Security Scan Report: www.cabq.gov

Submitted: Nov 20, 2025, 3:37:56 AMCompleted: Nov 20, 2025, 3:40:33 AMpubliccompleted
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Summary

This website contacted 41 IPs in 3 countries across 18 domains to perform 124 HTTP transactions. The main domain is cabq.gov and was registered NaN years ago.

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

The Cisco Umbrella rank of the primary domain is #360,618 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate city government website with no security concerns.

Safety Factors
Government domain with long registration history
Transparent public services information
No credential or payment collection
Domain age information unavailable

Details

Page Title

Homepage — City of Albuquerque

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(86%)

Domain Information

The domain name 'www.cabq.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The registrable portion 'cabq' spans 4 characters split between 1 vowel and 3 consonants. Breaking it apart gives 2 words: cab, q. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.00s
Total Load Time
124
HTTP Requests
18
Domains
7.2 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
Text Length:7,211 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service86% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
86%
technology software
56%
government
48%
education learning
33%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
87172.66.170.1United States
AS13335CLOUDFLARENET
6104.19.147.8United States
AS13335CLOUDFLARENET
5142.250.185.104United States
AS15169GOOGLE
352.223.40.198United States
AS16509AMAZON-02
3216.239.34.36United States
AS15169GOOGLE
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
352.208.76.107Dublin, Leinster, Ireland
AS16509AMAZON-02
3216.239.32.36United States
AS15169GOOGLE
3104.20.36.150United States
AS13335CLOUDFLARENET
3104.19.148.8United States
AS13335CLOUDFLARENET
12441--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16AA365A714E0103F0366C2C6AB60BBA9D587C15FEA3A1DC1B1BD172A1F95F5A1E0F12D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:toFirD9t9RirD9t9g5FM5C358x5255hihy5k/57UQN5wmERu7c:toCFgCp832PgUkB7bN+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:102693:AOIXlJhmcOAHeTkgAtogEoJSGgWWiMAILUoUQ7KgARDQfCQQWgRSAESgWiUiWBDCSASE/4AAExzwKygg5eBAQvLBWAS0AAwE

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:ff000000ffff0301
Perceptual Hash:aed68dd75960f101
Difference Hash:61658d8d41457737
Wavelet Hash:ff104000ffff1f01
Color Hash:#53aca5

Scan History

Scan history not available

Unable to load historical scan data