ScanMalware.com

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LIMITED DATA

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Security Scan Report: click-to-apply.netlify.app

Page Did Not Load

This site did not respond consistently during our scan — it may be intermittently unreachable, or refusing automated visitors. The screenshot and page details below show the page as it was captured.

Submitted: Oct 23, 2025, 10:19:22 PMCompleted: Oct 23, 2025, 10:21:19 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

High‑risk phishing site using URL manipulation; do not trust or provide any data.

Risk Factors
URL manipulation (spoofed URL) – strong phishing technique
Unranked, likely newly registered domain
Content served from chrome-error://chromewebdata/ instead of the claimed domain
Domain age information unavailable

Details

Page Title

Facebook Page Support Centersecondary capture

Scan Type

public

Domain Name Analysis

Domain 'click-to-apply.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'click-to-apply'. The core label 'netlify' covers 7 characters holding 2 vowels versus five consonants. It segments into 3 words: net, li, fy. Median word length is 2 characters. The linguistic tilt is Esperanto for 'neto'. You will also see it in Bosnian and Serbian contexts.

Screenshot

Security scan screenshot of https://click-to-apply.netlify.app/

Page Load Overview

35.20s
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:778 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
59%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
335.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
063.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136048F77329A063D86558498E057430D9F20B543B50AC8BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ifQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsz62bMy8Oldr:ZhoC9J395CbZgLtSL3gcrsO2eAJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:186339:tiBBIwlAAAJUpMg4+mAwsOhO+IA4ECRQAihWSsAAAADBYAJ6yWOkhJDADgQQbkgkDS+QZE3bAmtBgmQSgIBAAECRYHTJYAFx

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:3f1f0707c0f8f0f0
Color Hash:#3a3a78

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data