Security Scan Report: 97345.2awu.top

Submitted: Apr 15, 2026, 12:37:54 PMCompleted: Apr 15, 2026, 12:39:47 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is 97345.2awu.top and was registered NaN years ago.

Submitted URL: https://97345.2awu.top

The Cisco Umbrella rank of the primary domain is #744,180 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

97345.2awu.top

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

technology software

(70%)

Domain Information

You're looking at domain '97345.2awu.top' on the .top top-level domain and includes subdomain '97345'. The core label '2awu' covers 4 characters holding two vowels versus 1 consonant, notching 1 digit. Word splitting yields 3 words: 2, a, wu. The median word length lands at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://97345.2awu.top

Page Load Overview

1.17s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:68%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:68%
Script Type:Latin
Text Length:86 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
57%
cryptocurrency blockchain
48%
news media journalism
44%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
238.48.181.149Los Angeles, California, United States
AS54600PEG TECH INC
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:VfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8Oldq:yhoC9JSqzzbs6o3Sj3gcrsw2eAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184461:AkFSgXAVFzxBMBrobhgghakIgQxyAWkrSCKFAdiEMVQaAIKUAQghgCAAACEbrmEAGU1UCqRcogSShAZBKA5YI0gcoVgQAApR

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:ffcfc3cfffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#93551f

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

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