ScanMalware.com

Security Scan Report: www.fawanews.sc

Redirected to: https://www.fawanews.sc/index.html

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Submitted: Oct 13, 2025, 1:01:22 PMCompleted: Oct 13, 2025, 1:02:58 PMpubliccompleted
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Summary

This website contacted 46 IPs in 4 countries across 16 domains to perform 123 HTTP transactions. The main domain is fawanews.sc and was registered NaN years ago.

Submitted URL: http://www.fawanews.sc/Uzbekistan%20vs%20Uruguay.html

Effective URL: https://www.fawanews.sc/index.htmlRedirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Site shows a suspicious redirect loop but lacks other malicious indicators.

Risk Factors
Circular redirect loop indicating possible URL manipulation
Safety Factors
No forms collecting credentials or payment information
No malicious Indicators of Compromise matches found
Content appears to be standard sports news without brand impersonation
Domain age information unavailable

Details

Page Title

www.fawanews.sc

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(30%)

Domain Information

Domain 'www.fawanews.sc' uses the Seychellois country-code top-level domain (.sc) and includes subdomain 'www'. The second-level label 'fawanews' is 8 characters long split between three vowels and 5 consonants. It segments into 3 words: f, awa, news. Expect 3 characters per word on average. 'f' is most common in English usage. You will also see it in Chinese (Pinyin) and Malay contexts. Overall, 'www.fawanews.sc' reads as English.

Screenshot

Security scan screenshot of http://www.fawanews.sc/Uzbekistan%20vs%20Uruguay.html

Page Load Overview

3.05s
Total Load Time
123
HTTP Requests
16
Domains
3.8 MB
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:362 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network30% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33142.250.185.78United States
AS15169GOOGLE
2208.93.230.24United States
AS29893CHATANGO
2146.75.120.159Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2208.93.230.18United States
AS29893CHATANGO
2146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2149.56.240.128Montreal, Quebec, Canada
AS16276OVH SAS
2142.250.185.193United States
AS15169GOOGLE
2142.250.186.67United States
AS15169GOOGLE
272.246.31.37Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
277.81.121.211Amsterdam, North Holland, Netherlands
AS200514KnownSRV Ltd.
12346--

Detected Technologies3

jsDelivr
20%
Twitter
20%
Google Analytics
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T110F173AB0CEB5037618285C5A8E5B90CAECAF817DF969845F0ED96CE1F81FD2CD07548

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Yd5ISCA+KDjkN+ZuptlwWmpPKwOjBNLQ2mo7lUag4mVq:YdCHAv90OWmpPKwSrdmilUag4Cq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7476:QAYyhcpBThAlsRwQACHWSJVEFIBI4AYSKAwJW4JwkAhAUECCQQySFBiJAIJEicrxATgaAJEi1IAo5gkFgxgASmA5MABBOJk6

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:1f3fffffffffffff
Perceptual Hash:8202060e0e3effff
Difference Hash:e0c0000000000000
Wavelet Hash:1030f0f0f0f0f0f0
Color Hash:#83e06c

Other Hashes

Crop Resistant:e0c0000000000000

Scan History

Scan history not available

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