Security Scan Report: meeks.house.gov

Site favicon
Submitted: Jun 13, 2026, 1:32:52 AMCompleted: Jun 13, 2026, 1:34:21 AMpubliccompleted
Loading additional data...

Summary

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

Submitted URL: https://meeks.house.gov/media/press-releases/house-foreign-affairs-ranking-member-meeks-himes-call-rubio-avert-humanitarian

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate government press release with no malicious indicators.

Safety Factors
Official .gov TLD
Long domain age and high reputation
No malicious scripts or external redirects
Content classified as government public service
Domain age information unavailable

Details

Page Title

House Foreign Affairs Ranking Member Meeks, Himes Call on Rubio to Avert Humanitarian Crisis | Congressman Gregory Meeks

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(67%)

Domain Information

You're looking at domain 'meeks.house.gov' on the United States government-restricted top-level domain (.gov) and includes subdomain 'meeks'. Its registrable label 'house' stretches across 5 characters containing three vowels alongside two consonants. Breaking it apart gives one word: house. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://meeks.house.gov/media/press-releases/house-foreign-affairs-ranking-member-meeks-himes-call-rubio-avert-humanitarian

Page Load Overview

3.43s
Total Load Time
30
HTTP Requests
6
Domains
3.7 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
Text Length:3,269 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
67%
government
48%
adult content
28%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1523.45.97.72Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
15192.178.183.95United States
AS15169Google LLC
302--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE533952429031364C231AC27BDCBA195279DA9BCB060D58B27D1A0B5BDAFF5379332F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:stMCMPMCMfMCM8MCMGMCM/MCMtMCMAsVMZIdpbdYhy4VsQDV4NDVjDVCDVTimGhK:+BVsQDVcDVjDVCDVTimGhb8+dbgtidkX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:65646:Ak+AZqkASBGEVQgIKAhJc6KQusjoIEaJAEGqAFugABxAyLAgQCAMQAEgZcBAViQ5AEANxAIqloYOQEVSCZACCKgAFlBQkmYl

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:000000ffffffffff
Perceptual Hash:b4101b6defee4213
Difference Hash:3c9cdc2636263e3a
Wavelet Hash:000000c3dfd7dfff
Color Hash:#691f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data