Security Scan Report: media.fsub9-1.fna.whatsapp.net

Submitted: Dec 21, 2025, 9:10:35 PMCompleted: Dec 21, 2025, 9:13:51 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is media.fsub9-1.fna.whatsapp.net and was registered NaN years ago.

Submitted URL: https://media.fsub9-1.fna.whatsapp.net

The Cisco Umbrella rank of the primary domain is #341 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Facebook CDN error page with no security concerns.

Safety Factors
Well‑established domain
High Cisco Umbrella reputation
Standard hosting without suspicious redirects
No credential or payment collection
Domain age information unavailable

Details

Page Title

Facebook | Error

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(84%)

Domain Information

The domain 'media.fsub9-1.fna.whatsapp.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'media.fsub9-1.fna'. Count 8 characters in 'whatsapp' containing 2 vowels alongside six consonants. Word splitting yields 3 words: what, s, app. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://media.fsub9-1.fna.whatsapp.net

Page Load Overview

30.19s
Total Load Time
4
HTTP Requests
2
Domains
6 KB
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:145 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network84% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
84%
documentation technical
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2118.99.92.226Jakarta, Jakarta, Indonesia
AS17451BIZNET NETWORKS
2157.240.205.1Helsinki, Uusimaa, Finland
AS32934FACEBOOK
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12551311F62F301346AAFA5747BEBA7497620C00306068A50BD1C03909FE4E53EDEB78C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:5mjUvTzU8+n8YPgZYlGniBXuz3fqQrwkPRCyhQouvyR2Wgqy7qWUqKo:5UUvTzU8+n8YPgZYoz3Kmgim+Wp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2810:gAAACQAACEAEAQIABACAIAAAACBAC0EENAQAAQAhAJEBAAgAAGBAWAoIgDADQAYAAAABACCACAQAABIAABAAAAIEgAgAAKAQ

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:e7e7ffffffffffff
Perceptual Hash:e666662333339999
Difference Hash:0c0c100000000000
Wavelet Hash:e700f0f0f0f0f0f0
Color Hash:#c579d2

Other Hashes

Crop Resistant:0c0c100000000000

Scan History

Scan history not available

Unable to load historical scan data