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Security Scan Report: media.fsci1-2.fna.whatsapp.net

Submitted: Jan 12, 2026, 4:48:04 PMCompleted: Jan 12, 2026, 4:49:43 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is media.fsci1-2.fna.whatsapp.net and was registered NaN years ago.

Submitted URL: https://media.fsci1-2.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

No security concerns detected; the site appears legitimate.

Safety Factors
Domain age of 6170 days (well established)
Cisco Umbrella ranking 341 (top 1 K)
No malicious Indicators of Compromise matches found
No forms or credential collection fields present
Content is a standard error page from an official WhatsApp media CDN
Domain age information unavailable

Details

Page Title

Facebook | Error

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(83%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'media.fsci1-2.fna.whatsapp.net' is registered and includes subdomain 'media.fsci1-2.fna'. The second-level label 'whatsapp' is 8 characters long split between 2 vowels and 6 consonants. Splitting it apart reveals three words: what, s, app. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://media.fsci1-2.fna.whatsapp.net

Page Load Overview

30.11s
Total Load Time
3
HTTP Requests
2
Domains
3 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 network83% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
83%
documentation technical
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2190.97.248.33San Cristóbal, Táchira, Venezuela
AS263703VIGINET C.A
1157.240.0.13Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13651211F62F301346A6FA5747BEBA7457620C00316068B50BD1C02909FE4F53EDAB78C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:NmjUvTzU8+n8YPgZYlGniBXuy3fqQrwkPRCyhQouvyR2Wgqy7qWUqKo:NUUvTzU8+n8YPgZYoy3Kmgim+Wp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2825:gJQAQBkAAAAgBUCTBAAEAAAEhAABAmAQAgAAAkAAYAAGIIAgAAAAAAAACAAAAAqBIKQAoAAUVxEgQYASAAAACACAJgkACACE

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:e666663233339999
Difference Hash:0c0c100000000000
Wavelet Hash:0000ffff0f0f0f0f
Color Hash:#ced279

Other Hashes

Crop Resistant:0c0c100000000000

Scan History

Scan history not available

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