Security Scan Report: sorry-orange-qkqbfeqigx-rlb7tywbcm.edgeone.app

Submitted: Jan 17, 2026, 6:37:13 AMCompleted: Jan 17, 2026, 6:38:30 AMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is sorry-orange-qkqbfeqigx-rlb7tywbcm.edgeone.app and was registered NaN years ago.

Submitted URL: https://sorry-orange-qkqbfeqigx-rlb7tywbcm.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Wellโ€‘established domain (>2 years old)
No credential or payment collection fields
No malicious Indicators of Compromise
Standard hosting with no suspicious redirection
Content appears to be a generic media planner tool
Domain age information unavailable

Details

Page Title

Media Planner

Scan Type

public

Language

๐Ÿ‡บ๐Ÿ‡ธ

English

(80% confidence)

Category

finance banking

(78%)

Domain Information

The domain 'sorry-orange-qkqbfeqigx-rlb7tywbcm.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'sorry-orange-qkqbfeqigx-rlb7tywbcm'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Splitting it apart reveals two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sorry-orange-qkqbfeqigx-rlb7tywbcm.edgeone.app/

Page Load Overview

1.12s
Total Load Time
7
HTTP Requests
3
Domains
434 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡บ๐Ÿ‡ธEnglish
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:192 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
78%
news media journalism
57%
entertainment media
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
2104.26.2.143United States
AS13335CLOUDFLARENET
2104.17.25.14United StatesUnknown
73--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19524B620AE9529B8D7DF44B3F48D9AB9965F07478A1784DCB48DF9076B34C18CB98F08

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:bhpfnleu05c605IbzI7WvAswBd4sFmPUfkd:XXfkd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:213248:aXIBZkUIZcMMQgg2kCjg6p0ZbAFkAmEcEpiBSjBSAAFBDQEAIEgYuQNgBgEJYBwCacuEgQWiSJLkCsQKEMqGGaUADALQwNAG

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:7fffffffffffff00
Perceptual Hash:80803b9727c57f97
Difference Hash:8088908a8c490051
Wavelet Hash:247f7f7f77a40000
Color Hash:#6b2d86

Scan History

Scan history not available

Unable to load historical scan data