ScanMalware.com

Security Scan Report: yahoouserr.github.io

Submitted: Nov 26, 2025, 4:01:51 AMCompleted: Nov 26, 2025, 4:03:45 AMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 4 domains to perform 14 HTTP transactions. The main domain is yahoouserr.github.io and was registered NaN years ago.

Submitted URL: https://yahoouserr.github.io/Yahoo

The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing site impersonating Yahoo; do not enter credentials.

Risk Factors
Brand impersonation of Yahoo on a low‑ranking domain
Credential‑harvesting password field (including hidden field)
Low Cisco Umbrella ranking for a site claiming a well‑known brand
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

yahoo

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(52%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'yahoouserr.github.io' is registered; it also runs on subdomain 'yahoouserr'. Count 6 characters in 'github' holding two vowels versus 4 consonants. Tokenizing the label suggests three words: g, it, hub. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yahoouserr.github.io/Yahoo

Page Load Overview

0.61s
Total Load Time
14
HTTP Requests
4
Domains
113 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:222 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network52% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
52%
adult content
33%
technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14185.199.108.153United States
AS54113FASTLY
10185.199.111.153United States
AS54113FASTLY
1142.250.186.106United States
AS15169GOOGLE
1104.17.25.14United States
AS13335CLOUDFLARENET
1142.250.186.99United States
AS15169GOOGLE
0185.199.109.153San Francisco, California, United States
AS54113FASTLY
0142.250.184.227United States
AS15169GOOGLE
0185.199.110.153United States
AS54113FASTLY
0104.17.24.14United States
AS13335CLOUDFLARENET
02a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
1417--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13561DE1028F669B3014385E568B17F1B7EC1C017DA46281035FC4BEA5FE6F828D6B59E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Td51lShCpBkefxKqDeXtxDqFRrov2LXV2z2N6vFO:Trv5QB9xDY8eLXV2pY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3385:CIQkhCAEBooiAAADgAACICAIAAREIgQUAAAEAACAYgIAAJgAACOAAIEYgQhAkIAAABCEAAGCgBAIQQhAAiAEBQCABgANAEBA

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:e7e7e7ffc3c2ffe7
Perceptual Hash:f5d78b342acb3424
Difference Hash:4c0c0c009696000e
Wavelet Hash:e6e6c6cec2c2c2c3
Color Hash:#798fd2

Other Hashes

Crop Resistant:4c0c0c009696000e,000830b232320c11

Scan History

Scan history not available

Unable to load historical scan data