Security Scan Report: fanqie-novel-dpxyrculnwwa.edgeone.dev

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Submitted: Aug 26, 2026, 2:45:11 AMCompleted: Aug 26, 2026, 2:46:30 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no phishing or malware behavior; low risk due to unranked hosting subdomain.

Risk Factors
Domain is unranked in Cisco Umbrella
Hosted on a free subdomain platform (edgeone.dev) with unknown creation date
Safety Factors
No password, disguised‑password, or payment fields
No credential exfiltration or cross‑origin form submissions
No malicious JavaScript detections
Domain age information unavailable

Details

Page Title

番茄书屋 - 在线小说阅读

Scan Type

public

Domain Name Analysis

You're looking at domain 'fanqie-novel-dpxyrculnwwa.edgeone.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'fanqie-novel-dpxyrculnwwa'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Segmentation suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fanqie-novel-dpxyrculnwwa.edgeone.dev/

Page Load Overview

4.01s
Total Load Time
305 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

HTML Lang Attribute:zh-CN
Text Length:106 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content34% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
34%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.127.95Google · CDNUnited States
AS15169Google LLC
643.174.247.29Singapore
643.169.14.124Singapore
193--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E11102A619B0804D232093817CE0B829DC876D0F9B4E5A90F8A795ECCFB4293089F91D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hrECT8Sn6toN/KN/loPTEaX1LnKsNlUZnnKB8KWdVo7EM:tkhoNSN2bPX1xNWZk8q7J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1074:AMgABBAIAAAAEAAAARAAAAAABAAAAAAAAQAAAAAAIAIAAAAAAKQAAAAEAQAAAAAAAQAAAAAABACQAQggMAQAADAAAAAAAAAA

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:003c3c0000000000
Perceptual Hash:9a989c646565759b
Difference Hash:2030700400000000
Wavelet Hash:d8fcfce000000000
Color Hash:#2dd232

Other Hashes

Crop Resistant:2030700400000000

Scan History

Scan history not available

Unable to load historical scan data