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Security Scan Report: damaged-indigo-sga7frvhqa-p7tng1je6g.edgeone.app

Submitted: Mar 18, 2026, 5:11:25 PMCompleted: Mar 18, 2026, 5:12:43 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 9 HTTP transactions. The main domain is damaged-indigo-sga7frvhqa-p7tng1je6g.edgeone.app and was registered NaN years ago.

Submitted URL: https://damaged-indigo-sga7frvhqa-p7tng1je6g.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: 96%

0
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
Low JavaScript obfuscation, no YARA malware matches
Only benign external domains (fonts.googleapis.com, fonts.gstatic.com)
No redirects or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

EXAM MISSION CONTROL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(68%)

Domain Information

Within the application-focused generic top-level domain (.app), 'damaged-indigo-sga7frvhqa-p7tng1je6g.edgeone.app' is registered and includes subdomain 'damaged-indigo-sga7frvhqa-p7tng1je6g'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. Segmentation suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://damaged-indigo-sga7frvhqa-p7tng1je6g.edgeone.app/

Page Load Overview

0.69s
Total Load Time
9
HTTP Requests
3
Domains
175 KB
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:1,782 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software68% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
68%
documentation technical
66%
adult content
42%
education learning
42%
government public service
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
3142.251.36.99United States
AS139341
3142.251.141.106United StatesUnknown
93--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12653412182F5113752A38DA52E324F0B6B64DA03C94A1640BBBD56C58FFED86ED3376C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:JU3kEKBJY/9Vmr+bul6HGPTnoctME2eojaeMq/V6SUu7sQGWS1:aXRL2T2IQGWK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66640:oEA+JUCbp8CwSgGDhgMIQAEBSBAlVgIWEgqQDPIBg4Akj0PnsQ5QYRAisIG1ijAYEsABqJFhTAgBZEwAOGmAIRUCBBwBE4gE

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:c0c1c341c3c1c3ff
Perceptual Hash:e87b7072706b29e8
Difference Hash:8383938383838382
Wavelet Hash:c0c101c3c3c3d7ff
Color Hash:#58783a

Other Hashes

Crop Resistant:8383938383838382

Scan History

Scan history not available

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