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Security Scan Report: couponsvibesitus-dpj3k52h9qwd.edgeone.app

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Submitted: Jun 28, 2026, 10:33:25 PMCompleted: Jun 28, 2026, 10:34:34 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 6 domains to perform 1 HTTP transaction. The main domain is couponsvibesitus-dpj3k52h9qwd.edgeone.app and was registered NaN years ago.

Submitted URL: https://couponsvibesitus-dpj3k52h9qwd.edgeone.app/all-my-tears-has-been-used-up.html

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows no malicious forms, IoCs, or malware; it is low‑risk despite being on an unranked hosting subdomain.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain creation date is unknown
Safety Factors
Absence of forms that collect credentials or payment data
No external IDS or Suricata alerts
No malicious JavaScript behavior detected
Content appears to be informational article
Domain age information unavailable

Details

Page Title

All My Tears Have Been Used Up: Understanding Emotional Exhaustion

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(63%)

Domain Information

You're looking at domain 'couponsvibesitus-dpj3k52h9qwd.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'couponsvibesitus-dpj3k52h9qwd'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Word splitting yields 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://couponsvibesitus-dpj3k52h9qwd.edgeone.app/all-my-tears-has-been-used-up.html

Page Load Overview

1.86s
Total Load Time
14
HTTP Requests
10
Domains
93 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-US
Text Length:3,123 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
63%
adult content
60%
government public service
59%
blog personal website
55%
entertainment media
51%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
692.113.16.8Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
2142.251.127.95United States
AS15169Google LLC
2172.240.127.244United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.67.150.240United States
AS13335Cloudflare, Inc.
145--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
WordPress
75%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F6620A2BED80012C66764289A8D6F7FD6939C017E784CCE1B5ECB3789B867DB1C71605

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7HhnYf8zX+me26FH8rmJi/GWhgoC6Uag49U7A:7Hhnz+vl86Ji/pC6Uag4mk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15229:YAgoIuoQAAgADfoIkdGgiQwjZYDgEEkWgCONZANRDQEwYxgR2MAkFSgcQkjmCUjAKIcEDPEKkMAQmAnVqQAqAVrUHSCnghMQ

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:e787ffffc3838f87
Perceptual Hash:bcc33621e3c1e3c3
Difference Hash:0c3e20020a3e3a3e
Wavelet Hash:e782fefe80818783
Color Hash:#4053bf

Other Hashes

Crop Resistant:0c3e20020a3e3a3e

Scan History

Scan history not available

Unable to load historical scan data