Security Scan Report: airbnb.frngrgqb46.workers.dev

Redirected to:
https://airbnb.frngrgqb46.workers.dev/help/article/1320
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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 5 domains to perform 87 HTTP transactions. The main domain is workers.dev and was registered 7 years ago.

Submitted URL: http://airbnb.frngrgqb46.workers.dev/help/article/1320

Effective URL:
https://airbnb.frngrgqb46.workers.dev/help/article/1320
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake Airbnb Help Center on a workers.dev subdomain impersonating Airbnb; Google Safe Browsing flags it for social engineering. Do not trust or interact.

Risk Factors (5)
Brand impersonation of Airbnb on a non-Airbnb workers.dev subdomain
Google Safe Browsing Social Engineering (phishing/deception) detection
Deceptive hostname designed to mimic airbnb.com
Free instant-publishing shared hosting tenant with unknown subdomain age
Content copied from a legitimate brand's help center to build credibility
Domain age information unavailable

Details

Page Title

重大な影響を及⁠ぼ⁠す事⁠象ポ⁠リ⁠シ⁠ー - Airbnbヘルプセンター

Scan Type

public

Domain Name Analysis

The domain name 'airbnb.frngrgqb46.workers.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'airbnb.frngrgqb46'. Its registrable label 'workers' stretches across 7 characters split between two vowels and 5 consonants. Breaking it apart gives 1 word: workers. Median word length comes out to seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Q ヘルプセンター 入門ガイドなどを検索 ホーム画面 > すべてのトピック > 宿泊ホストとしての予約 > キャンセル > 重大な影響を及ぼす事象ポリシー 重大な影響を及ぼす事象ポリシー この記事の内容 中概要 軸対象となる事象 対象とならない事象 内本ポリシーがホストに与える影響 上内 その他の留意事項 概要 通常、Airbnbの予約のキャンセル及び返金は、当該リスティングに設...

Page Load Overview

2.36s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:80%
Script:Mixed
Direction:ltr

Detection Details

HTML Lang Attribute:ja
Text Length:3,982 chars
Detector Agreement:100%

All Detected Languages

🇯🇵ja(99%)🇨🇳zh(1%)

Website Classification

Primary Category

travel tourism28% confidence
Type: spa
Method: ml+structural

All Detected Categories

travel tourism
28%
forum community discussion
26%
corporate
25%
news
15%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1023.216.77.40Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
10142.251.152.119Google · CDNUnited States
AS15169Google LLC
10142.251.20.97Google · CDNUnited States
AS15169Google LLC
10142.251.110.149Google · CDNUnited States
AS15169Google LLC
1023.216.77.41Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
10142.251.150.119Google · CDNUnited States
AS15169Google LLC
1188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
878--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C96429659200616CA726BF11A977B936F0E78C91D987A427C02DCEBD20DF8ED780791F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:zA1x8aQF8SOwL8RW+nq18+4hR8cKmGY5OPIt/wS:za3wL8RW+nq18+4hR8cKmGY5OPIt/wS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:310884:B0DggEzQyM9MiPqiSAiiBk0qbkJnRVgADhBEU6BckY14GRSZQDKEAFAAASBKIbiqAALhACgQUMYowIGdgJGeGQCwxeEwRA2K

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:e6cb999fff8787cf
Perceptual Hash:b8cd33b286324d6d
Difference Hash:4c32323022181838
Wavelet Hash:2682998f9f878787
Color Hash:07000000007

Other Hashes

Crop Resistant:4c32323022181838

Scan History

Scan history not available

Unable to load historical scan data