Security Scan Report: kamlager-dove.house.gov

Redirected to: https://kamlager-dove.house.gov/media/press-releases/kamlager-dove-raskin-demand-fbi-director-kash-patel-reimburse-taxpayers

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Submitted: Dec 23, 2025, 7:28:34 PMCompleted: Dec 23, 2025, 7:29:15 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 5 domains to perform 80 HTTP transactions. The main domain is kamlager-dove.house.gov and was registered NaN years ago.

Submitted URL: http://kamlager-dove.house.gov/media/press-releases/kamlager-dove-raskin-demand-fbi-director-kash-patel-reimburse-taxpayers

Effective URL: https://kamlager-dove.house.gov/media/press-releases/kamlager-dove-raskin-demand-fbi-director-kash-patel-reimburse-taxpayersRedirected

The Cisco Umbrella rank of the primary domain is #50,489 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official government domain
Long-established domain age
Clean threat intelligence profile
Domain age information unavailable

Details

Page Title

Kamlager-Dove, Raskin Demand FBI Director Kash Patel Reimburse Taxpayers, Produce Records After Using Government Jet for Personal Flights, Lavish Vacations, and Date Nights | Congresswoman Sydney Kamlager-Dove

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(54%)

Domain Information

You're looking at domain 'kamlager-dove.house.gov' on the United States government-restricted top-level domain (.gov) and includes subdomain 'kamlager-dove'. The core label 'house' covers 5 characters with three vowels and 2 consonants. Segmentation suggests 1 word: house. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://kamlager-dove.house.gov/media/press-releases/kamlager-dove-raskin-demand-fbi-director-kash-patel-reimburse-taxpayers

Page Load Overview

3.85s
Total Load Time
80
HTTP Requests
5
Domains
1.4 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:6,416 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service54% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
54%
government
48%
adult content
39%
news media journalism
38%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15216.58.210.168United States
AS15169GOOGLE
1323.36.233.167Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
13216.58.209.170United States
AS15169GOOGLE
13216.239.32.36United States
AS15169GOOGLE
13216.239.34.36United States
AS15169GOOGLE
13216.58.209.195United States
AS15169GOOGLE
806--

Detected Technologies4

100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13EB35B228360312B540307C12FAD725DA235DA47E78A0D2CF6FD16595BD9EF628A738F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0i77noDVeDVaDVZDVRDV2DVC9n9RBqB3JYAQMS45XgT3GJGy/V/6OztlrFaDVyDF:ra9n9RBqB3JYAQMS45XgT3GJGy/V/6Oz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:114148:GIAFctgDaYDIAQEZVSJhgFEBVmsw4kaBViAKFDmCAcGSgsBBjQJGJAkBkaKWAIYArB0TVDk4AXAEAcQQBoIAiAkC0ooGQmWi

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:0089839f8bc7ffdf
Perceptual Hash:ff5a424a4a52726d
Difference Hash:413b2f3e3b372f27
Wavelet Hash:0083839f8fd79f83
Color Hash:#783c3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data