Security Scan Report: newsfile.futunn.com

Submitted: Dec 30, 2025, 6:12:21 PMCompleted: Dec 30, 2025, 6:14:04 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is newsfile.futunn.com and was registered NaN years ago.

Submitted URL: https://newsfile.futunn.com

The Cisco Umbrella rank of the primary domain is #66,008 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Established domain with long registration history
No suspicious external links or redirects
No credential‑harvesting or payment collection fields
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

healthcare medical

(47%)

Domain Information

Within the commercial generic top-level domain (.com), 'newsfile.futunn.com' is registered and includes subdomain 'newsfile'. Its registrable label 'futunn' stretches across 6 characters holding 2 vowels versus four consonants. It segments into 3 words: fu, tun, n. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://newsfile.futunn.com

Page Load Overview

3.57s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:796 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical47% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
47%
documentation technical
46%
technology software
29%
cryptocurrency blockchain
28%
finance banking
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.29.101Singapore
143.152.28.43Singapore
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192718461DAE30AA60037C5E156FE676736E6803BD5AA3114E79CA38C8FCED007D21D01

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:HiFWN15AN427zd3+vuczgu8PA9lg9G1T9+R9P5L9Jdn29tF:HiFWN15eV1Wk/PklEyp+DBhj07

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3571:CCAAElCEAEEABAAoEAEIwIAABEgIAANgkAAAIAACAqkCBAAgBUiIAZFgAEQkAAAQBIADACAkEAlAgCCkCAECAAAAQAACEAAB

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:0003ffffffffffff
Perceptual Hash:8f0f0f0f1d18d8f8
Difference Hash:f662000000000000
Wavelet Hash:0001ffff00000000
Color Hash:#2dd2ac

Other Hashes

Crop Resistant:f662000000000000

Scan History

Scan history not available

Unable to load historical scan data