Security Scan Report: 17cgw1a.wiki

Submitted: Completed: publiccompleted
This website contacted 16 IPs in 3 countries across 9 domains to perform 119 HTTP transactions. The main domain is 17cgw1a.wiki and was registered 1 week ago.

Submitted URL: http://17cgw1a.wiki/archives/9223372036829711946/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Two-day-old mirror adult site promoting the purchase of date-rape drugs and depicting sexual assault, with outbound buy links to unranked cloud hosts and block-evasion domain instructions. No credential forms, but content is illegal and must be avoided and reported.

Risk Factors (5)
Promotes and links out to purchase of controlled/sedative drugs intended for incapacitating victims
Content depicts and normalizes sexual assault (drugging), which is illegal material
Very new domain (2 days) with mirror/alternate-domain evasion instructions
Unranked domain with rotating entry links and unranked third-party script/endpoint hosts
Illegal gambling and pirated adult content advertising embedded in page
Domain age information unavailable

Details

Page Title

最新流出迷奸视频美女同事被下药被拿啤酒瓶狠狠干 - 17吃瓜网other network

Scan Type

public

Domain Name Analysis

Within the .wiki top-level domain, '17cgw1a.wiki' is registered without a subdomain. The second-level label '17cgw1a' is 7 characters long with one vowel and three consonants, plus three digits. Word splitting yields five words: 17, c, gw, 1, a. The median word length lands at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://17cgw1a.wiki/archives/9223372036829711946/

Page Load Overview

5.88s
Total Load Time
15.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:zh-CN
Text Length:3,242 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content89% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
89%
entertainment media
88%
social media network
49%
news media journalism
44%
technology software
41%

Detected Features

Articles
Comments
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7172.66.171.172Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
736.150.90.74China
AS56046China Mobile communications corporation
713.33.50.71Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
7111.43.172.134China
AS132525HeiLongJiang Mobile Communication Company Limited
754.192.87.205Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
736.158.195.197China
AS56047China Mobile communications corporation
7188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.20.20.192Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7120.52.95.244China
AS133119China Unicom IP network
11916--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T178B4291A5DEA2D36635311C1CAEF23D9613F631B9D408C45F88DD2C8CFAAACC15E3A58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:K6yjqkxn2zTGo0Kl2kKRBswS5wtu1W6fC0SLyjhF9nfOYHs7/MRn1jiIohdo01JV:K6yyzTGo0KlduR6g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:495062:aCChaBA0YD88oDFoHrZchAQAwCcDQEAfhZAmywEZ0BgFDRKTBnYYICAEQYBCAQAEECFVEQHwOccTSFCiYoSsuWAh0BZwsRyJ

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:0020183c3c3c0000
Perceptual Hash:9b646793cc2c9366
Difference Hash:004854b068784408
Wavelet Hash:003c3c3c3c3c3c00
Color Hash:#b7bf40

Other Hashes

Crop Resistant:004854b068784408

Scan History

Scan history not available

Unable to load historical scan data