Security Scan Report: lensanetworkblog-dpmeobwj7c3a.edgeone.app

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Submitted: Jun 29, 2026, 3:10:43 PMCompleted: Jun 29, 2026, 3:11:55 PMpubliccompleted
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Summary

This website contacted 27 IPs in 11 countries across 28 domains to perform 2 HTTP transactions. The main domain is lensanetworkblog-dpmeobwj7c3a.edgeone.app and was registered NaN years ago.

Submitted URL: https://lensanetworkblog-dpmeobwj7c3a.edgeone.app/

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

No malicious activity detected; the site is low‑risk and appears benign.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain creation date is unknown (hosted on edgeone.app)
Safety Factors
Absence of login or payment forms
No malicious JavaScript or obfuscation detected
No external threat‑intel or IDS alerts
Content appears to be a tutorial/blog page (entertainment media category)
Hosting platform is a known developer preview service
Domain age information unavailable

Details

Page Title

photoshop how to use slice tool

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(88%)

Domain Information

Domain 'lensanetworkblog-dpmeobwj7c3a.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'lensanetworkblog-dpmeobwj7c3a'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Word splitting yields 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://lensanetworkblog-dpmeobwj7c3a.edgeone.app/

Page Load Overview

3.39s
Total Load Time
42
HTTP Requests
37
Domains
6.2 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:2,613 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
88%
government public service
61%
documentation technical
60%
adult content
56%
news media journalism
47%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16172.240.127.242United States
AS7979Servers.com, Inc.
1146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
143.152.26.58Singapore
1188.114.96.3United States
AS13335Cloudflare, Inc.
194.32.111.10Italy
AS8612Tiscali SpA
113.35.58.72United States
AS16509Amazon.com, Inc.
1160.153.0.168United States
AS209242Cloudflare London, LLC
1172.66.151.14United States
AS13335Cloudflare, Inc.
180.74.142.100Switzerland
AS21069METANET AG
191.201.60.87Sweden
AS44136ODERLAND Webbhotell AB
4227--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E4A20A7B52C4153A974302C2308173FD746FBE06EA53C4F1B5BBB3669782EC7A962429

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SGWhnYf8zX+eTLu/jl6MpIEsL0C6Ojm8L6xmRhKoC6Uag49Uc7:RWhnz+eTLu/jzpBC6d8ecRhC6Uag4m6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23268:lL0EkCACeYxJFapcnUgaTZlhkwCITwAcogBTMiABBER0GCqIvSANAAbBPIAAFgAbBhBAihIvCipvgShSpNIY0yoUqRKBFKgy

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:000000007e7e7c7c
Perceptual Hash:c23c618e9b6c66d3
Difference Hash:71650175f0e4d0d0
Wavelet Hash:1800001c7f7f7f7e
Color Hash:#3a7078

Scan History

Scan history not available

Unable to load historical scan data