Security Scan Report: siash-app.top

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Submitted: Dec 26, 2025, 11:44:21 AMCompleted: Dec 26, 2025, 11:44:37 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 20 HTTP transactions. The main domain is siash-app.top and was registered NaN years ago.

Submitted URL: https://siash-app.top/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing scam; do not enter credentials.

Risk Factors
Newly registered domain (<7 days)
Credential‑harvesting login form
Disguised password field (type='text' with password placeholder)
Unicode characters used to obscure field labels
Domain age information unavailable

Details

Page Title

Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'siash-app.top' uses the .top top-level domain and has no subdomain. The registrable portion 'siash-app' spans 9 characters holding three vowels versus 5 consonants, notching 1 hyphen. Tokenizing the label suggests 3 words: si, ash, app. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://siash-app.top/

Page Load Overview

0.94s
Total Load Time
4
HTTP Requests
1
Domains
78 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:116 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4185.138.88.209Amsterdam, North Holland, Netherlands
AS215540Global Connectivity Solutions Llp
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A912006B66A304467813D5A82BE757063325D013C20AD97C3FDC629C8F8AAD99DB37CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:YoEXifmmVQVf+jFHhvaxw4qSV9p0zeYZyJWCPEoj8VY:JhF15S5EOgC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9713:OIIsCAQSgCgUnF2uHAGDhnsAAR2AmQBC0AAKCsIAQhRISCQypAFLISkA1DhlICyI9HLMcbBOyFgkCyIoJAITSPC+TDGABRz3

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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