Security Scan Report: avegayot.pages.dev

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Submitted: Jul 24, 2026, 12:58:38 PMCompleted: Jul 24, 2026, 1:00:12 PMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 15 domains to perform 3 HTTP transactions. The main domain is avegayot.pages.dev and was registered NaN years ago.

Submitted URL: https://avegayot.pages.dev/posts/icarly-fat-cakes-episode-locker

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site hosts a blog‑style page with no credential collection, but an IP associated with attackers and an unknown subdomain age raise moderate concerns.

Risk Factors
Unknown subdomain age on a hosting platform
Unranked domain with no reputation
Threat‑intel match on hosting IP
Safety Factors
No password, payment, or disguised credential fields
No brand impersonation detected
Low JavaScript obfuscation score
Search form only, no data exfiltration observed
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

Icarly Fat Cakes Episode Locker / Itoe fat cakes build divers anime free online in high quality at kissmovies. - Toyageva

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

The domain name 'avegayot.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'avegayot'. The core label 'pages' covers 5 characters holding two vowels versus 3 consonants. Segmentation suggests 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://avegayot.pages.dev/posts/icarly-fat-cakes-episode-locker

Page Load Overview

3.17s
Total Load Time
36
HTTP Requests
20
Domains
941 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:6,442 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1023.59.16.9Hamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
2142.251.20.119Google · CDNUnited States
AS15169Google LLC
2142.251.110.97Google · CDNUnited States
AS15169Google LLC
2142.251.14.132Google · CDNUnited States
AS15169Google LLC
2172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
274.115.51.9United States
AS27647Weebly, Inc.
2146.75.121.16Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
2198.46.91.127United States
AS54641InMotion Hosting, Inc.
3614--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15FD20A7296CC553B1312078C6F35B2ECEF17D566EA138B94740D78A82F45A72CB2B4E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lJlF8Czj/Oi4ldrNYNeiFeN8yTyvqs0d4hi3Is64OgONhk9CcoPwP9bcoB6f3YLc:lJUmqi4lRNYNePN8yTyvq9d4hi3n64ON

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30728:6CgQGALAgkIUNEmgiHZiDCOLLFHCgkGIZ0QA0KhiBAiDgAR067QISINTJQGZhrQchBQgAYkNYfFRNTREiAQEOGm+ARHl0R1E

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:ffdfcfc7c7c7c7c7
Perceptual Hash:b0cf8c33c72cc9c9
Difference Hash:281c1e0e1e1f1e1e
Wavelet Hash:dfc7c38387838383
Color Hash:#a0d279

Scan History

Scan history not available

Unable to load historical scan data