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Security Scan Report: settleed.github.io

Submitted: Oct 16, 2025, 9:13:42 AMCompleted: Oct 16, 2025, 9:14:47 AMpubliccompleted
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Summary

This website contacted 16 IPs in 1 country across 3 domains to perform 5 HTTP transactions. The main domain is settleed.github.io.

Submitted URL: https://settleed.github.io/fixoutstanding/letterofdemand.html

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Site harvests Microsoft credentials on a new, unranked domain – confirmed phishing scam.

Risk Factors
Credential harvesting form (email + password)
Impersonation of Microsoft/Office 365 brand
External form submission to unrelated suspicious domain
Unranked, likely newly created domain
External link to potentially malicious domain (ziniaccount76.com)
Domain age information unavailable

Details

Page Title

Proof Of Payment

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

finance banking

(66%)

Domain Information

The domain 'settleed.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'settleed'. The core label 'github' covers 6 characters containing 2 vowels alongside four consonants. Breaking it apart gives three words: g, it, hub. Median word length comes out to two characters. The linguistic tilt is English for 'g'. Secondary signals appear in Chinese (Pinyin) and Chinese (Zhuyin). Taken together, it feels English.

Screenshot

Security scan screenshot of https://settleed.github.io/fixoutstanding/letterofdemand.html

Page Load Overview

14.23s
Total Load Time
5
HTTP Requests
3
Domains
105 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
HTML Lang Attribute:en
Text Length:107 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking66% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
66%
government public service
56%
healthcare medical
50%
adult content
38%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5185.199.111.153United States
AS54113FASTLY
0185.199.110.153United States
AS54113FASTLY
0172.64.147.188United States
AS13335CLOUDFLARENET
0104.18.11.207United States
AS13335CLOUDFLARENET
02606:50c0:8001::153United States
AS54113FASTLY
02606:50c0:8000::153United States
AS54113FASTLY
02606:4700::6812:bcfUnited States
AS13335CLOUDFLARENET
02606:4700:4408::6812:2844United States
AS13335CLOUDFLARENET
0185.199.108.153United States
AS54113FASTLY
0104.18.10.207United States
AS13335CLOUDFLARENET
516--

Detected Technologies6

PasswordField
100%
Bootstrapv4.0.0
100%
HSTS
40%
GitHub Pages
40%
Font Awesome
40%
Fastly
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4E3023416F608BB99748656B012BB046F9AABF36705E82E35DC09CC7F15346F3629DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:55+VnaMqOJp1/RavfgzlbvjA3YKujmuglzaaaaaaaacbv7gd3:58PH2CJvdKujmy7gN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:151468:EQgUEAxKGUBFmCQAEiSTEOILAyGUFggwAQpFGIASiFDBIGAIZci1UxAIRUgkGhjhBQozQAQI7CEgaAQQlDKAijhZCAQINimg

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:7f11f3f0b9b0ffff
Perceptual Hash:ee2c950f93e0e295
Difference Hash:f063078363650a44
Wavelet Hash:3f00fbe00120f3ff
Color Hash:#87abc5

Other Hashes

Crop Resistant:f063078363650a44,9d9d919191959190,2121212121212909

Scan History

Scan history not available

Unable to load historical scan data