Security Scan Report: download-mac.grammarly.com

Submitted: Dec 4, 2025, 6:40:06 AMCompleted: Dec 4, 2025, 6:42:07 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is download-mac.grammarly.com and was registered NaN years ago.

Submitted URL: https://download-mac.grammarly.com/

The Cisco Umbrella rank of the primary domain is #757 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Established brand subdomain (download-mac.grammarly.com)
High reputation ranking
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(36%)

Domain Information

Domain 'download-mac.grammarly.com' uses the commercial generic top-level domain (.com), featuring subdomain 'download-mac'. The registrable portion 'grammarly' spans 9 characters split between 2 vowels and seven consonants. Tokenizing the label suggests 2 words: grammar, ly. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://download-mac.grammarly.com/

Page Load Overview

0.62s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:456 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical36% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
36%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.33.187.35New York, New York, United States
AS16509AMAZON-02
013.33.187.90New York, New York, United States
AS16509AMAZON-02
013.33.187.97New York, New York, United States
AS16509AMAZON-02
013.33.187.112New York, New York, United States
AS16509AMAZON-02
24--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107515466EAA319661137C9E116FF675632EEC037D19E6214FA9CA388CFCDD40B921901

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9KH2exk1ncqugukVPANyAgN+h3FFNKT2e0ertF:niFWN15AN427zHFczgumPANhgN0LN7Fa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2856:BCAAMAAEEQAABAAAEAEAoIAABEgKAgAgAAAwIAADCoERBAIAAEqYARLAAAAEgAUAABACAgAAEAlAACAgCAIAAAAAAMACAGAB

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:000f01ffffffff01
Perceptual Hash:8b022fd763d069d5
Difference Hash:c979b18010020003
Wavelet Hash:000f007ffcfcff00
Color Hash:#5d3a78

Other Hashes

Crop Resistant:c979b18010020003

Scan History

Scan history not available

Unable to load historical scan data