Security Scan Report: bocchifans.top

Redirected to: https://bocchifans.top/#/uni_modules/uni-id-pages/pages/login/login-withpwd?uniIdRedirectUrl=%252Fpages%252Findex%252Findex

Submitted: Mar 19, 2026, 4:45:25 AMCompleted: Mar 19, 2026, 4:46:55 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 8 domains to perform 1 HTTP transaction. The main domain is bocchifans.top and was registered NaN years ago.

Submitted URL: https://bocchifans.top/

Effective URL: https://bocchifans.top/#/uni_modules/uni-id-pages/pages/login/login-withpwd?uniIdRedirectUrl=%252Fpages%252Findex%252FindexRedirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

New domain with a login‑style title and heavily obfuscated scripts; likely a phishing site – do not provide credentials.

Risk Factors
Brand‑new domain (<7 days) – high likelihood of phishing use
Obfuscated JavaScript with dynamic code execution (eval, Function)
Login‑oriented page title without visible form – suggests hidden credential collection
Domain age information unavailable

Details

Page Title

账号密码登录

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

social media network

(63%)

Domain Information

Within the .top top-level domain, 'bocchifans.top' is registered with no subdomain. The core label 'bocchifans' covers 10 characters split between 3 vowels and 7 consonants. Tokenizing the label suggests 3 words: boc, chi, fans. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bocchifans.top/

Page Load Overview

0.68s
Total Load Time
38
HTTP Requests
3
Domains
23 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:109 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
63%
e-commerce shopping
63%
technology software
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
843.129.139.165United States
5104.21.79.254United States
AS13335Cloudflare, Inc.
5124.220.205.65Singapore
543.129.2.244Singapore
AS132203Tencent Building, Kejizhongyi Avenue
5203.205.137.101UnknownUnknown
5203.205.137.231UnknownUnknown
5203.107.86.23China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
387--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E623F31740238A75137D7C1B0EA6F0D6683A33AC685196DFBEA07556FC9CF588B1A38

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:kQX8EaCWEl4ITfYQ4Enh8UYF1uz84FCeC7yjC5y02FRPCFS5LfRf9LfRjVLfR3wB:3X8EaCWEl4ITfYQ4Enh8UYF1uz8GCeC9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14829:S6UAISB4NDTxCUAGHIQAHwIgUAxgtAKUgaDrAUDIQDrggiUkARzjJzWElCIAgRCYkRNDTmAFdJFCAUIAcChq4gIADDsoSTQE

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:ffe7ffe7e7ffffff
Perceptual Hash:b333cccc662c9999
Difference Hash:000c004c0c000800
Wavelet Hash:00e7e3e3243c3c3c
Color Hash:#785d3a

Other Hashes

Crop Resistant:000c004c0c000800

Scan History

Scan history not available

Unable to load historical scan data