What is the official website of Sistemi Informativi, an IBM Company ?

The official website of Sistemi Informativi, an IBM Company is https://www.sistinf.it.

What is Sistemi Informativi, an IBM Company's cybersecurity risk score?

Sistemi Informativi, an IBM Company has an AI-generated cybersecurity risk score of 739 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Sistemi Informativi, an IBM Company experienced?

According to Rankiteo, Sistemi Informativi, an IBM Company currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Sistemi Informativi, an IBM Company been affected by any supply chain cyber incidents ?

According to Rankiteo, Sistemi Informativi, an IBM Company has been affected by a supply chain cyber incident involving Sistemi Informativi, an IBM Company, with the incident ID SIS1777847095.

Does Sistemi Informativi, an IBM Company have SOC 2 Type 1 certification ?

According to Rankiteo, Sistemi Informativi, an IBM Company is not certified under SOC 2 Type 1.

Does Sistemi Informativi, an IBM Company have SOC 2 Type 2 certification ?

According to Rankiteo, Sistemi Informativi, an IBM Company does not hold a SOC 2 Type 2 certification.

Does Sistemi Informativi, an IBM Company comply with GDPR ?

According to Rankiteo, Sistemi Informativi, an IBM Company is not listed as GDPR compliant.

Does Sistemi Informativi, an IBM Company have PCI DSS certification ?

According to Rankiteo, Sistemi Informativi, an IBM Company does not currently maintain PCI DSS compliance.

Does Sistemi Informativi, an IBM Company comply with HIPAA ?

According to Rankiteo, Sistemi Informativi, an IBM Company is not compliant with HIPAA regulations.

Does Sistemi Informativi, an IBM Company have ISO 27001 certification ?

According to Rankiteo,Sistemi Informativi, an IBM Company is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Sistemi Informativi, an IBM Company operate in ?

Sistemi Informativi, an IBM Company operates primarily in the IT Services and IT Consulting industry.

How many employees does Sistemi Informativi, an IBM Company have ?

Sistemi Informativi, an IBM Company employs approximately 910 people worldwide.

Does Sistemi Informativi, an IBM Company own any subsidiaries ?

Sistemi Informativi, an IBM Company presently has no subsidiaries across any sectors.

How many LinkedIn followers does Sistemi Informativi, an IBM Company have ?

Sistemi Informativi, an IBM Company's official LinkedIn profile has approximately 9,915 followers.

What is the NAICS classification code for Sistemi Informativi, an IBM Company ?

Sistemi Informativi, an IBM Company is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

Does Sistemi Informativi, an IBM Company have a Crunchbase profile ?

No, Sistemi Informativi, an IBM Company does not have a profile on Crunchbase.

Does Sistemi Informativi, an IBM Company have a LinkedIn profile ?

Yes, Sistemi Informativi, an IBM Company maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/sistemi-informativi.

How many cybersecurity incidents has Sistemi Informativi, an IBM Company experienced ?

As of June 23, 2026, Rankiteo reports that Sistemi Informativi, an IBM Company has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Sistemi Informativi, an IBM Company have ?

Sistemi Informativi, an IBM Company has an estimated 40,795 peer or competitor companies worldwide.

What types of cybersecurity incidents has Sistemi Informativi, an IBM Company faced ?

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

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SIIC

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739

/1000

Moderate

764

/1000

Fair

Sistemi Informativi, an IBM Company Vendor Cyber Rating & Cyber Score

sistinf.it

Add Your Compliance Badge

La Sistemi Informativi è una società leader di progettazione e realizzazione di soluzioni IT complesse ed è parte integrante del Gruppo IBM Italia. Nata nel 1979, opera in diversi settori di mercato come la Pubblica Amministrazione Centrale e Locale, il Settore Bancario, il settore Finanziario e Assicurativo, Telecomunicazioni, Industria e Utilities. Grazie all'esperienza ed alle competenze di 1200 professionisti, l'Azienda è in grado di offrire idee innovative, frutto di un consolidato processo di ingegnerizzazione delle soluzioni sviluppate e di consulenze specialistiche di assoluto livello. Capitalizzando le proprie competenze ed esperienze, la nostra Azienda è in grado di offrire soluzioni e servizi all'avanguardia in grado di

SIIC A.I CyberSecurity Scoring

Scoring History

SIIC

Sistemi Informativi, an IBM Company CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Sistemi Informativi...

Cyber Attack

100

4/2026

Sistemi Informa...

SIS1777847095

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A.I.

SIIC 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 SIIC

Incidents vs IT Services and IT Consulting Industry Avg (This Year)

Sistemi Informativi, an IBM Company has 34.64% fewer incidents than the average of same-industry companies with at least one recorded incident.

Incidents vs All-Companies Average (This Year)

Sistemi Informativi, an IBM Company has 5.66% fewer incidents than the average of all companies with at least one recorded incident.

Incident Types SIIC vs IT Services and IT Consulting Industry Avg (This Year)

Sistemi Informativi, an IBM Company 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 - SIIC (X = Date, Y = Severity)

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SUBSIDIARY

Sistemi Informativi, an IBM Company Subsidiaries

SIIC

IT Services and IT Consulting

Website: https://www.sistinf.it

Company Size: 501-1,000 employees

XF - eXtended Financial platformIT Services and IT Consulting

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NEWS

Sistemi Informativi, an IBM Company 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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