Security Scan Report: l.instagram.com

Redirected to: https://onlyfans.com/isabellaroland

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Submitted: Jan 6, 2026, 9:42:09 PMCompleted: Jan 6, 2026, 9:43:31 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 7 domains to perform 73 HTTP transactions. The main domain is onlyfans.com and was registered NaN years ago.

Submitted URL: https://l.instagram.com/?u=https%3A%2F%2Fonlyfans.com%2Fisabellaroland%2Fc12&e=AT1FZmU16cObwICCQOOhx7pELCBrS2fXj1UiZPPJlhKA0ybzs0_0gD7SPw2DYDJ1BfJD4EBcPQTDQaXg27xenLItOEXz84Rvj3anJ7-p9hD6AKRYrcOcUV-AaGV6

Effective URL: https://onlyfans.com/isabellarolandRedirected

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

Legitimate redirect to an official OnlyFans profile with no suspicious activity.

Safety Factors
Both source and destination domains are well‑ranked and long‑standing
No credential‑harvesting or payment collection elements present
Content appears to be a personal OnlyFans profile, not a phishing lure
Domain age information unavailable

Details

Page Title

Isabella OnlyFans

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(45%)

Domain Information

You're looking at domain 'l.instagram.com' on the commercial generic top-level domain (.com), featuring subdomain 'l'. Count 9 characters in 'instagram' split between three vowels and 6 consonants. Word splitting yields 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://l.instagram.com/?u=https%3A%2F%2Fonlyfans.com%2Fisabellaroland%2Fc12&e=AT1FZmU16cObwICCQOOhx7pELCBrS2fXj1UiZPPJlhKA0ybzs0_0gD7SPw2DYDJ1BfJD4EBcPQTDQaXg27xenLItOEXz84Rvj3anJ7-p9hD6AKRYrcOcUV-AaGV6

Page Load Overview

7.42s
Total Load Time
73
HTTP Requests
7
Domains
15 KB
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:1,405 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content45% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
45%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
73.164.206.80United States
AS16509AMAZON-02
618.165.122.87United States
AS16509AMAZON-02
613.33.235.126New York, New York, United States
AS16509AMAZON-02
63.164.206.62United States
AS16509AMAZON-02
6172.66.0.144United States
AS13335CLOUDFLARENET
63.164.206.114United States
AS16509AMAZON-02
6104.16.79.73United States
AS13335CLOUDFLARENET
613.33.235.91New York, New York, United States
AS16509AMAZON-02
6162.159.140.146United States
AS13335CLOUDFLARENET
63.164.206.125United States
AS16509AMAZON-02
7312--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D54A53A620C17BF4147CBC89A12B245335EE1AEF1F880E4AB6D47A49E56DF3E477910

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:irq1Rcbz2flv1+1rSEhUYJPzIX2RDSwUr0ncyLZCN4q4OtlfGj23cs3Jjv2JERmV:axek9xKizyEaLLk2vWTgqXCa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:289119:yFIUZVo5AlIqAbwIRUCpwSgQaUECswjcuIIIVAmE1rwQOjpiAAAkyAQJETNQAQHQTxQQPQIqARClOIPUMwCsFQNg0QKEEINZ

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:c3c3dfffc7efffff
Perceptual Hash:b0306073c7cdcd9d
Difference Hash:8f8f900e0d1c1c0c
Wavelet Hash:0081d7c7c7c6c7c7
Color Hash:#1f9359

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data