What is the official website of ASI Computer Systems ?

The official website of ASI Computer Systems is http://www.asicomp.com.

What is ASI Computer Systems's cybersecurity risk score?

ASI Computer Systems has an AI-generated cybersecurity risk score of 745 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has ASI Computer Systems experienced?

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

Has ASI Computer Systems been affected by any supply chain cyber incidents ?

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

Does ASI Computer Systems have SOC 2 Type 1 certification ?

According to Rankiteo, ASI Computer Systems is not certified under SOC 2 Type 1.

Does ASI Computer Systems have SOC 2 Type 2 certification ?

According to Rankiteo, ASI Computer Systems does not hold a SOC 2 Type 2 certification.

Does ASI Computer Systems comply with GDPR ?

According to Rankiteo, ASI Computer Systems is not listed as GDPR compliant.

Does ASI Computer Systems have PCI DSS certification ?

According to Rankiteo, ASI Computer Systems does not currently maintain PCI DSS compliance.

Does ASI Computer Systems comply with HIPAA ?

According to Rankiteo, ASI Computer Systems is not compliant with HIPAA regulations.

Does ASI Computer Systems have ISO 27001 certification ?

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

Which industry does ASI Computer Systems operate in ?

ASI Computer Systems operates primarily in the Software Development industry.

How many employees does ASI Computer Systems have ?

ASI Computer Systems employs approximately 31 people worldwide.

Does ASI Computer Systems own any subsidiaries ?

ASI Computer Systems presently has no subsidiaries across any sectors.

How many LinkedIn followers does ASI Computer Systems have ?

ASI Computer Systems's official LinkedIn profile has approximately 325 followers.

What is the NAICS classification code for ASI Computer Systems ?

ASI Computer Systems is classified under the NAICS code 5112, which corresponds to Software Publishers.

Does ASI Computer Systems have a Crunchbase profile ?

No, ASI Computer Systems does not have a profile on Crunchbase.

Does ASI Computer Systems have a LinkedIn profile ?

Yes, ASI Computer Systems maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/asi-computer-systems.

How many cybersecurity incidents has ASI Computer Systems experienced ?

As of June 23, 2026, Rankiteo reports that ASI Computer Systems has experienced 1 cybersecurity incidents.

How many peer or competitor companies does ASI Computer Systems have ?

ASI Computer Systems has an estimated 30,153 peer or competitor companies worldwide.

What types of cybersecurity incidents has ASI Computer Systems faced ?

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

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ACS

Boost Score +25 with badge (5 left)

745

/1000

Moderate

770

/1000

Fair

ASI Computer Systems Vendor Cyber Rating & Cyber Score

asicomp.com

Add Your Compliance Badge

ASI Computer Systems has been an integral part of the advertising specialty industry since 1978. We understand the fundamental differences between promotional product suppliers and distributors. Our team has utilized this key knowledge of the industry, as well as our partnership with ASI, the leader for information and advertising solutions, to shape ASI SmartBooks into the most efficient business management solution available for your business.

ACS A.I CyberSecurity Scoring

Scoring History

ACS

ASI Computer Systems CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

ASI Computer System...

Data Leak

12/2016

ASI234617123

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A.I.

ACS 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 ACS

Incidents vs Software Development Industry Avg (This Year)

No incidents recorded for ASI Computer Systems in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for ASI Computer Systems in 2026.

Incident Types ACS vs Software Development Industry Avg (This Year)

No incidents recorded for ASI Computer Systems in 2026.

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

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SUBSIDIARY

ASI Computer Systems Subsidiaries

Parent Company

ACS

Software Development

Website: http://www.asicomp.com

Company Size: 11-50 employees

No subsidiary data available for this company.

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NEWS

ASI Computer Systems CyberSecurity News

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

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Cybersecurity Experts Warn of Increased Risk of Attacks From Iran-Linked Hackers

Banks and critical infrastructure are the most vulnerable to cyberattacks, experts say, but all organizations should stay vigilant and take...

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January 26, 2026 08:00 AM

Superintelligent AI: Should its development be stopped?

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February 08, 2025 07:32 AM

The 2025 Managed Service Provider 500

IT procurement continues its rapid shift to a services-led model in the channel. Once again we present the annual CRN Managed Service Provider 500, the ...

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December 18, 2024 06:00 AM

What Is Artificial Superintelligence?

Artificial superintelligence (ASI) is a hypothetical software-based artificial intelligence (AI) system with an intellectual scope beyond human intelligence.

Read Article

November 26, 2024 08:00 AM

Ransomware Attack Highlights Threat to Supply Chain Management Providers

A ransomware attack on Blue Yonder disrupted supply chains for major grocery providers like Morrisons and Sainsbury's, as well as Starbucks.

Read Article

July 26, 2023 10:46 AM

Supplier Cybersecurity

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Read Article

July 26, 2023 07:00 AM

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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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