ScanMalware.com

Security Scan Report: hernunspnc.github.io

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/6a442836-e460-46f7-9b7d-cff088334949Domain and IP registration (RDAP)/api/v1/rdap/6a442836-e460-46f7-9b7d-cff088334949How often this domain was scanned/api/v1/domain/stats/hernunspnc.github.ioScan history for this domain/api/v1/domain/history/hernunspnc.github.io?limit=15
This website contacted 14 IPs in 1 country across 10 domains to perform 13 HTTP transactions. The main domain is github.io and was registered 13 years ago.

Submitted URL: https://hernunspnc.github.io/Adobe_Reader.github.io/

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Fake Adobe PDF Reader update lure on a github.io subdomain, with honeypot/anti-bot fields, a Windows-only gate and chained redirects. Do not click 'View Files' or download anything.

Risk Factors (5)
Brand impersonation of Adobe on a non-Adobe, free hosting subdomain
Hidden honeypot/token/browser-fingerprint fields indicating kit-style bot filtering
Platform/OS gate restricting access to Windows desktop users only
Four cross-domain redirects on a page whose stated purpose is viewing PDFs
Unknown-age page on shared hosting platform; domain reputation unranked
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

The domain 'hernunspnc.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'hernunspnc'. Count 6 characters in 'github' holding two vowels versus 4 consonants. Tokenizing the label suggests three words: g, it, hub. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hernunspnc.github.io/Adobe_Reader.github.io/

Page Load Overview

0.72s
Total Load Time
453 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:943 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
72%
corporate business
57%
entertainment media
39%
adult content
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
0185.199.109.153Fastly · CDNUnited States
AS54113Fastly, Inc.
0104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.153.119Google · CDNUnited States
AS15169Google LLC
0142.251.14.147Google · CDNUnited States
AS15169Google LLC
0142.251.14.99Google · CDNUnited States
AS15169Google LLC
0142.251.20.105Google · CDNUnited States
AS15169Google LLC
0185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
0185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.156.119Google · CDNUnited States
AS15169Google LLC
1314--

Detected Technologies5

WordPress
75%
Varnish
40%
HSTS
40%
GitHub Pages
40%
Fastly
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11DB5B61B8E0F56A07F3828BF5787A6497010F79395C3A794F0DF4C8DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA3UXuT8+o7rfyHlnxXuT8+o7rLyVXuT8+o7rly2lnm:a5f0XS8+QTMlnxXS8+QXWXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2415466:gkCFEsIUB4BQdBCkwhHhAgaGAAAUsAIOhIEqgSYVExDJ2cCXLIdSkAiIBVFVJ9CiUgWhRUGwIA2AChnEKAgAocAgSARxwAce

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:9c8484849c9c1c1c
Perceptual Hash:9e7709dd4d256f00
Difference Hash:313d0d3d3931b9b1
Wavelet Hash:9d9c84949c9c1d1d
Color Hash:#d22d9b

Other Hashes

Crop Resistant:4e0d232363573d0a,4e96c66733573b0a,6667296d6d296900,23334c266e736100,313d0d3d3931b9b1

Scan History

Scan history not available

Unable to load historical scan data