ScanMalware.com

Security Scan Report: urlscan.io

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Submitted: Sep 12, 2026, 1:15:01 AMCompleted: Sep 12, 2026, 1:15:41 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/407b376d-3719-4433-877c-e0c9c31d02e0Domain and IP registration (RDAP)/api/v1/rdap/407b376d-3719-4433-877c-e0c9c31d02e0Certificate Transparency/api/v1/ct/urlscan.ioHow often this domain was scanned/api/v1/domain/stats/urlscan.ioScan history for this domain/api/v1/domain/history/urlscan.io?limit=15

This website contacted 8 IPs in 2 countries across 5 domains to perform 61 HTTP transactions. The main domain is urlscan.io and was registered 29 years ago.

Submitted URL: https://urlscan.io

The Cisco Umbrella rank of the primary domain is #90,061 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The page appears legitimate with no credential collection or brand impersonation; risk is low.

Safety Factors
Long‑standing domain age
High Cisco Umbrella ranking (top 100K)
No malicious JavaScript or YARA matches
No suspicious IDS alerts (INFO level only)
Only informational form for URL scanning
Domain age information unavailable

Details

Page Title

URL and website scanner - urlscan.io

Scan Type

public

Domain Name Analysis

Domain 'urlscan.io' uses the British Indian Ocean Territory country-code top-level domain (.io). Count 7 characters in 'urlscan' containing two vowels alongside five consonants. Splitting it apart reveals 2 words: urls, can. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://urlscan.io

Page Load Overview

20.52s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,016 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical56% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
56%
technology software
49%
corporate business
35%
cryptocurrency blockchain
31%
adult content
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12142.251.20.95Google · CDNUnited States
AS15169Google LLC
749.12.22.106Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
7142.251.155.119Google · CDNUnited States
AS15169Google LLC
7142.251.157.119Google · CDNUnited States
AS15169Google LLC
7142.251.150.119Google · CDNUnited States
AS15169Google LLC
7142.251.152.119Google · CDNUnited States
AS15169Google LLC
7142.251.110.94Google · CDNUnited States
AS15169Google LLC
7142.251.14.94Google · CDNUnited States
AS15169Google LLC
618--

Detected Technologies5

Cloudflare
50%
reCAPTCHA
45%
HSTS
40%
Glyphicons
30%
Cloudflare Turnstile
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B135403D36DA87B0A5A9BD265CB7818FEFA1257C0C58C41F5DE4D1007B5BAA012BBED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:yZP6TGTEw9zoCQyChYL+tPgcFzF+r4GhIkB9xs:yZP6TGTEw9zoCQyChYL+tPgcFzF+r4GE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44877:AEC7cBgIIUQCSAahMwcSANfgQCNowKYGJADA0kKghSJONIDMEAnApA0AQEgUEGAkBjstCRFARzDCZuQwAFCIBKAIQCOODwC/

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:00fffbffffffffe7
Perceptual Hash:ed4b231a321a6d6d
Difference Hash:6908322a2a2a0f0e
Wavelet Hash:00e7fb81c181ffc3
Color Hash:#2d7a86

Other Hashes

Crop Resistant:6908322a2a2a0f0e,919591d1d9999591

Scan History

Scan history not available

Unable to load historical scan data