Security Scan Report: bg-bg.facebook.com

Submitted: Dec 20, 2025, 11:41:33 PMCompleted: Dec 20, 2025, 11:45:43 PMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 4 domains to perform 165 HTTP transactions. The main domain is bg-bg.facebook.com and was registered NaN years ago.

Submitted URL: https://bg-bg.facebook.com/BucknellU

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears to be a legitimate Facebook page for Bucknell University with no security concerns.

Safety Factors
Hosted on a reputable, well‑established domain (facebook.com)
No credential‑harvesting or payment collection elements
Domain age information unavailable

Details

Page Title

Bucknell University | Lewisburg PA | Facebook

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'bg-bg.facebook.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'bg-bg'. Its registrable label 'facebook' stretches across 8 characters containing 4 vowels alongside four consonants. Segmentation suggests 1 word: facebook. Expect eight characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bg-bg.facebook.com/BucknellU

Page Load Overview

246.74s
Total Load Time
165
HTTP Requests
4
Domains
3.9 MB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
55157.240.205.1Helsinki, Uusimaa, Finland
AS32934FACEBOOK
5531.13.72.12Bromma, Stockholm County, Sweden
AS32934FACEBOOK
55157.240.27.27Düsseldorf, North Rhine-Westphalia, Germany
AS32934FACEBOOK
1653--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196754B56F60CC4360D239FA1D8BA794E6ECC1017C9CC96D0E49D6E2EA1D73B832177A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:erliHyNVMvUEOPIFK1sUlk2zFf29FH1oMsUk+1oMsUkw:0VMEP/1Jlk2zFeH1oPUk+1oPUkw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1561422:BDmEQJAcPCxGAWKRImkMgSECAyTCC+kUI4mAAjOAHPyBhhcIUbJA6PgADExAgQhgwjFogwawoADSSIkkOXQciBKdYgfGHDDD

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:fe7c7c340442ffff
Perceptual Hash:d257b92c06b7311d
Difference Hash:c4e0ccccc4944dc9
Wavelet Hash:7c3c2c340040ffff
Color Hash:#523a78

Other Hashes

Crop Resistant:c4e0ccccc4944dc9

Scan History

Scan history not available

Unable to load historical scan data