What is the official website of ECODYNAMICS GmbH ?

The official website of ECODYNAMICS GmbH is https://www.ecodynamics.io.

What is ECODYNAMICS GmbH's cybersecurity risk score?

ECODYNAMICS GmbH has an AI-generated cybersecurity risk score of 749 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has ECODYNAMICS GmbH experienced?

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

Has ECODYNAMICS GmbH been affected by any supply chain cyber incidents ?

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

Does ECODYNAMICS GmbH have SOC 2 Type 1 certification ?

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

Does ECODYNAMICS GmbH have SOC 2 Type 2 certification ?

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

Does ECODYNAMICS GmbH comply with GDPR ?

According to Rankiteo, ECODYNAMICS GmbH is not listed as GDPR compliant.

Does ECODYNAMICS GmbH have PCI DSS certification ?

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

Does ECODYNAMICS GmbH comply with HIPAA ?

According to Rankiteo, ECODYNAMICS GmbH is not compliant with HIPAA regulations.

Does ECODYNAMICS GmbH have ISO 27001 certification ?

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

Which industry does ECODYNAMICS GmbH operate in ?

ECODYNAMICS GmbH operates primarily in the Business Consulting and Services industry.

How many employees does ECODYNAMICS GmbH have ?

ECODYNAMICS GmbH employs approximately 11 people worldwide.

Does ECODYNAMICS GmbH own any subsidiaries ?

ECODYNAMICS GmbH presently has no subsidiaries across any sectors.

How many LinkedIn followers does ECODYNAMICS GmbH have ?

ECODYNAMICS GmbH's official LinkedIn profile has approximately 1,181 followers.

What is the NAICS classification code for ECODYNAMICS GmbH ?

ECODYNAMICS GmbH is classified under the NAICS code 5416, which corresponds to Management, Scientific, and Technical Consulting Services.

Does ECODYNAMICS GmbH have a Crunchbase profile ?

No, ECODYNAMICS GmbH does not have a profile on Crunchbase.

Does ECODYNAMICS GmbH have a LinkedIn profile ?

Yes, ECODYNAMICS GmbH maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/ecodynamics-gmbh.

How many cybersecurity incidents has ECODYNAMICS GmbH experienced ?

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

How many peer or competitor companies does ECODYNAMICS GmbH have ?

ECODYNAMICS GmbH has an estimated 19,479 peer or competitor companies worldwide.

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749

/1000

Moderate

774

/1000

Fair

ECODYNAMICS GmbH Vendor Cyber Rating & Cyber Score

ecodynamics.io

Add Your Compliance Badge

ECODYNAMICS: Seit 2017 unterstützen die Expert:innen für datengetriebene Geschäftsmodelle, generative KI und Ökosysteme Unternehmen dabei, wie sie mit KI und digitalen Geschäftsmodellen die Veränderungen in den Märkten beherrschen und in diesen proaktiv und erfolgreich agieren. Seit 2021 ist das Unternehmen ein OpenAI/GPT-Early-Adopter und setzt diese Modelle in Kooperation mit Software-Unternehmen in Projekten ein. Zusätzlich besitzt das Unternehmen Know-how beim Einsatz der Modelle von Mistral, Anthropic, Cohere, Gemini und OpenSource LLM. Neben den Beratungsleistungen zur Einführung und praxisnahen Integration der generativen KI bietet ECODYNAMICS auch maßgeschneiderte Train The Trainer- und AI-Manager:innen Trainings, sowie Keynotes

ECODYNAMICS GmbH A.I CyberSecurity Scoring

Scoring History

ECODYNAMICS GmbH

ECODYNAMICS GmbH CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

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Impact

Seen

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No data available

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A.I.

ECODYNAMICS GmbH 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 ECODYNAMICS GmbH

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

No incidents recorded for ECODYNAMICS GmbH in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for ECODYNAMICS GmbH in 2026.

Incident Types ECODYNAMICS GmbH vs Business Consulting and Services Industry Avg (This Year)

No incidents recorded for ECODYNAMICS GmbH in 2026.

Incident History - ECODYNAMICS GmbH (X = Date, Y = Severity)

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SUBSIDIARY

ECODYNAMICS GmbH Subsidiaries

Parent Company

ECODYNAMICS GmbH

Business Consulting and Services

Website: https://www.ecodynamics.io

Company Size: 11

No subsidiary data available for this company.

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NEWS

ECODYNAMICS GmbH 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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