Security Scan Report: mangatagsitustox-dp5hgk2ak7l1.edgeone.app

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Submitted: Jun 9, 2026, 1:24:13 PMCompleted: Jun 9, 2026, 1:25:31 PMpubliccompleted
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Summary

This website contacted 23 IPs in 4 countries across 25 domains to perform 1 HTTP transaction. The main domain is mangatagsitustox-dp5hgk2ak7l1.edgeone.app and was registered NaN years ago.

Submitted URL: https://mangatagsitustox-dp5hgk2ak7l1.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The site mimics the 7‑Eleven brand on a low‑ranked edgeone.app subdomain with unknown age and multiple redirects, but lacks credential collection or malware, resulting in moderate risk.

Risk Factors
Brand impersonation without matching domain
Low domain reputation
Unknown subdomain age
Excessive redirects
Safety Factors
No login or payment forms
No Indicators of Compromise matches
No JavaScript malware or credential exfiltration detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

7-Eleven coffee and Slurpee prices as convenience store scraps $1 offer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(43%)

Domain Information

Domain 'mangatagsitustox-dp5hgk2ak7l1.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mangatagsitustox-dp5hgk2ak7l1'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Splitting it apart reveals 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://mangatagsitustox-dp5hgk2ak7l1.edgeone.app/

Page Load Overview

9.83s
Total Load Time
44
HTTP Requests
33
Domains
6.9 MB
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-US
Text Length:1,772 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
43%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22146.75.121.242Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1146.75.120.155Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1101.33.10.10Frankfurt am Main, Hesse, Germany
1172.240.108.84United States
AS7979Servers.com, Inc.
118.172.112.78United States
AS16509Amazon.com, Inc.
1188.114.96.3United States
AS13335Cloudflare, Inc.
195.100.110.23Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
118.245.60.118United States
AS16509Amazon.com, Inc.
1104.21.0.120United States
AS13335Cloudflare, Inc.
1194.1.147.96Manchester, England, United Kingdom
AS210250K Media Tech Ltd.
4423--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14AB2296761C9283B564103C2B04232ECB52BAD07DB67C9E1B6ABB35B97C1ED38D31536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SGVRhnYf8zX+l+N1fyrtKqP6niOspy/A7VD3D0TQUJja/5/zhb5C/kNnZZ1LhNov:RVRhnz+iBqwe7D3D0TNJja/5/V5C/kNA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23874:gwVikSwLgEjjAMPmoG7KIQAXARQoGaRswECgADAETCKCCRoefKVIN9SIIGRVADYYLJCGdHAYwgYKRCgRggPRViIWjcLVlEIA

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:000000001e1e7e7c
Perceptual Hash:9669c396c96b31c6
Difference Hash:61610109e4ececc0
Wavelet Hash:3c1000003f7f7f7f
Color Hash:#c2d279

Scan History

Scan history not available

Unable to load historical scan data