What is the official website of PT Lion Super Indo ?

The official website of PT Lion Super Indo is https://superindo.jobseeker.software/.

What is PT Lion Super Indo's cybersecurity risk score?

PT Lion Super Indo has an AI-generated cybersecurity risk score of 808 out of 1000, indicating a Good security posture according to Rankiteo's assessment.

How many security incidents has PT Lion Super Indo experienced?

According to Rankiteo, PT Lion Super Indo currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has PT Lion Super Indo been affected by any supply chain cyber incidents ?

According to Rankiteo, PT Lion Super Indo has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does PT Lion Super Indo have SOC 2 Type 1 certification ?

According to Rankiteo, PT Lion Super Indo is not certified under SOC 2 Type 1.

Does PT Lion Super Indo have SOC 2 Type 2 certification ?

According to Rankiteo, PT Lion Super Indo does not hold a SOC 2 Type 2 certification.

Does PT Lion Super Indo comply with GDPR ?

According to Rankiteo, PT Lion Super Indo is not listed as GDPR compliant.

Does PT Lion Super Indo have PCI DSS certification ?

According to Rankiteo, PT Lion Super Indo does not currently maintain PCI DSS compliance.

Does PT Lion Super Indo comply with HIPAA ?

According to Rankiteo, PT Lion Super Indo is not compliant with HIPAA regulations.

Does PT Lion Super Indo have ISO 27001 certification ?

According to Rankiteo,PT Lion Super Indo is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does PT Lion Super Indo operate in ?

PT Lion Super Indo operates primarily in the Retail industry.

How many employees does PT Lion Super Indo have ?

PT Lion Super Indo employs approximately 15,032 people worldwide.

Does PT Lion Super Indo own any subsidiaries ?

PT Lion Super Indo presently has no subsidiaries across any sectors.

How many LinkedIn followers does PT Lion Super Indo have ?

PT Lion Super Indo's official LinkedIn profile has approximately 788,192 followers.

What is the NAICS classification code for PT Lion Super Indo ?

PT Lion Super Indo is classified under the NAICS code 43, which corresponds to Retail Trade.

Does PT Lion Super Indo have a Crunchbase profile ?

No, PT Lion Super Indo does not have a profile on Crunchbase.

Does PT Lion Super Indo have a LinkedIn profile ?

Yes, PT Lion Super Indo maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/superindo.

How many cybersecurity incidents has PT Lion Super Indo experienced ?

As of June 23, 2026, Rankiteo reports that PT Lion Super Indo has experienced 3 cybersecurity incidents.

How many peer or competitor companies does PT Lion Super Indo have ?

PT Lion Super Indo has an estimated 15,866 peer or competitor companies worldwide.

What types of cybersecurity incidents has PT Lion Super Indo faced ?

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

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808

/1000

Good

833

/1000

Good

PT Lion Super Indo Vendor Cyber Rating & Cyber Score

jobseeker.software

Add Your Compliance Badge

Sejak tahun 1997, Super Indo telah bertumbuh dan berkembang di Indonesia melalui kemitraan bersama Ahold Delhaize yang berasal dari Belanda dan Salim Group dari Indonesia. Didukung lebih dari 10,000 karyawan* yang terlatih, Super Indo berhasil menyediakan berbagai macam barang kebutuhan sehari-hari berkualitas tinggi dengan harga ekonomis. Super Indo selalu menjaga kesegaran dan kualitas produk dengan cara memilih produsen yang baik dan juga menetapkan prosedur operasi standar yang selalu kami pantau. Super Indo juga berkomitmen untuk mengembangkan ekonomi lokal dengan menjalin kemitraan dengan petani lokal dan memberdayakan Usaha Mikro, Kecil, dan Menengah (UMKM) yang menyuplai produk berkualitas di gerai Super Indo. Hal ini membuat

PLSI A.I CyberSecurity Scoring

Scoring History

PLSI

PT Lion Super Indo CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

bol

Breach

4/2026

BOL1776674550

PT Lion Super Indo

Cyber Attack

100

10/2025

AHO394363910272...

PT Lion Super Indo

Ransomware

100

6/2025

AHO615062825

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A.I.

PLSI 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 PLSI

Incidents vs Retail Industry Avg (This Year)

No incidents recorded for PT Lion Super Indo in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for PT Lion Super Indo in 2026.

Incident Types PLSI vs Retail Industry Avg (This Year)

No incidents recorded for PT Lion Super Indo in 2026.

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

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SUBSIDIARY

PT Lion Super Indo Subsidiaries

PLSI

Retail

Website: https://superindo.jobseeker.software/

Company Size: 10,001+ employees

Ahold DelhaizeRetail

Albert HeijnRetail

Food LionRetail

Ahold Delhaize USARetail

ADUSA DistributionRetail

ADUSA TransportationRetail

AB VASSILOPOULOSRetail

MEGA IMAGE - Ahold Delhaize GroupRetail

Giant FoodRetail

The GIANT CompanyRetail

GIANTRetail

MARTIN'SRetail

GIANT Heirloom MarketRetail

GIANT DirectRetail

Hannaford SupermarketsRetail

bolRetail

bol Retail MediaAdvertising Services

Delhaize BelgiumRetail

Albert Česká republikaRetail

Gall & GallRetail

AD/01Technology, Information and Internet

EtosRetail

Delhaize SerbiaRetail

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NEWS

PT Lion Super Indo CyberSecurity News

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

September 19, 2019 07:00 AM

Experts call for tougher law on data breach as Malindo Air becomes latest victim

LEGAL and cyber-security experts are calling for data breach mandatory disclosure regulation to be introduced in Malaysia in light of...

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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