Security Scan Report: www.stopfakes.gov

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Submitted: Oct 31, 2025, 2:24:19 PMCompleted: Oct 31, 2025, 2:26:05 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 2 domains to perform 19 HTTP transactions. The main domain is stopfakes.gov and was registered NaN years ago.

Submitted URL: https://www.stopfakes.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate US government site with no security concerns.

Safety Factors
Official US government domain (.gov)
Long‑standing registration date
Absence of suspicious forms or data collection
No Indicators of Compromise detected
Content consistent with legitimate government IP protection program
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'www.stopfakes.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The registrable portion 'stopfakes' spans 9 characters with 3 vowels and six consonants. Splitting it apart reveals 2 words: stop, fakes. Average segment length settles at 4.5 characters. Most frequently, 'stop' shows up in Chinese (Pinyin). It also appears in English and Danish contexts.

Screenshot

Security scan screenshot of https://www.stopfakes.gov/

Page Load Overview

73.27s
Total Load Time
19
HTTP Requests
2
Domains
403 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
Text Length:1,717 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
government public service
47%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
718.235.225.225Ashburn, Virginia, United States
AS14618AMAZON-AES
451.124.91.155Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
454.209.193.248Ashburn, Virginia, United States
AS14618AMAZON-AES
4184.73.232.183Ashburn, Virginia, United States
AS14618AMAZON-AES
194--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE62B61589F621322162A1A43B98BF19EF92C427DF1A49047BFC57A97FD3F828C1361D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:kSRGHsTYuLuQqJ9crriweKyMyF1GuB25JQzf5xYcf:kSRMsTYuLuQqLcoMyF1G0Ycf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15679:r8QkAzMsngFGQRDFGhNgCAQEABJYzHgARoWEJAiLAAEwODQjFIopFc4dsqAGIFA4YAACABlDFxrISYKmGCQAyYokqjEkgBIA

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:ffff00000000ffff
Perceptual Hash:f8b4874bb834792a
Difference Hash:1eb5959599992611
Wavelet Hash:ffff00000000ffff
Color Hash:#40bfae

Scan History

Scan history not available

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