Security Scan Report: santafenm.gov

Submitted: Nov 28, 2025, 2:52:10 AMCompleted: Nov 28, 2025, 2:55:51 AMpubliccompleted
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Summary

This website contacted 78 IPs in 4 countries across 22 domains to perform 61 HTTP transactions. The main domain is santafenm.gov and was registered NaN years ago.

Submitted URL: https://santafenm.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate and poses no security risk.

Safety Factors
Official .gov domain
Established government website
Clear purpose (building permit application) with no credential collection
Domain age information unavailable

Details

Page Title

Welcome to Santa Fe New Mexico | City of Santa Fe

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(64%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'santafenm.gov' is registered with no subdomain. The core label 'santafenm' covers 9 characters with three vowels and six consonants. Tokenizing the label suggests three words: santa, fen, m. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://santafenm.gov/

Page Load Overview

17.62s
Total Load Time
61
HTTP Requests
22
Domains
17.5 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:6,841 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

government public service
64%
government
48%
documentation technical
28%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
61104.18.40.153United States
AS13335CLOUDFLARENET
24209.182.253.51Taos, New Mexico, United States
AS17098BROWNRICE-INTERNET-1
5216.58.206.74United States
AS15169GOOGLE
5142.250.186.131United States
AS15169GOOGLE
4142.250.186.67United States
AS15169GOOGLE
3142.250.184.232United States
AS15169GOOGLE
3104.16.175.226United States
AS13335CLOUDFLARENET
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2172.64.147.103United States
AS13335CLOUDFLARENET
1216.239.32.36United States
AS15169GOOGLE
6178--

Detected Technologies3

JQueryv3.5.1
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184A3A52294E0B43601CB50F455F6661968B68303E9036CA5FABCC7F91FAAF9D8D7760C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:BUt59wQ4ndi4n5873R9iQ332M13IH3tsfU17094B4bKLvh1bUdqxWzM+f4l+UP7b:Bs59wQIiwwR9UM13PrixvhBU0x46B7b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:104244:OBGIgRtMJgEFAGMJgdvIoGXQ+6QKgXQIxF2UYbIBACQyHcAA4BwBoIGlSxBE6AGEBBBYAFQUs3BiERAXiEQKCkjnMgKXkUbN

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:ffff00000000c0ff
Perceptual Hash:c2adf403937c4ad6
Difference Hash:c0f839d3c9c91400
Wavelet Hash:ffff01000000feff
Color Hash:#e0966c

Scan History

Scan history not available

Unable to load historical scan data