Security Scan Report: rvlimoblog-dpmr94us3j17.edgeone.app

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Submitted: Jun 21, 2026, 10:29:14 AMCompleted: Jun 21, 2026, 10:30:25 AMpubliccompleted
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Summary

This website contacted 18 IPs in 3 countries across 18 domains to perform 2 HTTP transactions. The main domain is rvlimoblog-dpmr94us3j17.edgeone.app and was registered NaN years ago.

Submitted URL: https://rvlimoblog-dpmr94us3j17.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: 72%

2
Risk Score

The site shows no phishing, malware, or credential‑harvesting behavior; only minor risk due to unknown sub‑domain age and low ranking.

Risk Factors
Unknown sub‑domain creation date (could be newly created)
Low Cisco Umbrella ranking (455,732) for a domain claiming a public figure
Hosted on a generic platform sub‑domain (edgeone.app)
Safety Factors
Zero forms, no password or payment fields
No malicious network activity or credential exfiltration observed
No external link matches to known malicious domains
No IDS/Suricata alerts triggered
Domain age information unavailable

Details

Page Title

Thanapob Leeratanakajorn (Movie Actor) - Age, Birthday, Bio, Facts, Family, Net Worth, Height & More

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(49%)

Domain Information

You're looking at domain 'rvlimoblog-dpmr94us3j17.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'rvlimoblog-dpmr94us3j17'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. It segments into 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rvlimoblog-dpmr94us3j17.edgeone.app/

Page Load Overview

3.64s
Total Load Time
36
HTTP Requests
24
Domains
664 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:1,418 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content49% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

adult content
49%
entertainment media
48%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.3United States
AS13335Cloudflare, Inc.
2142.251.14.95United States
AS15169Google LLC
2104.18.11.207United States
AS13335Cloudflare, Inc.
2172.67.74.163United States
AS13335Cloudflare, Inc.
2172.67.69.4United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.66.151.162United States
AS13335Cloudflare, Inc.
2172.67.138.125United States
AS13335Cloudflare, Inc.
218.245.60.118United States
AS16509Amazon.com, Inc.
2104.26.5.100United States
AS13335Cloudflare, Inc.
3618--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5920A37A5DD983E77520397E180F2FCA90B843AD77688F4F9B673A89F819D30522650

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMuhnYf8zX+27qAKV3+QjhXRhRtnaLQJ6uB5BrwKFC6Uag49Uh84:3Quhnz+27qdrRTBjC6Uag4mhx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19682:ASADqIBCA1RJsUQwfSkSjAKTQBggitbDdCj0wgnCYsBWhggMASGB1lkQAAxRMMs5MgCkAIwVaBLBDkwIgIZIknOBQLpYIBkF

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:ffffffdfc7cfcfc3
Perceptual Hash:b9c6433138c7c739
Difference Hash:2c1000369e9a9a9e
Wavelet Hash:00fcfec3c3c3c3c2
Color Hash:#79d2bc

Scan History

Scan history not available

Unable to load historical scan data