Security Scan Report: media.fsaw2-3.fna.whatsapp.net

Submitted: Dec 22, 2025, 5:40:51 AMCompleted: Dec 22, 2025, 5:41:30 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is media.fsaw2-3.fna.whatsapp.net and was registered NaN years ago.

Submitted URL: https://media.fsaw2-3.fna.whatsapp.net

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Facebook | Error

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(84%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'media.fsaw2-3.fna.whatsapp.net' is registered with subdomain 'media.fsaw2-3.fna'. Its registrable label 'whatsapp' stretches across 8 characters holding 2 vowels versus 6 consonants. Breaking it apart gives 3 words: what, s, app. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://media.fsaw2-3.fna.whatsapp.net

Page Load Overview

0.71s
Total Load Time
3
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
2195.175.96.163Istanbul, Istanbul, Turkey
AS9121Turk Telekom
1157.240.205.1Helsinki, Uusimaa, Finland
AS32934FACEBOOK
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CE51101F62F301346A6FA5747BEBA7457620C00316068A50BD1C02949FE4E53EDAB78C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:NmjUvTzU8+n8YPgZYlGniBXuz3fqQrwkPRCyhQouvyR2Wgqy7qWUqKo:NUUvTzU8+n8YPgZYoz3Kmgim+Wp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2825:gJQAQBkAAAAgAUCTBAAEAAAEBAABAmAQAgAAAkAAYAAGIIAoAAAAAAAACAAAAAqBIKQAoAAUVxEhQYASAAAACACAJgkACACE

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:e7c3e7ffffffffff
Perceptual Hash:a62633938b8ece8e
Difference Hash:0c8e0c0400000000
Wavelet Hash:c3c300f3f0f0f0f0
Color Hash:#4084bf

Other Hashes

Crop Resistant:0c8e0c0400000000

Scan History

Scan history not available

Unable to load historical scan data