What is the official website of A & N Sales ?

The official website of A & N Sales is http://www.ansales.com.

What is A & N Sales's cybersecurity risk score?

A & N Sales has an AI-generated cybersecurity risk score of 807 out of 1000, indicating a Good security posture according to Rankiteo's assessment.

How many security incidents has A & N Sales experienced?

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

Has A & N Sales been affected by any supply chain cyber incidents ?

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

Does A & N Sales have SOC 2 Type 1 certification ?

According to Rankiteo, A & N Sales is not certified under SOC 2 Type 1.

Does A & N Sales have SOC 2 Type 2 certification ?

According to Rankiteo, A & N Sales does not hold a SOC 2 Type 2 certification.

Does A & N Sales comply with GDPR ?

According to Rankiteo, A & N Sales is not listed as GDPR compliant.

Does A & N Sales have PCI DSS certification ?

According to Rankiteo, A & N Sales does not currently maintain PCI DSS compliance.

Does A & N Sales comply with HIPAA ?

According to Rankiteo, A & N Sales is not compliant with HIPAA regulations.

Does A & N Sales have ISO 27001 certification ?

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

Which industry does A & N Sales operate in ?

A & N Sales operates primarily in the Glass, Ceramics and Concrete Manufacturing industry.

How many employees does A & N Sales have ?

A & N Sales employs approximately 14 people worldwide.

Does A & N Sales own any subsidiaries ?

A & N Sales presently has no subsidiaries across any sectors.

How many LinkedIn followers does A & N Sales have ?

A & N Sales's official LinkedIn profile has approximately followers.

What is the NAICS classification code for A & N Sales ?

A & N Sales is classified under the NAICS code 327, which corresponds to Nonmetallic Mineral Product Manufacturing.

Does A & N Sales have a Crunchbase profile ?

No, A & N Sales does not have a profile on Crunchbase.

Does A & N Sales have a LinkedIn profile ?

Yes, A & N Sales maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/a-&-n-sales.

How many cybersecurity incidents has A & N Sales experienced ?

As of June 23, 2026, Rankiteo reports that A & N Sales has not experienced any cybersecurity incidents.

How many peer or competitor companies does A & N Sales have ?

A & N Sales has an estimated 661 peer or competitor companies worldwide.

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807

/1000

Good

832

/1000

Good

A & N Sales Vendor Cyber Rating & Cyber Score

ansales.com

Add Your Compliance Badge

Manufacturer's representatives

NS A.I CyberSecurity Scoring

Scoring History

A & N Sales CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

No data available

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A.I.

NS 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 NS

Incidents vs Glass, Ceramics and Concrete Manufacturing Industry Avg (This Year)

No incidents recorded for A & N Sales in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for A & N Sales in 2026.

Incident Types NS vs Glass, Ceramics and Concrete Manufacturing Industry Avg (This Year)

No incidents recorded for A & N Sales in 2026.

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

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SUBSIDIARY

A & N Sales Subsidiaries

Parent Company

NS

Glass, Ceramics and Concrete Manufacturing

Website: http://www.ansales.com

Company Size: 2-10 employees

No subsidiary data available for this company.

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A & N Sales Similar Companies

O-I

o-i.com

Innovation is in our DNA. We’re transforming the glassmaking industry. At O-I Glass, Inc. (NYSE: OI), we love glass and we’re proud to be one of the leading producers of glass bottles and jars around the globe. Glass is not only beautiful, it’s also pure, healthy and completely recyclable, making it the most sustainable rigid packaging material. Headquartered in Perrysburg, Ohio (USA), our diverse team is made of approximately 24,000 people across 69 plants in 19 countries. O-I is the preferred partner for many of the world’s leading food and beverage brands. We collaborate with customers to create iconic, innovative packaging that builds brands around the world.

Corning Incorporated

cb corning.com

Corning is one of the world's leading innovators in materials science, with a 170+ year track record of life-changing inventions. Corning applies its unparalleled expertise in glass science, ceramics science, and optical physics along with its deep manufacturing and engineering capabilities to develop category-defining products that transform industries and enhance people's lives. Corning succeeds through sustained investment in RD&E, a unique combination of material and process innovation, and deep, trust-based relationships with customers who are global leaders in their industries. Corning's capabilities are versatile and synergistic, which allows the company to evolve to meet changing market needs, while also helping our customers capture new opportunities in dynamic industries. Today, Corning's markets include optical communications, mobile consumer electronics, display technology, automotive, and life sciences vessels. Corning's industry-leading products include damage-resistant cover glass for mobile devices; precision glass for advanced displays; optical fiber, wireless technologies, and connectivity solutions for state-of-the-art communications networks; trusted products to accelerate drug discovery and delivery; and clean-air technologies for cars and trucks. Terms of Use: http://ow.ly/ObPiI

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NEWS

A & N Sales CyberSecurity News

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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