Security Scan Report: newsmthhhhdsasc.netlify.app

Submitted: Jul 4, 2026, 7:52:01 AMCompleted: Jul 4, 2026, 7:53:33 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is newsmthhhhdsasc.netlify.app and was registered NaN years ago.

Submitted URL: https://newsmthhhhdsasc.netlify.app/

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Google Safe Browsing flags this Netlify subdomain for social engineering despite no visible malicious content; treat as high‑risk phishing site.

Risk Factors
Social Engineering Safe Browsing detection
Unknown subdomain age on a hosting platform
Unranked domain reputation
Potential brand impersonation (no evidence, but URL could be used for phishing)
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

Domain 'newsmthhhhdsasc.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'newsmthhhhdsasc'. The registrable portion 'netlify' spans 7 characters with 2 vowels and five consonants. Breaking it apart gives 3 words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://newsmthhhhdsasc.netlify.app/

Page Load Overview

8.11s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:777 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
55%
adult content
44%
news media journalism
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1236161A9D41A203F6D97681F13A4CA4D60297647DC9147D8FFEA53ACD2DBAF305C2428

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXf:TGHwyA2qlRYZJ3RoXIr+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACYgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUACEAEQAQAAAiAEAAAACAIAAAAAIRA

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:ffffe7e7e7e7ffff
Perceptual Hash:b366cc9933649933
Difference Hash:00000c0c0c080000
Wavelet Hash:fcfce4e427270303
Color Hash:#d2772d

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data