Security Scan Report: zaheerlaw.netlify.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 6 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

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

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Fake DocuSign document-access page on a netlify.app subdomain impersonating the DocuSign brand to harvest emails — avoid entering any information.

Risk Factors (4)
Impersonation of the DocuSign brand on a non-DocuSign domain
Hosted on a free netlify.app subdomain with no verifiable ownership or creation date
Deceptive 'shared document' access lure designed to capture user email addresses
Unranked domain presenting itself as a major trusted brand
Domain age information unavailable

Details

Page Title

Docusign - Document Access

Scan Type

public

Domain Name Analysis

Domain 'zaheerlaw.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'zaheerlaw'. The second-level label 'netlify' is 7 characters long with two vowels and 5 consonants. Splitting it apart reveals three words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.53s
Total Load Time
239 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:252 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
63%
technology software
50%
news media journalism
50%
documentation technical
46%
healthcare medical
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
635.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
0104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.110.95Google · CDNUnited States
AS15169Google LLC
0151.101.1.229Fastly · CDNUnited States
AS54113Fastly, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.178.183.95Google · CDNUnited States
AS15169Google LLC
67--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ADB1665666B30156B803A42827EBAA5636A1D117C10BCD3D3FED6358CF44ED9DAB238C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T0TGgB851tA98fI+9ajDWfqkS2C21l8Obq4:dLtA98fIZjDWfq6C2oG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5461:K0BEBAEMBkIIELoAAIAEoHQhABBtsADwEMAkEGwwSIBQCDASjAoCBARAAxAgEAhAQlAiMIAIQFaAiAgADCSEkGBUDQAKCUQj

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:ffffe7efe7e7ffff
Perceptual Hash:b398cc6633996666
Difference Hash:001028084d4c3008
Wavelet Hash:e0f8e0e0c0c0e0f0
Color Hash:#1f931f

Other Hashes

Crop Resistant:001028084d4c3008

Scan History

Scan history not available

Unable to load historical scan data