TRACTEBEL

Incidents vs Engineering Services Industry Avg (This Year)

No incidents recorded for TRACTEBEL in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for TRACTEBEL in 2026.

Incident Types TRACTEBEL vs Engineering Services Industry Avg (This Year)

No incidents recorded for TRACTEBEL in 2026.

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

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SUBSIDIARY

TRACTEBEL Subsidiaries

TRACTEBEL

Engineering Services

Website: https://www.tractebel-engie.com

Company Size: 6,073

ENGIERenewable Energy Power Generation

ENGIE BrasilRenewable Energy Power Generation

Soluções ENGIE BrasilRenewables & Environment

ENGIE | Mercado Livre de EnergiaWind Electric Power Generation

ENGIE BrasilUtilities

GRDFOil and Gas

CEGIBATOil and Gas

AquassistancePhilanthropic Fundraising Services

ENGIE South East AsiaUtilities

ENGIE ItaliaUtilities

ENGIE PerúElectric Power Generation

Cofely Deutschland GmbHFacilities Services

Savelys (GDF SUEZ)Consumer Services

ENGIE DeutschlandUtilities

ENGIE Energie Nederland NVRenewable Energy Power Generation

ENGIE STOMO (SUEZ TRACTEBEL OPERATION & MAINTENANCE OMAN) L.L.COil and Gas

SHEM Société Hydro-Electrique du MidiHydroelectric Power Generation

ElengyOil and Gas

N-ALLO - ENGIE GROUPTelecommunications

İZGAZOil and Gas

CNR (Compagnie Nationale du Rhône)Electric Power Generation

ENGIE GREENSolar Electric Power Generation

Storengy - ENGIEOil and Gas

Storengy DeutschlandUtilities

ENGIE AfricaRenewable Energy Semiconductor Manufacturing

BYJC-FSAMachinery Manufacturing

ENGIE North America Inc.Renewable Energy Power Generation

ENGIE BelgiumUtilities

ENGIE THERMAL EuropeUtilities

Energy Market - ENGIE BelgiumBusiness Consulting and Services

ENGIE Energy SolutionsRenewables & Environment

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NEWS

TRACTEBEL CyberSecurity News

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

July 06, 2019 07:00 AM

Tractebel to lead JV for Harpo River hydro project, Pakistan

The German hydropower specialists from Tractebel previously completed the feasibility study for this future-oriented project back in 2011.

Read Article

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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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