What is the official website of ShopeePay ?

The official website of ShopeePay is https://www.monee.com/products/mobile-wallets.

What is ShopeePay's cybersecurity risk score?

ShopeePay has an AI-generated cybersecurity risk score of 759 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has ShopeePay experienced?

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

Has ShopeePay been affected by any supply chain cyber incidents ?

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

Does ShopeePay have SOC 2 Type 1 certification ?

According to Rankiteo, ShopeePay is not certified under SOC 2 Type 1.

Does ShopeePay have SOC 2 Type 2 certification ?

According to Rankiteo, ShopeePay does not hold a SOC 2 Type 2 certification.

Does ShopeePay comply with GDPR ?

According to Rankiteo, ShopeePay is not listed as GDPR compliant.

Does ShopeePay have PCI DSS certification ?

According to Rankiteo, ShopeePay does not currently maintain PCI DSS compliance.

Does ShopeePay comply with HIPAA ?

According to Rankiteo, ShopeePay is not compliant with HIPAA regulations.

Does ShopeePay have ISO 27001 certification ?

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

Which industry does ShopeePay operate in ?

ShopeePay operates primarily in the Financial Services industry.

How many employees does ShopeePay have ?

ShopeePay employs approximately 997 people worldwide.

Does ShopeePay own any subsidiaries ?

ShopeePay presently has no subsidiaries across any sectors.

How many LinkedIn followers does ShopeePay have ?

ShopeePay's official LinkedIn profile has approximately 17,546 followers.

What is the NAICS classification code for ShopeePay ?

ShopeePay is classified under the NAICS code 52, which corresponds to Finance and Insurance.

Does ShopeePay have a Crunchbase profile ?

No, ShopeePay does not have a profile on Crunchbase.

Does ShopeePay have a LinkedIn profile ?

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

How many cybersecurity incidents has ShopeePay experienced ?

As of June 23, 2026, Rankiteo reports that ShopeePay has experienced 1 cybersecurity incidents.

How many peer or competitor companies does ShopeePay have ?

ShopeePay has an estimated 32,131 peer or competitor companies worldwide.

What types of cybersecurity incidents has ShopeePay faced ?

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

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ShopeePay

Boost Score +25 with badge (5 left)

759

/1000

Fair

784

/1000

Fair

ShopeePay Vendor Cyber Rating & Cyber Score

monee.com

Add Your Compliance Badge

ShopeePay is Monee's mobile wallet, which provides users with easy access to digital payment services. Our mobile wallet provides users with a fast and secure way to make online payments, transfer funds and pay offline at thousands of our merchant partner locations. Through creating a more inclusive digital financial ecosystem, we enable our users to participate in the growth of the digital economy and better their lives through technology.

ShopeePay A.I CyberSecurity Scoring

Scoring History

ShopeePay

ShopeePay CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

ShopeePay

Data Leak

6/2022

SHO21312323

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A.I.

ShopeePay 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 ShopeePay

Incidents vs Financial Services Industry Avg (This Year)

No incidents recorded for ShopeePay in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for ShopeePay in 2026.

Incident Types ShopeePay vs Financial Services Industry Avg (This Year)

No incidents recorded for ShopeePay in 2026.

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

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SUBSIDIARY

ShopeePay Subsidiaries

ShopeePay

Financial Services

Website: https://www.monee.com/products/mobile-wallets

Company Size: 997

SeaTechnology, Information and Internet

ShopeeSoftware Development

SeaMoneyFinancial Services

GarenaEntertainment Providers

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NEWS

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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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