Security Scan Report: www.gallego.senate.gov

Redirected to: https://www.gallego.senate.gov/news/press-releases/amid-expected-record-breaking-cyber-monday-sales-gallego-calls-on-amazon-to-explain-mass-layoffs/

Submitted: Jan 26, 2026, 2:41:57 PMCompleted: Jan 26, 2026, 2:43:23 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 1 HTTP transaction. The main domain is gallego.senate.gov and was registered NaN years ago.

Submitted URL: https://www.gallego.senate.gov/press-releases/amid-expected-record-breaking-cyber-monday-sales-gallego-calls-on-amazon-to-explain-mass-layoffs/

Effective URL: https://www.gallego.senate.gov/news/press-releases/amid-expected-record-breaking-cyber-monday-sales-gallego-calls-on-amazon-to-explain-mass-layoffs/Redirected

The Cisco Umbrella rank of the primary domain is #74,105 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Official Senate press release; no security concerns detected.

Safety Factors
Established government domain (senate.gov)
No suspicious forms or data collection
No JavaScript malware patterns detected
No brand impersonation in meta tags or content
Secure hosting with standard infrastructure
Domain age information unavailable

Details

Page Title

Amid Expected Record-Breaking Cyber Monday Sales, Gallego calls on Amazon to Explain Mass Layoffs

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(74%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.gallego.senate.gov' is registered; it also runs on subdomain 'www.gallego'. The core label 'senate' covers 6 characters holding 3 vowels versus three consonants. It segments into one word: senate. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.gallego.senate.gov/press-releases/amid-expected-record-breaking-cyber-monday-sales-gallego-calls-on-amazon-to-explain-mass-layoffs/

Page Load Overview

14.74s
Total Load Time
94
HTTP Requests
8
Domains
1.0 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:5,315 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service74% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
74%
e-commerce shopping
73%
news media journalism
69%
technology software
63%
government
48%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19172.217.208.95United States
AS15169Google LLC
1563.35.24.187Ireland
1563.140.62.200United States
1588.221.168.237Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
15216.58.212.131United States
AS15169Google LLC
1523.209.72.38Secaucus, New Jersey, United States
AS20940Akamai International B.V.
946--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17924F8A33AD6263D615F718DB166B63D758AC49BCA0168F0F3FE1124DF52FE031A9428

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:uBkEk9OmR5TBzzDL4iDF4//4o4FNKMU1WjeUL10svJqJRm8MOfdvP5EU0WjeUZ:AgzzDL4iDF4/gNKMUxV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:227138:tGABBCDAd6V4DQQgBBQwMzZPLpGoqAkIBwCoECAwyhAiAQFUwGwAABmBwS+VigBjH7wiAQCIAW5ECABijLgK/RgoIQkgYgTk

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:00ffc7c7c7ffefdf
Perceptual Hash:bc2e4b4b3e2e1a38
Difference Hash:4d322e2e36320f1e
Wavelet Hash:00df878383dfc3c3
Color Hash:#79d2b3

Other Hashes

Scan History

Scan history not available

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