Security Scan Report: nemo911.gov

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Submitted: Oct 16, 2025, 11:55:29 PMCompleted: Oct 16, 2025, 11:56:04 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 4 domains to perform 17 HTTP transactions. The main domain is nemo911.gov and was registered NaN years ago.

Submitted URL: https://nemo911.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no security concerns detected.

Safety Factors
Well‑established domain age
Government top‑level domain (.gov)
Absence of suspicious forms or data collection
No Indicators of Compromise detected
Consistent public agency information
Domain age information unavailable

Details

Page Title

NECOMM

Scan Type

public

Language

🏳️

LANG=

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'nemo911.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The core label 'nemo911' covers 7 characters with 2 vowels and two consonants, along with three digits. It segments into 2 words: nemo, 911. Median word length comes out to 3.5 characters. 'nemo' is most common in Basque usage. You may catch it in Catalan and Lithuanian as well.

Screenshot

Security scan screenshot of https://nemo911.gov/

Page Load Overview

10.93s
Total Load Time
17
HTTP Requests
4
Domains
231 KB
Total Size

Language Analysis

Primary Language

🏳️LANG=
Code: lang=
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:lang=
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:lang=
Text Length:1,592 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
38%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.185.195United States
AS15169GOOGLE
3142.250.185.234United States
AS15169GOOGLE
3162.241.216.35Phoenix, Arizona, United States
AS46606UNIFIEDLAYER-AS-1
32a00:1450:4001:813::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a00:1450:4001:82b::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
175--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F69394ABF2C850FF653F8959829DB67CFD38A040D7053A95B0E9B3348B8E9EB045521D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:EMapvwqRLUJXplWlMl6lxaXD2JOnxn+PZMHbshODFiwJDW2WFJCU:ELhM3DEJCU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:95838:kgMZESoXCgBYgbAAJKiiBQhQSEFAQ6kioQoRww8ISpsqiqGeQCIEApmWTGEZQQikYUtCBkNuRCwAMjJVLBAAsABgA0kSQRsQ

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:00e7ffc3dfdfcfff
Perceptual Hash:b46763714369584f
Difference Hash:cc4c30363cb0365c
Wavelet Hash:00c69e829e9e83ff
Color Hash:#53ac8d

Other Hashes

Crop Resistant:cc4c30363cb0365c

Scan History

Scan history not available

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