Security Scan Report: giant-gray-r638ks31co-bbvs4krigc.edgeone.app

Submitted: Mar 10, 2026, 3:20:23 PMCompleted: Mar 10, 2026, 3:22:02 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 4 HTTP transactions. The main domain is giant-gray-r638ks31co-bbvs4krigc.edgeone.app and was registered NaN years ago.

Submitted URL: https://giant-gray-r638ks31co-bbvs4krigc.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

No malicious activity detected; low‑risk site on edgeone.app subdomain.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new site)
Safety Factors
No forms or password fields present
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
No network IDS alerts
Domain age information unavailable

Details

Page Title

Document

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(73%)

Domain Information

The domain 'giant-gray-r638ks31co-bbvs4krigc.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'giant-gray-r638ks31co-bbvs4krigc'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and 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://giant-gray-r638ks31co-bbvs4krigc.edgeone.app/

Page Load Overview

13.17s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:828 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software73% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
73%
documentation technical
43%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
0142.251.141.67Singapore
0142.250.186.42Singapore
23--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C572D7A1837241F4B58E521CA3E623063F74811B7974CA8C770E2B646F82FA764A7FD5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:JnFkI0QA8bJO2JxKzXw83O6kg8A/sVV+/amJ5Do:JnFkIp/bXGJV/smamJ5Do

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16969:KTYOCyIEiAMIAgAhUwCoYwBIACw5LQBEHaBcGIMRpMwEVoRhgQ86IiUGYWFBo2m5CEQBEOMSFlJo3JZESBEGPAQAQqJI0McA

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:ffffe7e7ffffffff
Perceptual Hash:e626999999666666
Difference Hash:00100c0800000000
Wavelet Hash:ffffe7e700000000
Color Hash:#865c2d

Other Hashes

Crop Resistant:00100c0800000000

Scan History

Scan history not available

Unable to load historical scan data