Security Scan Report: electriciansldn-ugf3xlgcfp.edgeone.app

Submitted: Mar 26, 2026, 8:56:19 PMCompleted: Mar 26, 2026, 8:57:36 PMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 14 HTTP transactions. The main domain is electriciansldn-ugf3xlgcfp.edgeone.app and was registered NaN years ago.

Submitted URL: https://electriciansldn-ugf3xlgcfp.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: 80%

3
Risk Score

No malicious activity detected, but the subdomain is new and low‑ranked; treat the site cautiously.

Risk Factors
Subdomain on hosting platform with unknown age
Low ranking domain
Safety Factors
No malicious Indicators of Compromise matches found
No JavaScript malware patterns detected
No password or payment fields present
No cross‑origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

Elec-tec | Electrical Solutions

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(55%)

Domain Information

Domain 'electriciansldn-ugf3xlgcfp.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'electriciansldn-ugf3xlgcfp'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://electriciansldn-ugf3xlgcfp.edgeone.app/

Page Load Overview

1.47s
Total Load Time
11
HTTP Requests
3
Domains
271 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:1,636 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical55% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.17.25.14United States
AS13335Cloudflare, Inc.
343.152.26.58Singapore
3146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5926319A6F31066A883D4A83BF75B863760D007C94ECD1C3BED57849FCAD54A9A3B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+YZ0LiMC+SQ6ev1z4epu9XrFVrrJR3cUSHDEuTCZsMcC2rNGrIn0yJYkoUR3t7df:leYVC1LoU/RmuLN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20597:VFIAHQEBnNZMqAxiQUcxsowHYgJFxRCFnSUohAOIBARDJCEAaxpAgKiRtABSyA4EACAyAB4oQIiAADoCohjvsRAcbMCeaigd

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:ff07000000000001
Perceptual Hash:8ed1f1d0f1ccce30
Difference Hash:d8ffe3f3f3e7e7ff
Wavelet Hash:ff0f111b0b13033f
Color Hash:#b787c5

Scan History

Scan history not available

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