Security Scan Report: payments-graph.facebook.com

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Submitted: Dec 6, 2025, 4:00:00 PMCompleted: Dec 6, 2025, 4:01:36 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is payments-graph.facebook.com and was registered NaN years ago.

Submitted URL: https://payments-graph.facebook.com/

The Cisco Umbrella rank of the primary domain is #60 of the top 1 million websitesTop 100 Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns; the site appears legitimate.

Safety Factors
Established subdomain of facebook.com
High reputation ranking
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(66% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'payments-graph.facebook.com' is registered, featuring subdomain 'payments-graph'. The core label 'facebook' covers 8 characters containing 4 vowels alongside 4 consonants. Word splitting yields 1 word: facebook. Average segment length settles at 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://payments-graph.facebook.com/

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:66%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:66%
Script Type:Latin
Text Length:287 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2157.240.0.13Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
12a03:2880:f084:10d:face:b00c:0:2Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
22--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5F05576C4B00C4351A386ADA8D459996ADA751B58235C1EBECC862CDFCDD2E88133C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxV7HfAAE02Rf9RoAIvHTN1sySOjAszY7xELa:kHMAh2fDIfTKszpa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:0521a92e61fbcbe354a37f579766be46

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:003fffffffffffff
Perceptual Hash:83030303333f7f7e
Difference Hash:d8c0000000000000
Wavelet Hash:003ff3f300000000
Color Hash:#483a78

Other Hashes

Crop Resistant:d8c0000000000000

Scan History

Scan history not available

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