Security Scan Report: icondeck-dgp7n9601v.edgeone.app

Submitted: Jan 17, 2026, 10:43:02 AMCompleted: Jan 17, 2026, 10:44:20 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 155 HTTP transactions. The main domain is icondeck-dgp7n9601v.edgeone.app and was registered NaN years ago.

Submitted URL: https://icondeck-dgp7n9601v.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

Legitimate site with no apparent security concerns.

Safety Factors
Established domain (>2 years old)
No credential or payment collection fields
No malicious Indicators of Compromise
Low ranking does not imply malicious activity in this context
Domain age information unavailable

Details

Page Title

图标库 - 批量选择开关 + 暗黑模式

Scan Type

public

Language

🇺🇸

English

(31% confidence)

Category

social media network

(98%)

Domain Information

The domain name 'icondeck-dgp7n9601v.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'icondeck-dgp7n9601v'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Segmentation suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://icondeck-dgp7n9601v.edgeone.app/

Page Load Overview

0.40s
Total Load Time
155
HTTP Requests
2
Domains
1.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:31%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:31%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:1,383 chars
Detector Agreement:67%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

social media network98% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
98%
entertainment media
93%
technology software
81%
documentation technical
69%
news media journalism
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7843.152.26.58Singapore
77104.16.174.226United States
1552--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176437E32D491AA7343374CA471A5560A3252830ACE934C1DB7DE87D54FFACC9EE9E29C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PRcNssTg37LbmD0itRiS/W4d7+OQh75Gt6UsRE/+cJgDj8/rOKEDE+DUlUa:p1t37LbSNnW4d7y0+cJgDj8/6I+DYd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58812:gFjgxKIghShKEYRCAgE37IgoDBZQkqkiEBQZVaDNYCHBYehYLbBGGjTkASMFYFFKgFSADVnQ8yAxwIFRSBpGlCIsDUQDTtgV

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:ffffff7f7f0c0000
Perceptual Hash:c2c47b88ee1d5aa5
Difference Hash:808080808299c949
Wavelet Hash:fe7efe7e7d000000
Color Hash:#aca653

Other Hashes

Crop Resistant:808080808299c949

Scan History

Scan history not available

Unable to load historical scan data