Security Scan Report: still-gray-osfim7xasn-u8mxpqw9g9.edgeone.app

Submitted: Mar 22, 2026, 6:26:04 PMCompleted: Mar 22, 2026, 6:27:15 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is still-gray-osfim7xasn-u8mxpqw9g9.edgeone.app and was registered NaN years ago.

Submitted URL: https://still-gray-osfim7xasn-u8mxpqw9g9.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 suspicious activity detected; the site appears to be a benign file listing.

Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting platform subdomain without malicious content
No redirects or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

documentation technical

(82%)

Domain Information

Domain 'still-gray-osfim7xasn-u8mxpqw9g9.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'still-gray-osfim7xasn-u8mxpqw9g9'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Breaking it apart gives two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://still-gray-osfim7xasn-u8mxpqw9g9.edgeone.app/

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:275 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical82% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
82%
technology software
72%
entertainment media
29%
government public service
28%
news media journalism
25%

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

T12AB27481EFF52FDCB41F81549B6E7B3A2A29A003A48D819CB59E0E709F49585F0FB174

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KrzhNK/lMHmGgdkqfWjlj6jejdjAj2j4jwjAjSjqjkjBMjd5jUjwj8d:shNIMi+MWjlj6jejdjAj2j4jwjAjSjqs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23836:HBlQUWcECNFCPJQmC8WiwACCgMGMDwRgFAEOAAArgFdEaIoMimAswyCiGAEHYMAAlRSXDyMk1CXwICRIiUCiqToALRaCRY0D

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:9c9c3c3c3c3c3c3c
Perceptual Hash:de3c383c6528c763
Difference Hash:3030707070707171
Wavelet Hash:dc9c3c3c3c3c1c3c
Color Hash:#863a2d

Other Hashes

Crop Resistant:3030707070707171

Scan History

Scan history not available

Unable to load historical scan data