Security Scan Report: www.instagram.com

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Submitted: Oct 8, 2025, 9:09:12 PMCompleted: Oct 8, 2025, 9:09:29 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 3 domains to perform 39 HTTP transactions. The main domain is instagram.com and was registered NaN years ago.

Submitted URL: https://www.instagram.com/accounts/login/?next=https%3A%2F%2Fwww.instagram.com%2FTempletonPrize%2F%3Futm_source%3DReceive%2BNews%2Bfrom%2Bthe%2BJohn%2BTempleton%2BFoundation%26utm_campaign%3Dfe02187dd0-EMAIL_CAMPAIGN_2025_templetonprize-20251008%26utm_medium%3Demail%26utm_term%3D0_-fc83279c7c-97355777&is_from_rle

The Cisco Umbrella rank of the primary domain is #219 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

The page is the legitimate Instagram login; no security concerns detected.

Safety Factors
Official brand domain
High Cisco Umbrella ranking
Long domain age
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Login • Instagram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(68%)

Domain Information

You're looking at domain 'www.instagram.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'instagram' stretches across 9 characters split between three vowels and 6 consonants. Splitting it apart reveals 2 words: insta, gram. Expect 4.5 characters per word on average. The linguistic tilt is Catalan for 'instal'. Secondary signals appear in Swedish and Indonesian.

Screenshot

Security scan screenshot of https://www.instagram.com/accounts/login/?next=https%3A%2F%2Fwww.instagram.com%2FTempletonPrize%2F%3Futm_source%3DReceive%2BNews%2Bfrom%2Bthe%2BJohn%2BTempleton%2BFoundation%26utm_campaign%3Dfe02187dd0-EMAIL_CAMPAIGN_2025_templetonprize-20251008%26utm_medium%3Demail%26utm_term%3D0_-fc83279c7c-97355777&is_from_rle

Page Load Overview

2.70s
Total Load Time
39
HTTP Requests
3
Domains
2.5 MB
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:3,175 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network68% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
68%
technology software
36%
blog personal website
34%
news media journalism
34%
adult content
27%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9157.240.0.174Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
6157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
6157.240.0.63Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
62a03:2880:f177:185:face:b00c:0:25deGermany
AS32934FACEBOOK
62a03:2880:f277:1e8:face:b00c:0:4420Germany
AS32934FACEBOOK
62a03:2880:f277:1c6:face:b00c:0:43feGermany
AS32934FACEBOOK
396--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T116140712D20605785B2F84F8F062A79EE2558D07B7406876F9EDA3F5A50BB28C7FF508

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RPq6ToKCSaXUvtVSwk1c9rAnsh/XTi0tr9egDE9v7U3U6TNwEsgh1c8R708fKYjd:RPq6ToKCSaXUvtVSwk1c9rAnsh/XTi0T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:193997:phFMgiCouERmKAGaJAHkQAeEUZIQEAFBdIDG0AZOEhYABgMASjB8FeBBUAiJEBJgpAXAwICRDUwnmARBVBEBjFUAJ0tEsAEE

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data