Security Scan Report: graph-fallback.instagram.com

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Submitted: Dec 7, 2025, 5:23:22 PMCompleted: Dec 7, 2025, 7:42:29 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 graph-fallback.instagram.com.

Submitted URL: https://graph-fallback.instagram.com/

The Cisco Umbrella rank of the primary domain is #233 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
High Cisco Umbrella ranking indicating reputable domain
Subdomain of official instagram.com
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

adult content

(50%)

Domain Information

Domain 'graph-fallback.instagram.com' uses the commercial generic top-level domain (.com) with subdomain 'graph-fallback'. Count 9 characters in 'instagram' holding 3 vowels versus 6 consonants. Tokenizing the label suggests 2 words: insta, gram. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://graph-fallback.instagram.com/

Page Load Overview

3.65s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
Text Length:211 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content50% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
50%
cryptocurrency blockchain
35%
technology software
26%
documentation technical
25%
phishing scam
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
157.144.222.192Amsterdam, North Holland, Netherlands
AS32934FACEBOOK
12a03:2880:f36f:c0:face:b00c:0:43feAmsterdam, North Holland, Netherlands
AS32934FACEBOOK
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CE0C032C8A00C07416350DD9DC1610065D071175C311D85BFCC946C9FCFD3AC8232C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96AAD/YIqkVgDYaidyeREH+8fAe1Tz6Y0YNdxELa:kxV7HfAAEIMeREHT1CzY7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:5660f8cdfec44c9ffcb6e2443ed7a099

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:83030303077f7e7f
Difference Hash:c0c0000000000000
Wavelet Hash:003ff0f0f0f0f0f0
Color Hash:#3a7878

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data