What is the official website of Tripadvisor 猫途鹰 ?

The official website of Tripadvisor 猫途鹰 is http://www.tripadvisor.cn.

What is Tripadvisor 猫途鹰's cybersecurity risk score?

Tripadvisor 猫途鹰 has an AI-generated cybersecurity risk score of 766 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Tripadvisor 猫途鹰 experienced?

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

Has Tripadvisor 猫途鹰 been affected by any supply chain cyber incidents ?

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

Does Tripadvisor 猫途鹰 have SOC 2 Type 1 certification ?

According to Rankiteo, Tripadvisor 猫途鹰 is not certified under SOC 2 Type 1.

Does Tripadvisor 猫途鹰 have SOC 2 Type 2 certification ?

According to Rankiteo, Tripadvisor 猫途鹰 does not hold a SOC 2 Type 2 certification.

Does Tripadvisor 猫途鹰 comply with GDPR ?

According to Rankiteo, Tripadvisor 猫途鹰 is not listed as GDPR compliant.

Does Tripadvisor 猫途鹰 have PCI DSS certification ?

According to Rankiteo, Tripadvisor 猫途鹰 does not currently maintain PCI DSS compliance.

Does Tripadvisor 猫途鹰 comply with HIPAA ?

According to Rankiteo, Tripadvisor 猫途鹰 is not compliant with HIPAA regulations.

Does Tripadvisor 猫途鹰 have ISO 27001 certification ?

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

Which industry does Tripadvisor 猫途鹰 operate in ?

Tripadvisor 猫途鹰 operates primarily in the Technology, Information and Internet industry.

How many employees does Tripadvisor 猫途鹰 have ?

Tripadvisor 猫途鹰 employs approximately 52 people worldwide.

Does Tripadvisor 猫途鹰 own any subsidiaries ?

Tripadvisor 猫途鹰 presently has no subsidiaries across any sectors.

How many LinkedIn followers does Tripadvisor 猫途鹰 have ?

Tripadvisor 猫途鹰's official LinkedIn profile has approximately 3,286 followers.

What is the NAICS classification code for Tripadvisor 猫途鹰 ?

Tripadvisor 猫途鹰 is classified under the NAICS code 513, which corresponds to Others.

Does Tripadvisor 猫途鹰 have a Crunchbase profile ?

No, Tripadvisor 猫途鹰 does not have a profile on Crunchbase.

Does Tripadvisor 猫途鹰 have a LinkedIn profile ?

Yes, Tripadvisor 猫途鹰 maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/daodao-tripadvisor-china.

How many cybersecurity incidents has Tripadvisor 猫途鹰 experienced ?

As of June 23, 2026, Rankiteo reports that Tripadvisor 猫途鹰 has experienced 2 cybersecurity incidents.

How many peer or competitor companies does Tripadvisor 猫途鹰 have ?

Tripadvisor 猫途鹰 has an estimated 14,820 peer or competitor companies worldwide.

What types of cybersecurity incidents has Tripadvisor 猫途鹰 faced ?

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

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Tripadvisor 猫途鹰

Boost Score +25 with badge (5 left)

766

/1000

Fair

791

/1000

Fair

Tripadvisor 猫途鹰 Vendor Cyber Rating & Cyber Score

tripadvisor.cn

Add Your Compliance Badge

Tripadvisor（官方中文名：猫途鹰）（纳斯达克: TRIP）是全球领先的旅游平台，每月帮助近4.6亿旅行者获得每次旅行中的更多精彩体验。来自全球的旅行者可通过猫途鹰(Tripadvisor)网站和App浏览超过860万个住宿、餐厅、景点玩乐、航空公司和邮轮信息，以及超过8.3亿条点评和建议。无论是计划旅行还是旅行途中，旅行者都可通过猫途鹰(Tripadvisor)比较酒店、航班和邮轮的更低价格, 预订热门景点和玩乐体验, 以及预订一流餐厅。

Tripadvisor 猫途鹰 A.I CyberSecurity Scoring

Scoring History

Tripadvisor 猫途鹰

Tripadvisor 猫途鹰 CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Tripadvisor 猫途鹰

Breach

5/2017

TRI926072725

Tripadvisor 猫途鹰

Breach

9/2014

VIA328080425

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A.I.

Tripadvisor 猫途鹰 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 Tripadvisor 猫途鹰

Incidents vs Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for Tripadvisor 猫途鹰 in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Tripadvisor 猫途鹰 in 2026.

Incident Types Tripadvisor 猫途鹰 vs Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for Tripadvisor 猫途鹰 in 2026.

Incident History - Tripadvisor 猫途鹰 (X = Date, Y = Severity)

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SUBSIDIARY

Tripadvisor 猫途鹰 Subsidiaries

Tripadvisor 猫途鹰

Technology, Information and Internet

Website: http://www.tripadvisor.cn

Company Size: 52

TripadvisorSoftware Development

ViatorTravel Arrangements

Viator | Operator PartnersTravel Arrangements

TheForkSoftware Development

TheFork FranceTechnologie, information et Internet

TheFork UKRestaurants

TheFork EspañaTecnología, información e internet

TheFork Germany - Austria - SwitzerlandRestaurants

JetsetterTravel Arrangements

Bókun, a Tripadvisor companySoftware Development

Tripadvisor RentalsTravel Arrangements

HouseTripTravel Arrangements

FlipKeyTechnology, Information and Internet

SeatGuru / TripAdvisorSoftware Development

Oyster.comLeisure, Travel & Tourism

Tripadvisor for BusinessAdvertising Services

The Independent Traveler, Inc.Travel Arrangements

Niumba de TripAdvisorTechnology, Information and Internet

Tripadvisor SupportTechnology, Information and Media

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NEWS

Tripadvisor 猫途鹰 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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