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Security Scan Report: greenleavesteablog-b054003c86-dpjc4vumrh2d.edgeone.dev

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Submitted: Jun 30, 2026, 12:08:07 AMCompleted: Jun 30, 2026, 12:10:34 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 3 HTTP transactions. The main domain is greenleavesteablog-b054003c86-dpjc4vumrh2d.edgeone.dev and was registered NaN years ago.

Submitted URL: https://greenleavesteablog-b054003c86-dpjc4vumrh2d.edgeone.dev/beyonce-and-lady-gaga-songs.html

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site appears to be a benign article with no credential collection, but high JS obfuscation and unknown sub‑domain age warrant moderate caution.

Risk Factors
High JavaScript obfuscation score (critical)
Unknown sub‑domain age on a hosting platform
Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise or YARA detections
Content classified as an article; brand names are mentioned in a reporting context
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Beyoncé and Lady Gaga Songs: A Side-by-Side Journey Through Pop's Boldest Voices

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(71%)

Domain Information

The domain 'greenleavesteablog-b054003c86-dpjc4vumrh2d.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'greenleavesteablog-b054003c86-dpjc4vumrh2d'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three 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://greenleavesteablog-b054003c86-dpjc4vumrh2d.edgeone.dev/beyonce-and-lady-gaga-songs.html

Page Load Overview

80.14s
Total Load Time
17
HTTP Requests
11
Domains
214 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:5,328 chars
Detector Agreement:60%

Website Classification

Primary Category

documentation technical71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
71%
entertainment media
55%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.174.246.29Singapore
AS139341ACE
3142.251.13.95United States
AS15169Google LLC
3172.67.150.240United States
AS13335Cloudflare, Inc.
3195.78.67.56Poland
AS41079Cyber_Folks S.A.
3172.240.127.243United States
AS7979Servers.com, Inc.
175--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0723B27EF9111286AF681D8A4C2F3FDB9798415F7458CB474AEB318CB8A5D78473348

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:74hnYf8zX+9kFPP0mjIhdq3ZkorWag4MVdG:74hnz+CqmEroZBrWag4WQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17518:jCJJfgEKAJmEIeAAJkODMA5BrKkuQkYUPAIwwGABVlAaElkGJDYhCx7NFABARIAAm+BQ0TLwBTlVkpwGAAEyDEIACQSEBFEc

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:e783ffff838b8383
Perceptual Hash:bcc734a0e2e3c2e3
Difference Hash:0e36281727373737
Wavelet Hash:e782ffff81818181
Color Hash:#79d292

Other Hashes

Crop Resistant:0e36281727373737

Scan History

Scan history not available

Unable to load historical scan data