Security Scan Report: friendne.gov

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Submitted: Oct 31, 2025, 8:32:11 AMCompleted: Oct 31, 2025, 8:33:06 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 5 domains to perform 12 HTTP transactions. The main domain is friendne.gov and was registered NaN years ago.

Submitted URL: http://friendne.gov/

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

Site exhibits multiple high‑risk indicators and should be avoided.

Risk Factors
External malicious Indicators of Compromise link
Circular redirect (strong indicator of URL manipulation)
UNRANKED domain with low reputation
Expired DNS hosting page suggesting possible domain takeover
Domain age information unavailable

Details

Page Title

Expired DNS Hosting Services | DNS Made Easy

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

government

(48%)

Domain Information

Domain 'friendne.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The registrable portion 'friendne' spans 8 characters split between 3 vowels and five consonants. Breaking it apart gives 2 words: friend, ne. Median word length comes out to 4 characters. 'frend' is most common in Slovenian usage. It also appears in Bosnian and Croatian contexts. Net impression: Slovenian phrase.

Screenshot

Security scan screenshot of http://friendne.gov/

Page Load Overview

19.36s
Total Load Time
12
HTTP Requests
5
Domains
892 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:413 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
technology software
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2157.230.67.179North Bergen, New Jersey, United States
AS14061DIGITALOCEAN-ASN
1104.18.11.207United States
AS13335CLOUDFLARENET
1142.250.186.106United States
AS15169GOOGLE
1142.250.185.227United States
AS15169GOOGLE
1208.80.120.39Ashburn, Virginia, United States
AS16552DIGICERT
1104.18.10.207United States
AS13335CLOUDFLARENET
12606:4700::6812:bcfUnited States
AS13335CLOUDFLARENET
12a00:1450:4001:813::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
1142.250.181.234United States
AS15169GOOGLE
12a00:1450:4001:80e::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
1211--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C571631B45F32042714395A83BE73605AFA1C017C38BCD18BAFD1698DFC25AE89A335E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kSOtU1Tt5etwtIofVHiP05s9jgqC3LeDobsnX4dY9NNVgDzN0yv4h/vF3Mbn4AV7:p6WtIeJYAWVgF5W9ge6x6pY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3623:gBQAECgAkBADAQCBABkAQgCAAEAIACEgBzAAAIgBCEAAgACMBABAAAABEBCAESqQASwhCgggFwQJACBQAAAhBwIAAAEhBIQA

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:00ffd7f7ffffff00
Perceptual Hash:e4a41b9b63e6269c
Difference Hash:4924242636480021
Wavelet Hash:00979383d3fffe00
Color Hash:#ae87c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data