Security Scan Report: ethics.house.gov

Submitted: Oct 15, 2025, 11:20:26 AMCompleted: Oct 15, 2025, 11:23:21 AMpubliccompleted
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Summary

This website contacted 40 IPs in 3 countries across 9 domains to perform 34 HTTP transactions. The main domain is ethics.house.gov.

Submitted URL: https://ethics.house.gov/manual/nepotism/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official government domain with established branding
Content aligns with publicly available House Ethics Manual
Domain age information unavailable

Details

Page Title

Nepotism - House Committee on Ethics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(64%)

Domain Information

You're looking at domain 'ethics.house.gov' on the United States government-restricted top-level domain (.gov), featuring subdomain 'ethics'. Count 5 characters in 'house' containing three vowels alongside 2 consonants. Word splitting yields 1 word: house. The median word length lands at five characters. The linguistic tilt is English for 'house'. It also appears in Chinese (Pinyin) and Sinhala contexts.

Screenshot

Security scan screenshot of https://ethics.house.gov/manual/nepotism/

Page Load Overview

6.62s
Total Load Time
34
HTTP Requests
9
Domains
1.2 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:10,951 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
64%
government
48%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1323.201.240.76Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
4172.217.18.3United States
AS15169GOOGLE
3142.250.185.195United States
AS15169GOOGLE
3184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.250.186.163United States
AS15169GOOGLE
1142.250.184.202United States
AS15169GOOGLE
1216.58.212.131United States
AS15169GOOGLE
1216.58.206.68United States
AS15169GOOGLE
1104.17.24.14United States
AS13335CLOUDFLARENET
12.16.172.200Warsaw, Mazovia, Poland
AS20940Akamai International B.V.
3440--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19893C5B5A39C1D3D1A0347E18A64268CE03F5E79F67164D270BF573047C2DE9902A9BA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Y0WapWf4ImrBDKkFjIS+kazRihagER4IjcqhYNr6+BeQ4ORfl/FfQ1GRdWII8CP6:Y0p4ffmrBDKkFjIS+k2RihagER4Ijcqm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90101:NA2kFYAWHIiRJGEbcoHTAAyYAMQcDQQyLdZDniEjAiBASwdQhRkEHYh0QSRMKjoCgKGAoaGwUlgSSAsCKTgAYUNikrQhq0EZ

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:00ff7f7f475f475f
Perceptual Hash:a46d7d2d6d656121
Difference Hash:06b89eaeb6b6b6b6
Wavelet Hash:001f7f5f07470747
Color Hash:#6640bf

Scan History

Scan history not available

Unable to load historical scan data