Security Scan Report: aksarasantaisphere-dpc9bj3xyvxw.edgeone.app

Site favicon
Submitted: Jun 15, 2026, 12:32:25 AMCompleted: Jun 15, 2026, 12:33:33 AMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is aksarasantaisphere-dpc9bj3xyvxw.edgeone.app and was registered NaN years ago.

Submitted URL: https://aksarasantaisphere-dpc9bj3xyvxw.edgeone.app/baton-rouge-current-radar.html

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 page is an informational article with no forms, no malicious indicators, and only low‑risk factors such as unknown subdomain age and low ranking.

Risk Factors
Unknown subdomain age (could be newly created)
Low Cisco Umbrella ranking (#455,732)
Hosted on a generic subdomain of a hosting platform
External analytics domains (statcounter, histats) present
Safety Factors
No forms collecting credentials or payment data
No malicious JavaScript patterns detected
Content is informational weather article
No cross‑origin credential exfiltration observed
No brand impersonation or phishing cues
Domain age information unavailable

Details

Page Title

Baton Rouge Current Radar: Tracking Weather and Storms in Real-Time

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(63%)

Domain Information

Domain 'aksarasantaisphere-dpc9bj3xyvxw.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'aksarasantaisphere-dpc9bj3xyvxw'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Segmentation suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aksarasantaisphere-dpc9bj3xyvxw.edgeone.app/baton-rouge-current-radar.html

Page Load Overview

1.64s
Total Load Time
14
HTTP Requests
10
Domains
130 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:2,981 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
63%
corporate
35%
documentation technical
26%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.21.0.120United States
AS13335Cloudflare, Inc.
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.240.127.234United States
AS7979Servers.com, Inc.
2142.250.154.95United States
AS15169Google LLC
145--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14562E9A7BA81113867120699B0C3F2BC797D842B9781CEA1F49DF7789BC62DBC470658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dGHhnYf8zX+jdw/wzwCq8gT7qaFPEwOoNjag4n+Uc:0Hhnz+jdU8HiFFMYNjag4+f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15543:CD0DBETBDg0Ik7DCWATQHRQCiQAEABGgoUjoIg7DpCQAKnEARIGCExKECwDGGhYAhJI7aSCkhQB+Jw2IgB0bEAZth7EIoCsg

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:82c7ffffdf838383
Perceptual Hash:bdc53c386539c2d1
Difference Hash:162e0002123b1f3f
Wavelet Hash:82fefec2c3838383
Color Hash:#b287c5

Other Hashes

Crop Resistant:162e0002123b1f3f

Scan History

Scan history not available

Unable to load historical scan data