What is the official website of ISC (Informatics Services Corporation) ?

The official website of ISC (Informatics Services Corporation) is https://isc.co.ir/.

What is ISC (Informatics Services Corporation)'s cybersecurity risk score?

ISC (Informatics Services Corporation) has an AI-generated cybersecurity risk score of 810 out of 1000, indicating a Good security posture according to Rankiteo's assessment.

How many security incidents has ISC (Informatics Services Corporation) experienced?

According to Rankiteo, ISC (Informatics Services Corporation) currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has ISC (Informatics Services Corporation) been affected by any supply chain cyber incidents ?

According to Rankiteo, ISC (Informatics Services Corporation) has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does ISC (Informatics Services Corporation) have SOC 2 Type 1 certification ?

According to Rankiteo, ISC (Informatics Services Corporation) is not certified under SOC 2 Type 1.

Does ISC (Informatics Services Corporation) have SOC 2 Type 2 certification ?

According to Rankiteo, ISC (Informatics Services Corporation) does not hold a SOC 2 Type 2 certification.

Does ISC (Informatics Services Corporation) comply with GDPR ?

According to Rankiteo, ISC (Informatics Services Corporation) is not listed as GDPR compliant.

Does ISC (Informatics Services Corporation) have PCI DSS certification ?

According to Rankiteo, ISC (Informatics Services Corporation) does not currently maintain PCI DSS compliance.

Does ISC (Informatics Services Corporation) comply with HIPAA ?

According to Rankiteo, ISC (Informatics Services Corporation) is not compliant with HIPAA regulations.

Does ISC (Informatics Services Corporation) have ISO 27001 certification ?

According to Rankiteo,ISC (Informatics Services Corporation) is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does ISC (Informatics Services Corporation) operate in ?

ISC (Informatics Services Corporation) operates primarily in the Software Development industry.

How many employees does ISC (Informatics Services Corporation) have ?

ISC (Informatics Services Corporation) employs approximately 100 people worldwide.

Does ISC (Informatics Services Corporation) own any subsidiaries ?

ISC (Informatics Services Corporation) presently has no subsidiaries across any sectors.

How many LinkedIn followers does ISC (Informatics Services Corporation) have ?

ISC (Informatics Services Corporation)'s official LinkedIn profile has approximately followers.

What is the NAICS classification code for ISC (Informatics Services Corporation) ?

ISC (Informatics Services Corporation) is classified under the NAICS code 5112, which corresponds to Software Publishers.

Does ISC (Informatics Services Corporation) have a Crunchbase profile ?

No, ISC (Informatics Services Corporation) does not have a profile on Crunchbase.

Does ISC (Informatics Services Corporation) have a LinkedIn profile ?

Yes, ISC (Informatics Services 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/isc-informatics-services-corporation-.

How many cybersecurity incidents has ISC (Informatics Services Corporation) experienced ?

As of June 23, 2026, Rankiteo reports that ISC (Informatics Services Corporation) has experienced 1 cybersecurity incidents.

How many peer or competitor companies does ISC (Informatics Services Corporation) have ?

ISC (Informatics Services Corporation) has an estimated 30,166 peer or competitor companies worldwide.

What types of cybersecurity incidents has ISC (Informatics Services Corporation) faced ?

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

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810

/1000

Good

835

/1000

Good

ISC (Informatics Services Corporation) Vendor Cyber Rating & Cyber Score

isc.co.ir

Add Your Compliance Badge

شرکت خدمات انفورماتیک به منظور ایجاد و راه اندازی اتوماسیون بانکی در سال 1372 تاسیس گردید.

I A.I CyberSecurity Scoring

Scoring History

ISC (Informatics Services Corporation) CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

ISC (Informatics Se...

Cyber Attack

100

6/2026

ISC1782233867

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A.I.

I 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 I

Incidents vs Software Development Industry Avg (This Year)

ISC (Informatics Services Corporation) has 6.54% fewer incidents than the average of same-industry companies with at least one recorded incident.

Incidents vs All-Companies Average (This Year)

ISC (Informatics Services Corporation) has 5.66% fewer incidents than the average of all companies with at least one recorded incident.

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

ISC (Informatics Services Corporation) 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 - I (X = Date, Y = Severity)

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SUBSIDIARY

ISC (Informatics Services Corporation) Subsidiaries

Parent Company

I

Software Development

Website: https://isc.co.ir/

Company Size: 1,001-5,000 employees

No subsidiary data available for this company.

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NEWS

ISC (Informatics Services 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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