What is the official website of IGT Gaming APAC ?

The official website of IGT Gaming APAC is https://www.igt.com.au/.

What is IGT Gaming APAC's cybersecurity risk score?

IGT Gaming APAC has an AI-generated cybersecurity risk score of 753 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has IGT Gaming APAC experienced?

According to Rankiteo, IGT Gaming APAC currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has IGT Gaming APAC been affected by any supply chain cyber incidents ?

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

Does IGT Gaming APAC have SOC 2 Type 1 certification ?

According to Rankiteo, IGT Gaming APAC is not certified under SOC 2 Type 1.

Does IGT Gaming APAC have SOC 2 Type 2 certification ?

According to Rankiteo, IGT Gaming APAC does not hold a SOC 2 Type 2 certification.

Does IGT Gaming APAC comply with GDPR ?

According to Rankiteo, IGT Gaming APAC is not listed as GDPR compliant.

Does IGT Gaming APAC have PCI DSS certification ?

According to Rankiteo, IGT Gaming APAC does not currently maintain PCI DSS compliance.

Does IGT Gaming APAC comply with HIPAA ?

According to Rankiteo, IGT Gaming APAC is not compliant with HIPAA regulations.

Does IGT Gaming APAC have ISO 27001 certification ?

According to Rankiteo,IGT Gaming APAC is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does IGT Gaming APAC operate in ?

IGT Gaming APAC operates primarily in the Software Development industry.

How many employees does IGT Gaming APAC have ?

IGT Gaming APAC employs approximately None employees people worldwide.

Does IGT Gaming APAC own any subsidiaries ?

IGT Gaming APAC presently has no subsidiaries across any sectors.

How many LinkedIn followers does IGT Gaming APAC have ?

IGT Gaming APAC's official LinkedIn profile has approximately 1,046 followers.

What is the NAICS classification code for IGT Gaming APAC ?

IGT Gaming APAC is classified under the NAICS code 5112, which corresponds to Software Publishers.

Does IGT Gaming APAC have a Crunchbase profile ?

No, IGT Gaming APAC does not have a profile on Crunchbase.

Does IGT Gaming APAC have a LinkedIn profile ?

Yes, IGT Gaming APAC maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/igt-gaming-apac.

How many cybersecurity incidents has IGT Gaming APAC experienced ?

As of June 23, 2026, Rankiteo reports that IGT Gaming APAC has experienced 5 cybersecurity incidents.

How many peer or competitor companies does IGT Gaming APAC have ?

IGT Gaming APAC has an estimated 30,161 peer or competitor companies worldwide.

What types of cybersecurity incidents has IGT Gaming APAC faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach and Ransomware.

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IGA

Boost Score +25 with badge (5 left)

753

/1000

Fair

778

/1000

Fair

IGT Gaming APAC Vendor Cyber Rating & Cyber Score

igt.com.au

Add Your Compliance Badge

Welcome to IGT Gaming APAC, a dedicated platform created specifically to keep gaming industry professionals up to date with the latest trends, developments, and opportunities for club, hotel and casino markets, systems and Hardware business segments within the APAC region. Leveraging a wealth of compelling content, substantial investment in innovation, player insights, operational expertise, leading-edge technology and locally developed & market-attuned products, IGT’s solutions deliver an entertaining and Responsible Gaming experience for players across all land based regulated segments, driving growth for our customers across the APAC region adhering to the highest standards of service, integrity, and responsibility. Stay ahead of the

IGA A.I CyberSecurity Scoring

Scoring History

IGA

IGT Gaming APAC CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

IGT Gaming APAC

Ransomware

100

11/2025

IGT219202111202...

IGT Gaming APAC

Breach

10/2025

BRI519285110062...

IGT Gaming APAC

Breach

9/2025

BRI320253209242...

IGT Gaming APAC

Breach

11/2024

BRI490214910072...

IGT Gaming APAC

Ransomware

100

6/2022

IGT250202511212...

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A.I.

IGA 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 IGA

Incidents vs Software Development Industry Avg (This Year)

No incidents recorded for IGT Gaming APAC in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for IGT Gaming APAC in 2026.

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

No incidents recorded for IGT Gaming APAC in 2026.

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

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SUBSIDIARY

IGT Gaming APAC Subsidiaries

IGA

Software Development

Website: https://www.igt.com.au/

Company Size: 10,001+ employees

IGT Global LotterySoftware Development

IGT ItaliaEntertainment Providers

Brightstar ItaliaEntertainment Providers

Brightstar LotteryIT Services and IT Consulting

IGTSoftware Development

IGT GamingSoftware Development

IGT Gaming EMEASoftware Development

IGT PlaySportsGambling Facilities and Casinos

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NEWS

IGT Gaming APAC CyberSecurity News

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

November 19, 2024 08:00 AM

Slot Machine Operator International Game (IGT) Reports Hacker Incident

International Game Technology Plc, operator of popular slot machines in casinos, said an unauthorized third party gained access to certain...

Read Article

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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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