What is the official website of Greenvelope.com ?

The official website of Greenvelope.com is https://http://www.greenvelope.com.

What is Greenvelope.com's cybersecurity risk score?

Greenvelope.com has an AI-generated cybersecurity risk score of 736 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Greenvelope.com experienced?

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

Has Greenvelope.com been affected by any supply chain cyber incidents ?

According to Rankiteo, Greenvelope.com has been affected by a supply chain cyber incident involving LogMeIn, with the incident ID GRELOG1769181925.

Does Greenvelope.com have SOC 2 Type 1 certification ?

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

Does Greenvelope.com have SOC 2 Type 2 certification ?

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

Does Greenvelope.com comply with GDPR ?

According to Rankiteo, Greenvelope.com is not listed as GDPR compliant.

Does Greenvelope.com have PCI DSS certification ?

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

Does Greenvelope.com comply with HIPAA ?

According to Rankiteo, Greenvelope.com is not compliant with HIPAA regulations.

Does Greenvelope.com have ISO 27001 certification ?

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

Which industry does Greenvelope.com operate in ?

Greenvelope.com operates primarily in the Information Technology & Services industry.

How many employees does Greenvelope.com have ?

Greenvelope.com employs approximately 29 people worldwide.

Does Greenvelope.com own any subsidiaries ?

Greenvelope.com presently has no subsidiaries across any sectors.

How many LinkedIn followers does Greenvelope.com have ?

Greenvelope.com's official LinkedIn profile has approximately 486 followers.

Does Greenvelope.com have a Crunchbase profile ?

No, Greenvelope.com does not have a profile on Crunchbase.

Does Greenvelope.com have a LinkedIn profile ?

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

How many cybersecurity incidents has Greenvelope.com experienced ?

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

How many peer or competitor companies does Greenvelope.com have ?

Greenvelope.com has an estimated 10,977 peer or competitor companies worldwide.

What types of cybersecurity incidents has Greenvelope.com faced ?

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

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Greenvelope.com

Boost Score +25 with badge (5 left)

736

/1000

Moderate

761

/1000

Fair

Greenvelope.com Vendor Cyber Rating & Cyber Score

greenvelope.com

Add Your Compliance Badge

Greenvelope strives to deliver the most elegant electronic invitation service by emulating the experience of opening a "traditional" printed invitation. By creating a positive online experience, Greenvelope hopes more hosts will consider sending invitations electronically for formal events – to help save trees, and additionally save time and money. To express Greenvelope's commitment towards this goal, they donate a significant percentage of every sale to Mountains to Sounds, a non-profit organization that maintains forests. Together we can invite a greener future.

Greenvelope.com A.I CyberSecurity Scoring

Scoring History

Greenvelope.com

Greenvelope.com CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Greenvelope.com

Cyber Attack

1/2026

LogMeIn

GRELOG176918192...

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A.I.

Greenvelope.com 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 Greenvelope.com

Incidents vs Information Technology & Services Industry Avg (This Year)

Greenvelope.com has 45.36% fewer incidents than the average of same-industry companies with at least one recorded incident.

Incidents vs All-Companies Average (This Year)

Greenvelope.com has 5.66% fewer incidents than the average of all companies with at least one recorded incident.

Incident Types Greenvelope.com vs Information Technology & Services Industry Avg (This Year)

Greenvelope.com reported 1 incidents this year: 1 cyber attacks, 0 ransomware, 0 vulnerabilities, 0 data breaches, compared to industry peers with at least 1 incident.

Incident History - Greenvelope.com (X = Date, Y = Severity)

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SUBSIDIARY

Greenvelope.com Subsidiaries

Parent Company

Greenvelope.com

Information Technology & Services

Website: https://http://www.greenvelope.com

Company Size: 29

No subsidiary data available for this company.

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NEWS

Greenvelope.com CyberSecurity News

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

January 23, 2026 08:00 AM

Phishing Attack Uses Stolen Credentials to Install LogMeIn RMM for Persistent Access

Cybersecurity researchers have disclosed details of a new dual-vector campaign that leverages stolen credentials to deploy legitimate Remote...

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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