Security Scan Report: static-bog2-2.xx.fbcdn.net

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Submitted: May 14, 2026, 11:05:35 AMCompleted: May 14, 2026, 11:07:50 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 25 HTTP transactions. The main domain is static-bog2-2.xx.fbcdn.net and was registered NaN years ago.

Submitted URL: https://static-bog2-2.xx.fbcdn.net

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Facebook

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'static-bog2-2.xx.fbcdn.net' on the network infrastructure generic top-level domain (.net) with subdomain 'static-bog2-2.xx'. Count 5 characters in 'fbcdn' split between 0 vowels and 5 consonants. Tokenizing the label suggests two words: fbc, dn. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://static-bog2-2.xx.fbcdn.net

Page Load Overview

N/A
Total Load Time
25
HTTP Requests
0
Domains
N/A
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:8 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
857.144.114.128Bogotá, Bogota D.C., Colombia
AS32934Facebook, Inc.
8157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
03--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C3844C05FD09C47A6B3B0FA2D0D67D46BB6C08078A884DE4D1EE6F2875CA5B82317B57

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:R6Sc6SW6S7G7aE717t767R757G7EsffqOIzPLaFunJ6x7LZ7me397To7q7hM78ze:C3Ene3jMfnHqqD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:401772:Ar2U1BMkbkCMApBQMzkMJigEV9BgAC+BAkyCn9yA4AkiTJwFuCQksJOEAJEGAglcgg2VKiXwRQRoGikVSIxCEAEgpWJwWA5Y

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#e06c90

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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