Security Scan Report: aift.prof

Redirected to: https://aift.prof/h5/#/

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Submitted: Jan 3, 2026, 2:11:17 PMCompleted: Jan 3, 2026, 2:12:41 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 6 HTTP transactions. The main domain is aift.prof and was registered NaN years ago.

Submitted URL: https://aift.prof/

Effective URL: https://aift.prof/h5/#/Redirected

AI Security Verdict

Safe Website

Confidence: 70%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
New domain but no malicious indicators detected
No credential or payment collection fields present
Domain age information unavailable

Details

Page Title

AiFei

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

cryptocurrency blockchain

(89%)

Domain Information

Domain 'aift.prof' uses the .prof top-level domain and has no subdomain. The second-level label 'aift' is 4 characters long split between two vowels and two consonants. Breaking it apart gives three words: a, if, t. The median word length lands at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aift.prof/

Page Load Overview

7.66s
Total Load Time
22
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh-CN
Text Length:2,697 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

cryptocurrency blockchain89% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
89%
cryptocurrency
30%
technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11143.92.36.168Singapore
AS152194CTG Server Limited
11118.25.42.241Singapore
222--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17C541972958421ACB327CD219BC0A7C8E264D132E5520FEDF255362DCFC7BDA11A3B5A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LDrxmNH9yDqfB+tc/2QLUOuhOicImgcaqTND1j8fA2V:L89SqfB0c+QOZmgcaqJDCfB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:282366:QIEDAabGKGFFQhJSeQrRqTg0AAKo5ISeEhgQssOWVFZOAE4gV5SDakAwSiABi4KIY0JaIFLBJJACAQpEDYDSIIECtJIWhVNx

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:3c3c000000000000
Perceptual Hash:cececececc243131
Difference Hash:2020040000000000
Wavelet Hash:3f3f3f3f00000000
Color Hash:#2d90d2

Other Hashes

Crop Resistant:2020040000000000

Scan History

Scan history not available

Unable to load historical scan data