Security Scan Report: slippery-indigo-56ch4pxwb8-99z1mz83l4.edgeone.app

Submitted: Feb 23, 2026, 9:02:40 PMCompleted: Feb 23, 2026, 9:03:50 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is slippery-indigo-56ch4pxwb8-99z1mz83l4.edgeone.app and was registered NaN years ago.

Submitted URL: https://slippery-indigo-56ch4pxwb8-99z1mz83l4.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; site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting platform with no suspicious activity
Content appears to be a benign file collection
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(36% confidence)

Category

government public service

(38%)

Domain Information

The domain 'slippery-indigo-56ch4pxwb8-99z1mz83l4.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'slippery-indigo-56ch4pxwb8-99z1mz83l4'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Splitting it apart reveals 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://slippery-indigo-56ch4pxwb8-99z1mz83l4.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:36%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:67 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

government public service38% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
38%
news media journalism
34%
documentation technical
33%
healthcare medical
30%
education learning
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE02C6CAEB9305C8A82BC0682FFF5724222DE017C448CD5DB9AE1F548F0518875EA3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBaIh1RaXQl:KrzhNK/lMHmGgdkqXId

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8741:IIUC1nASBQcQNDU8A02BhCAiSECEjQQBMFAJIABKiDKwAIGIIMR0wwKYCacCANaBsTicVWY2SEB6BQhBIAIOKmpCeCaWAQFB

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#382dd2

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data