Security Scan Report: annerussellnotary.com

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 9 domains to perform 90 HTTP transactions. The main domain is annerussellnotary.com and was registered 3 weeks ago.

Submitted URL: https://annerussellnotary.com/

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Unfinished notary website template with placeholder text; no forms, no brand impersonation, no threat-intel, hunting rule or IDS hits. Only a 15-day-old unranked domain — weak prior, not evidence of a scam.

Risk Factors (2)
Very new domain (15 days) with no established reputation
Page content is an unpopulated template with placeholder text, so the operator's real identity, phone and service area are not yet verifiable
Safety Factors (5)
No credential, login or payment forms present
No threat-intelligence matches, no JavaScript malware patterns detected, no network IDS alerts
No impersonation of another organisation's brand; page displays its own notary-service branding
Third-party scripts are limited to top-1M-ranked services (fonts, Cloudflare analytics, GoHighLevel/LeadConnector CRM)
Content describes a plausible legitimate small business (mobile notary) with a physical address indicator
Domain age information unavailable

Details

Page Title

Mobile Notary Public

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'annerussellnotary.com' is registered and has no subdomain. Its registrable label 'annerussellnotary' stretches across 17 characters containing 6 vowels alongside 11 consonants. Breaking it apart gives three words: anne, russell, notary. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

wu © 123-456=789 Business Name Home F Q youremail@gmal.com Services Contact Mobile Notary Public in [insert location(s) here] Fast, Reliable Notary Services Need a trusted mobile notary in [inser...

Page Load Overview

3.05s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,215 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13162.159.140.166Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11172.64.149.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11142.251.110.95Google · CDNUnited States
AS15169Google LLC
11172.64.153.218Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11104.18.34.38Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11142.251.20.94Google · CDNUnited States
AS15169Google LLC
11142.251.110.94Google · CDNUnited States
AS15169Google LLC
908--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D74C7AF9C0C103F1213C96535B6AA1CB2765D0CC30E8EE8AE7583A85FB2DB1157F695

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:mt9Xo38ZXDDDDGBsoO7e2ttOzBgcZyRxFY7tylicp/uuVKt5KaWvFtL8i:mt943uXDDDDDM+v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:359841:BgAmFFYmQIAwGAUXEggIghNpwUwQFJoBAgCCCWpG0ukxA4VCQyjKQWRCRC6wZk5OEIERAAkHlg1JTCiIAIAAZCZCLi4REAQj

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:ffd3c3c3d3c3ffff
Perceptual Hash:ec6c9393c46c2bc6
Difference Hash:22961616960b060b
Wavelet Hash:b0c28383c3c3ffc3
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data