Security Scan Report: www.401gives.org

Redirected to:
https://www.401gives.org/business_fundraisers
Site favicon
Submitted: Jan 29, 2026, 8:53:39 AMCompleted: Jan 29, 2026, 8:55:14 AMpubliccompleted
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Summary

This website contacted 21 IPs in 2 countries across 18 domains to perform 33 HTTP transactions. The main domain is 401gives.org and was registered NaN years ago.

Submitted URL: https://www.401gives.org/business_fundraisers/18494/how-do-i-get-technical-support-from-xfinity-2026-complete-support-guide?business_fundraiser_id=18494

Effective URL: https://www.401gives.org/business_fundraisersRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Established domain with multi‑year registration
No malicious Indicators of Compromise
No password, email, or payment fields
Domain age information unavailable

Details

Page Title

Business Fundraisers | 401 Gives 2026

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(79%)

Domain Information

You're looking at domain 'www.401gives.org' on the non-profit oriented generic top-level domain (.org) with subdomain 'www'. Its registrable label '401gives' stretches across 8 characters containing two vowels alongside 3 consonants; bonus characters include 3 digits. Tokenizing the label suggests two words: 401, gives. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.401gives.org/business_fundraisers/18494/how-do-i-get-technical-support-from-xfinity-2026-complete-support-guide?business_fundraiser_id=18494

Page Load Overview

2.02s
Total Load Time
33
HTTP Requests
18
Domains
1.5 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
Text Length:3,012 chars
Detector Agreement:80%

Website Classification

Primary Category

cryptocurrency blockchain79% confidence
Type: spa
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
79%
adult content
76%
travel tourism
57%
finance banking
53%
education learning
49%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1357.144.244.128Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1104.18.24.120United States
AS13335Cloudflare, Inc.
1216.239.32.36United States
AS15169Google LLC
115.197.143.135United States
AS16509Amazon.com, Inc.
13.174.46.92United States
AS16509Amazon.com, Inc.
135.168.33.229Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
1104.18.25.120United States
AS13335Cloudflare, Inc.
154.86.132.155Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
1146.75.120.97Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1142.251.208.8United States
AS15169Google LLC
3321--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13DE36B627480303F526307EDF0AAB70AB6274027A4478C54BAFCD6DA5FD5ED86132B79

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4cvrdnUfBA5g84Vya21CiqZvBIIsyc+g+LARl1fkeVVJf5VTNlZPfYbQdUgEFo:4erdn2BA5AVXGw0PzVJPTNLUgEFo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:143804:eBAIPsXJtEARxAoIMGANYEKFQFECQFIijAwDothUdBoQFDAEqJcVgAEIBBZF0BVACCyQ5TD3KPIhADaLkm2BEsgVEGjACkCE

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:fc38000000ffffff
Perceptual Hash:ce4dcde732b2b030
Difference Hash:6071b161cd0f0012
Wavelet Hash:fc18000000ffffff
Color Hash:#84bf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data