Security Scan Report: discourse.weather-watch.com

Redirected to:
https://discourse.weather-watch.com/t/new-nws-alerts-problem-concernin...
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Submitted: Completed: publiccompleted
This website contacted 24 IPs in 1 country across 10 domains to perform 253 HTTP transactions. The main domain is weather-watch.com and was registered 24 years ago.

Submitted URL: https://discourse.weather-watch.com/t/new-nws-alerts-problem-concerning-extreme-heat-watch/75448/2

Effective URL:
https://discourse.weather-watch.com/t/new-nws-alerts-problem-concernin...
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Legitimate long-established weather-software forum thread. The 'ADOBE' brand flag is a false positive from a GDPR ad-vendor list entry; no impersonation, no IoCs, no malware. Only form is the forum's own login.

Safety Factors (5)
24-year-old established domain
Real community forum content with dated, solved user discussion
Self-branding (Weather-Watch Forum matches its own domain)
No cross-origin credential forms or credential exfiltration
No threat-intel, YARA, IDS, or Safe Browsing hits
Domain age information unavailable

Details

Page Title

New nws-alerts problem concerning Extreme Heat Watch - Ask a Question - Weather-Watch Forum

Scan Type

public

Domain Name Analysis

The domain 'discourse.weather-watch.com' uses the commercial generic top-level domain (.com) with subdomain 'discourse'. The core label 'weather-watch' covers 13 characters holding 4 vowels versus 8 consonants; it also includes one hyphen. It segments into 2 words: weather, watch. Median word length is 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://discourse.weather-watch.com/t/new-nws-alerts-problem-concerning-extreme-heat-watch/75448/2

Page Load Overview

13.32s
Total Load Time
4.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:66,770 chars
Detector Agreement:100%

Website Classification

Primary Category

social_media50% confidence
Type: spa
Method: structural

All Detected Categories

social_media
50%
corporate
50%
news/blog
40%

Detected Features

Login Form
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10192.178.183.97Google · CDNUnited States
AS15169Google LLC
10104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10216.239.32.36Google · CDNUnited States
AS15169Google LLC
10142.251.14.154Google · CDNUnited States
AS15169Google LLC
10192.178.183.138Google · CDNUnited States
AS15169Google LLC
10142.251.14.95Google · CDNUnited States
AS15169Google LLC
10142.251.127.156Google · CDNUnited States
AS15169Google LLC
10142.250.154.94Google · CDNUnited States
AS15169Google LLC
10142.251.14.132Google · CDNUnited States
AS15169Google LLC
25324--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T125352935F500153F863746D8A76AAF3A318A924FE0D40820F5ED876847E6DBCB52F297

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:gfGXwjejUx0Zd0rkiv+GF2MCuvkkwdfohpi4JnsG:/Ix0Zd0rkiG5AkkZpi4Jn5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1095539:BhkmgTyAS06ACAwLOgg6iABRAQIaQtRBp4WQJMGBIgAYjIgigIByIEWQ+CFgNGt4AUgQClkCSgUySAZ5EJeUIREYEnwQEBQI

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:00e7e7e7e7e3271f
Perceptual Hash:b37a1a7a1a4a7a0b
Difference Hash:395e5e5e5e0ed6f2
Wavelet Hash:0083a7a7e3e3271f
Color Hash:#d23d2d

Other Hashes

Crop Resistant:395e5e5e5e0ed6f2

Scan History

Scan history not available

Unable to load historical scan data