What is the official website of Celeste Industries Corporation ?

The official website of Celeste Industries Corporation is https://http://www.celestecorp.com/.

What is Celeste Industries Corporation's cybersecurity risk score?

Celeste Industries Corporation has an AI-generated cybersecurity risk score of 751 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Celeste Industries Corporation experienced?

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

Has Celeste Industries Corporation been affected by any supply chain cyber incidents ?

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

Does Celeste Industries Corporation have SOC 2 Type 1 certification ?

According to Rankiteo, Celeste Industries Corporation is not certified under SOC 2 Type 1.

Does Celeste Industries Corporation have SOC 2 Type 2 certification ?

According to Rankiteo, Celeste Industries Corporation does not hold a SOC 2 Type 2 certification.

Does Celeste Industries Corporation comply with GDPR ?

According to Rankiteo, Celeste Industries Corporation is not listed as GDPR compliant.

Does Celeste Industries Corporation have PCI DSS certification ?

According to Rankiteo, Celeste Industries Corporation does not currently maintain PCI DSS compliance.

Does Celeste Industries Corporation comply with HIPAA ?

According to Rankiteo, Celeste Industries Corporation is not compliant with HIPAA regulations.

Does Celeste Industries Corporation have ISO 27001 certification ?

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

Which industry does Celeste Industries Corporation operate in ?

Celeste Industries Corporation operates primarily in the Chemical Manufacturing industry.

How many employees does Celeste Industries Corporation have ?

Celeste Industries Corporation employs approximately 19 people worldwide.

Does Celeste Industries Corporation own any subsidiaries ?

Celeste Industries Corporation presently has no subsidiaries across any sectors.

How many LinkedIn followers does Celeste Industries Corporation have ?

Celeste Industries Corporation's official LinkedIn profile has approximately 847 followers.

What is the NAICS classification code for Celeste Industries Corporation ?

Celeste Industries Corporation is classified under the NAICS code 325, which corresponds to Chemical Manufacturing.

Does Celeste Industries Corporation have a Crunchbase profile ?

No, Celeste Industries Corporation does not have a profile on Crunchbase.

Does Celeste Industries Corporation have a LinkedIn profile ?

Yes, Celeste Industries Corporation maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/celeste-industries-corporation.

How many cybersecurity incidents has Celeste Industries Corporation experienced ?

As of June 23, 2026, Rankiteo reports that Celeste Industries Corporation has not experienced any cybersecurity incidents.

How many peer or competitor companies does Celeste Industries Corporation have ?

Celeste Industries Corporation has an estimated 4,390 peer or competitor companies worldwide.

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751

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Fair

776

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Fair

Celeste Industries Corporation Vendor Cyber Rating & Cyber Score

celestecorp.com

Add Your Compliance Badge

Celeste Industries Corporation is a global specialty chemical company focused on the development of value added cleaning, maintenance, and odor control products serving the aviation market. We work with airlines and aircraft OEMs to develop improved maintenance solutions; by combining our own expertise in cleaning chemicals and applications technology with modern scientific advancements, we are able to quickly develop complete system solutions for difficult cleaning, maintenance, and odor control tasks. At Celeste, we blend together chemistry and creativity to bring the latest and greatest cleaning technologies and programs to our customers. Our portfolio of products includes a wide range of products from toilet line cleaners and

CIC A.I CyberSecurity Scoring

Scoring History

CIC

Celeste Industries Corporation 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.

CIC 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 CIC

Incidents vs Chemical Manufacturing Industry Avg (This Year)

No incidents recorded for Celeste Industries Corporation in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Celeste Industries Corporation in 2026.

Incident Types CIC vs Chemical Manufacturing Industry Avg (This Year)

No incidents recorded for Celeste Industries Corporation in 2026.

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

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SUBSIDIARY

Celeste Industries Corporation Subsidiaries

Parent Company

CIC

Chemical Manufacturing

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

Company Size: 19

No subsidiary data available for this company.

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NEWS

Celeste Industries Corporation 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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