Security Scan Report: www.apwa.org

Redirected to:
https://www.apwa.org/news-and-announcements/recognize-national-first-r...
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Submitted: Oct 28, 2025, 1:11:04 PMCompleted: Oct 28, 2025, 1:15:04 PMpubliccompleted
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Summary

This website contacted 130 IPs in 2 countries across 24 domains to perform 136 HTTP transactions. The main domain is apwa.org and was registered NaN years ago.

Submitted URL: https://www.apwa.org/news-and-announcements/recognize-national-first-responders-day-on-october-28-2/

Effective URL: https://www.apwa.org/news-and-announcements/recognize-national-first-responders-day-on-october-28-25/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns detected.

Safety Factors
Established organization (APWA) with long‑standing domain
Only standard search/contact forms present
Content aligns with public information about a recognized event
Domain age information unavailable

Details

Page Title

Recognize National First Responders Day on October 28

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.apwa.org' is registered and includes subdomain 'www'. Its registrable label 'apwa' stretches across 4 characters holding two vowels versus two consonants. Word splitting yields three words: a, pw, a. Median word length is 1 character. 'a' is most common in Hungarian usage. It also appears in Galician and Portuguese contexts.

Screenshot

Security scan screenshot of https://www.apwa.org/news-and-announcements/recognize-national-first-responders-day-on-october-28-2/

Page Load Overview

8.71s
Total Load Time
136
HTTP Requests
24
Domains
7.7 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:10,888 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%
forum
40%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
75162.159.134.42United States
AS13335CLOUDFLARENET
8172.64.147.188United States
AS13335CLOUDFLARENET
8142.250.185.238United States
AS15169GOOGLE
7172.66.171.172United States
AS13335CLOUDFLARENET
6172.67.68.21United States
AS13335CLOUDFLARENET
4142.250.181.227United States
AS15169GOOGLE
3142.250.185.170United States
AS15169GOOGLE
3216.239.32.36United States
AS15169GOOGLE
2142.250.186.104United States
AS15169GOOGLE
2142.250.74.195United States
AS15169GOOGLE
136130--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17FF356F3B690A43E02DFB2C2F53162156282D555CFA3684573F403FE63C2E916AEB196

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3aHUYEwW7/QO95+LJbM7xpTQO95+pXIazzJXc2Kpb0bX:wEZ7QDJbMlRQhXIazrX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165092:HrAuVYFCcEKwsEolhQQCuZUELIEUgALMBkAD4GBCAC5HEANCODPrKICEDSSTBgAFShkBAfFjGHhAXKpChcDGMeORqxBNBZKj

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:ff0000000000ffff
Perceptual Hash:9212ed6ced961aac
Difference Hash:2609e9c9cd153a32
Wavelet Hash:ff050c3c0000ffff
Color Hash:#bf9740

Scan History

Scan history not available

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