Security Scan Report: ios-uv.pulse.weatherbug.net

Submitted: Jan 31, 2026, 1:42:09 PMCompleted: Jan 31, 2026, 1:43:31 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is ios-uv.pulse.weatherbug.net and was registered NaN years ago.

Submitted URL: https://ios-uv.pulse.weatherbug.net

The Cisco Umbrella rank of the primary domain is #11,911 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
No Indicators of Compromise
No suspicious forms or external links
Domain age information unavailable

Details

Page Title

Welcome to OpenResty!

Scan Type

public

Language

🇺🇸

English

(63% confidence)

Category

technology software

(58%)

Domain Information

The domain 'ios-uv.pulse.weatherbug.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'ios-uv.pulse'. The registrable portion 'weatherbug' spans 10 characters holding 4 vowels versus six consonants. Splitting it apart reveals 2 words: weather, bug. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ios-uv.pulse.weatherbug.net

Page Load Overview

0.87s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:63%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:63%
Script Type:Latin
Text Length:440 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software58% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
58%
documentation technical
57%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
254.158.142.192Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B110DABC0971506AB4293913C9025391AC30B9787CCAC9EF18F09F9DF0C621E0969AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:ha11tpoWknjbJw2j6GXD05oJzBUziXiPgRiiP6if2iPTsoJWW19zuj:C1TwfJfj6mDX5B0irRessers

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1098:AAAAAAAAgIAAAgAAAAAAAAAAAAEEAAQAAAgQAAAAAACAAEAAAAAIAIIAgAAEAAAAAAEAAAAAAgAACAAAAAAAAAQAAAAAAAAE

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:c7c3efffffffffff
Perceptual Hash:b333333386cccc99
Difference Hash:0c0c100000000000
Wavelet Hash:03030f3f0f0f0f0f
Color Hash:#ac5388

Other Hashes

Crop Resistant:0c0c100000000000

Scan History

Scan history not available

Unable to load historical scan data