Security Scan Report: 59br-wops.top

Redirected to: https://59br-wops.top/

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Submitted: Jan 18, 2026, 12:51:19 AMCompleted: Jan 18, 2026, 12:52:36 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 30 HTTP transactions. The main domain is 59br-wops.top and was registered NaN years ago.

Submitted URL: http://59br-wops.top/

Effective URL: https://59br-wops.top/Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Site shows no malicious indicators; low risk despite being a newly registered domain.

Safety Factors
Brand‑new domain but no credential or payment collection
Unranked domain but no evidence of brand impersonation
No suspicious OCR text indicating phishing lures
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

e-commerce shopping

(31%)

Domain Information

Domain '59br-wops.top' uses the .top top-level domain and has no subdomain. The registrable portion '59br-wops' spans 9 characters holding one vowel versus five consonants, notching two digits and 1 hyphen. Tokenizing the label suggests four words: 59, br, wop, s. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://59br-wops.top/

Page Load Overview

2.53s
Total Load Time
30
HTTP Requests
3
Domains
5.6 MB
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
Text Length:560 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping31% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
31%
corporate
25%

Detected Features

Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.16.174.226United States
AS13335CLOUDFLARENET
10172.67.68.122United States
AS13335CLOUDFLARENET
1018.139.243.42Singapore, Singapore
AS16509AMAZON-02
303--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16BA24066E9F19477016390E0A5A27F0D7FD1B60BD692060077FC1BC02FA6DE6CA1396E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:5+yunKngH5utZFNxN719zNkQ4QANHQjTFNgFNiSIpNoTQmFNqN/UwaQYfhJQj1+y:5QnKa5uHXxN719zNkQ4QUHQjTXgXiSIv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23131:kAAqABpGYAkk1IoDIRVeAkVBGEYMQgFJgAJcFBQSLo4IBLDyZzg9iIgRweRhCQQTgKgwBjWACSYgFIB8CEIaTAgUJ0AaniqJ

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:ffffc1c1c7ffcfcf
Perceptual Hash:f16e9c94626b4d31
Difference Hash:66101b0b1f121a1a
Wavelet Hash:a2cec0c1c3c1cfcf
Color Hash:#8790c5

Scan History

Scan history not available

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