Security Scan Report: claim-fb.netlify.app

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Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://claim-fb.netlify.app/

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Free netlify subdomain named claim-fb (Facebook-claim lure) carries a single-source phishing report and has no verifiable content or reputation. Concrete phishing indicator present; treat as HIGH_RISK despite no captured forms.

Risk Factors (3)
Single-source (unverified) phishing threat-intel match on the primary domain
Deceptive hostname pattern pairing 'claim' with 'fb', implying a Facebook-related offer on a domain not owned by Meta
Unranked subdomain on a free shared hosting platform with unknown real creation date
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'claim-fb.netlify.app' is registered and includes subdomain 'claim-fb'. The core label 'netlify' covers 7 characters containing two vowels alongside five consonants. It segments into 3 words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://claim-fb.netlify.app/

Page Load Overview

0.35s
Total Load Time
15 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Text Length:13 chars
Detector Agreement:0%

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
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A69002F9A09120096C2035A40CD513420E2546542009BA19599025A4881851D886218A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ63agz:qzxO9631z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:d93ab1e3ea0494bf970c3b031a646259

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:7fffffffffffffff
Perceptual Hash:87070707070f1f7f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:N/A

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data