Security Scan Report: graph.fb.gg

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Submitted: Jan 31, 2026, 8:13:18 PMCompleted: Jan 31, 2026, 8:14:50 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is graph.fb.gg.

Submitted URL: https://graph.fb.gg

The Cisco Umbrella rank of the primary domain is #39,534 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low risk site with no malicious indicators; safe to browse.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
Domain is ranked within Cisco Umbrella top 100k
Page displays only an access token error message
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(62% confidence)

Category

cryptocurrency blockchain

(42%)

Domain Information

Domain 'graph.fb.gg' uses the .gg country-code top-level domain; it also runs on subdomain 'graph'. The second-level label 'fb' is 2 characters long containing 0 vowels alongside two consonants. It segments into one word: fb. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://graph.fb.gg

Page Load Overview

0.25s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:62%
Script Type:Latin
Text Length:151 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain42% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2157.240.0.13Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14BE07D7389D09526223395CEFC81F31547C1F20ED4310C15F8C5C0A8A5DB6198503688

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96zQAjfEcRZVWQW0HKiVxeAjx7G9NdxELa:kxV7HfzlfEcR/WQFhD7S7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a2041e3740bde2beb2f0de7b7605e333

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:00ffffffffffffff
Perceptual Hash:b636363636363626
Difference Hash:8c00000000000000
Wavelet Hash:00bf3f3f00000000
Color Hash:#8de06c

Other Hashes

Crop Resistant:8c00000000000000

Scan History

Scan history not available

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