Security Scan Report: daily-lime-e08yvbf3cw-i2i58srdgl.edgeone.app

Submitted: Mar 16, 2026, 4:36:03 PMCompleted: Mar 16, 2026, 4:37:17 PMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 5 HTTP transactions. The main domain is daily-lime-e08yvbf3cw-i2i58srdgl.edgeone.app and was registered NaN years ago.

Submitted URL: https://daily-lime-e08yvbf3cw-i2i58srdgl.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: 80%

4
Risk Score

Page appears to be a legitimate marketing specialist site; no malicious activity detected but brand mention on a new subdomain warrants caution.

Risk Factors
Brand mention on a newly created subdomain of a free hosting platform
Subdomain creation date unknown (potentially brand‑new)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
JavaScript behavior normal (no exfiltration, no eval to external domains)
External resources are legitimate (connect.facebook.net, fonts.googleapis.com, www.facebook.com)
Domain age information unavailable

Details

Page Title

Isaac Digital — Facebook Ads & Sales Funnels Specialist

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(87%)

Domain Information

The domain name 'daily-lime-e08yvbf3cw-i2i58srdgl.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'daily-lime-e08yvbf3cw-i2i58srdgl'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Tokenizing the label suggests two 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://daily-lime-e08yvbf3cw-i2i58srdgl.edgeone.app/

Page Load Overview

1.30s
Total Load Time
7
HTTP Requests
4
Domains
109 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
Text Length:6,583 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network87% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
87%
e-commerce shopping
86%
government public service
83%
corporate business
83%
adult content
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
357.144.110.128Warsaw, Mazovia, Poland
AS32934Facebook, Inc.
243.152.26.58Singapore
2142.251.36.106United States
73--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13323082261752022E177D0D07A97675F67A8D503F80B1278B6FD464CCBCEC85AE23B9E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:YH+OOLUdS+25zsDCCVX3x+7MbX76hjRo0FBpiIIBIIIIIIIuIIIIIIIuIIIIIII2:W+OOLUdS+isOCVX3x+7MbX76hjRo07p4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48199:CBkQgIxhAEkdwoHtlgGNSwAEQEQXZCEEsUEDoJDSVMQEcBoRBEASEIUFoNExMKVskHRcECAZAAMQIkQYwwCSO4QC2y1AEBoA

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:0341e1c161c1c000
Perceptual Hash:eaa10f1e0ff8e0a3
Difference Hash:2f8d9585810121c1
Wavelet Hash:03c3e3e1e1f1e1e1
Color Hash:#bf8840

Scan History

Scan history not available

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