ScanMalware.com

Security Scan Report: mohsinabbas19.github.io

Submitted: Oct 9, 2025, 6:50:27 PMCompleted: Oct 9, 2025, 6:50:55 PMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is mohsinabbas19.github.io and was registered NaN years ago.

Submitted URL: https://mohsinabbas19.github.io/fsh/

The Cisco Umbrella rank of the primary domain is #516,855 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Impersonates Google login on a low‑ranked

Risk Factors
Brand impersonation/typosquatting of Google on a low‑ranked domain
Use of a trusted brand name (Google) on an unrelated domain
Page appears to be a login interface without proper authentication backend
Domain age information unavailable

Details

Page Title

Sign in - Google Accounts

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(34%)

Domain Information

The domain 'mohsinabbas19.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'mohsinabbas19'. The registrable portion 'github' spans 6 characters holding 2 vowels versus 4 consonants. It segments into 3 words: g, it, hub. Median word length is two characters. Most frequently, 'g' shows up in English. Usage also turns up in Chinese (Pinyin) and Chinese (Zhuyin) contexts. Taken together, it feels English.

Screenshot

Security scan screenshot of https://mohsinabbas19.github.io/fsh/

Page Load Overview

1.62s
Total Load Time
1
HTTP Requests
1
Domains
4 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:321 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network34% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
34%
technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.199.108.153United States
AS54113FASTLY
0185.199.109.153United States
AS54113FASTLY
02606:50c0:8001::153United States
AS54113FASTLY
0185.199.110.153United States
AS54113FASTLY
02606:50c0:8002::153United States
AS54113FASTLY
02606:50c0:8003::153United States
AS54113FASTLY
0185.199.111.153United States
AS54113FASTLY
02606:50c0:8000::153United States
AS54113FASTLY
18--

Detected Technologies3

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

T1956285FB26B30491298BDA693FAA47493124D0539917C9147F9C838C8F87FC1FDA2789

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6MhMuagbjnUj5fRWotaHk8wtf4a90TyvlfYpHlqc+2ZRzVa76EYYV6nrdyJwlNYU:/wlsp4SNYw5N3R5x2XUXSBKzP0w5EMN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15695:UEDNmaQIgI2QAdbRAigAHkAE0ZIEJAWDMpBDlHUaJRIBJCEBiIBAaCYtAwqCUh4QAYJOhCHlCKBBmjMJFQJ6IwOsogcQACwM

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:ffffe7e7e3e3ffff
Perceptual Hash:e69b9964269b6664
Difference Hash:00000c0804040000
Wavelet Hash:f0f0e4e4e4e4f0f0
Color Hash:#78663a

Other Hashes

Crop Resistant:00000c0804040000

Scan History

Scan history not available

Unable to load historical scan data