Security Scan Report: depressed-olive-zmtw5i079n-vuk59sy58f.edgeone.app

Submitted: Mar 1, 2026, 7:07:32 PMCompleted: Mar 1, 2026, 7:08:57 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 depressed-olive-zmtw5i079n-vuk59sy58f.edgeone.app and was registered NaN years ago.

Submitted URL: https://depressed-olive-zmtw5i079n-vuk59sy58f.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%

3
Risk Score

No malicious indicators detected; low risk despite new subdomain.

Safety Factors
No credential or payment collection fields
No malicious JavaScript patterns detected
No network IDS alerts
Standard cross‑origin request to a public IP lookup service
Free hosting platform subdomain without suspicious behavior
Domain age information unavailable

Details

Page Title

ID BANNING SYSTEM • SCAN ID

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

You're looking at domain 'depressed-olive-zmtw5i079n-vuk59sy58f.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'depressed-olive-zmtw5i079n-vuk59sy58f'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Segmentation suggests 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://depressed-olive-zmtw5i079n-vuk59sy58f.edgeone.app/

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
8 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:346 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
53%
government public service
38%
healthcare medical
32%

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

T1B69263A66ABB00166D57E0B52FB393463A65E103984BCD193FDC5384CF86EC9DC63788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:34fB0NNZ0EeGdPVbr+XuaQOGH7NsYLNOKJif23F0PIvANMgZtYmJHp+IMwg+S9W/:g6n3IMu2zzkrxChBIghY9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20067:JRBOGMAMsAOrRMmmgggAMCOHwAEEAUlEQgikQxCyCiAwEGboFVgFIUkACvBQBbTGqTgI4+gB0QoknDSBFWCFVoieXQUYGCBO

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:d8f8e0e0e0d8d800
Perceptual Hash:c8f38cdc23cc3333
Difference Hash:31310d0d0d913101
Wavelet Hash:f9f9e1e1e1c11911
Color Hash:#d2a079

Other Hashes

Crop Resistant:31110d0d0d913101

Scan History

Scan history not available

Unable to load historical scan data