Security Scan Report: awfs.net

Redirected to: https://awfs.net/#/login

Submitted: Mar 25, 2026, 12:19:39 AMCompleted: Mar 25, 2026, 12:21:22 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 32 HTTP transactions. The main domain is awfs.net and was registered NaN years ago.

Submitted URL: https://awfs.net/

Effective URL: https://awfs.net/#/loginRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Meta tags are unrelated to any major brand
No network IDS alerts
Domain age information unavailable

Details

Page Title

xPET

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(28%)

Domain Information

The domain 'awfs.net' uses the network infrastructure generic top-level domain (.net) and has no subdomain. Its registrable label 'awfs' stretches across 4 characters split between one vowel and 3 consonants. Segmentation suggests two words: aw, fs. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://awfs.net/

Page Load Overview

16.15s
Total Load Time
49
HTTP Requests
5
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:218 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking28% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
28%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13142.251.143.99United States
AS15169Google LLC
12172.217.20.138United States
AS15169Google LLC
12103.215.76.143Hong Kong
AS329611Serverpulse_Africa_Ltd
1243.134.73.94Singapore, Singapore
AS132203Tencent Building, Kejizhongyi Avenue
494--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BCF39462B688244DEA3BCC85D18577BDB96FAA62C3434DD7EB113736CF821D3226121D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6sp0NVr7fnaM/51fuPlIHGvXNWPf1f4yH9sUnbauJ9BxEuMa8Qc1tblK1mklU5Qv:yrr7fnFBHm9AMyKkn/tEu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:159421:xagRNBAASQhsngAJGAaMQIAoihgaUmVkEXIQwKiRCGzgBEQjOgqkaZRYwH5kUAAAQAx1Jk6FYEpAAykFApIRSCyHAqEIAJAC

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:1800000000000000
Perceptual Hash:99999999999999cc
Difference Hash:1000000000000000
Wavelet Hash:3c3c000000000000
Color Hash:#79d27f

Other Hashes

Crop Resistant:1000000000000000

Scan History

Scan history not available

Unable to load historical scan data