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Security Scan Report: jamesgdps123456789012345678901234-u64dfflsjp.edgeone.app

Submitted: Apr 8, 2026, 5:56:47 PMCompleted: Apr 8, 2026, 5:57:57 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is jamesgdps123456789012345678901234-u64dfflsjp.edgeone.app and was registered NaN years ago.

Submitted URL: https://jamesgdps123456789012345678901234-u64dfflsjp.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or obfuscation
No redirects or cross‑origin credential exfiltration
Standard hosting platform subdomain
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(86%)

Domain Information

The domain name 'jamesgdps123456789012345678901234-u64dfflsjp.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'jamesgdps123456789012345678901234-u64dfflsjp'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jamesgdps123456789012345678901234-u64dfflsjp.edgeone.app/

Page Load Overview

0.46s
Total Load Time
2
HTTP Requests
1
Domains
14 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
Text Length:6,598 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

technology software86% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
86%
entertainment media
81%
documentation technical
81%
social media network
80%
cryptocurrency blockchain
80%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17A84D290EFF86FECA01E4648972DBB3B69256103B44D128CB1DD0DB4FF59989E0BB065

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:cksYY+okS242iwE+oQk48oe+Q8PpzJnvrgVp9F8uiCcIeYyo5xN3ptxNTPd9HzE8:cksYY+okS242iwE+oQk48oe+Q8PpzJnC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:388752:ABBkhEJkCFQu2KgyQQaoiBpAQYEtCJEpAYoEFVotCKUFZJASleGgSBCwUKHsRfgY0T83Rko0RQAgyCiGjBCo+KABNQIAVhQX

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:1c1c1c1c1c1c1c1c
Perceptual Hash:9a383c381cd9c7c7
Difference Hash:b030303030303030
Wavelet Hash:1c5c7c7c3c3c1c5c
Color Hash:#8fe06c

Other Hashes

Crop Resistant:b030303030303030

Scan History

Scan history not available

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