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Security Scan Report: asknice.ly

Redirected to: https://www.asknicely.com/

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Submitted: Mar 2, 2026, 10:30:37 PMCompleted: Mar 2, 2026, 10:31:26 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 17 domains to perform 52 HTTP transactions. The main domain is asknicely.com and was registered NaN years ago.

Submitted URL: https://asknice.ly

Effective URL: https://www.asknicely.com/Redirected

The Cisco Umbrella rank of the primary domain is #89,949 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate site; no security concerns detected.

Safety Factors
Established domain with long registration history
Top‑ranked in Cisco Umbrella
Meta tags correctly describe AskNicely service
Only email‑only contact form submitting to trusted HubSpot endpoint
No credential or payment collection
Domain age information unavailable

Details

Page Title

AskNicely: Customer Experience Software

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

The domain 'asknice.ly' uses the Libyan country-code top-level domain (.ly) without a subdomain. The core label 'asknice' covers 7 characters split between three vowels and four consonants. Word splitting yields two words: ask, nice. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://asknice.ly

Page Load Overview

5.18s
Total Load Time
99
HTTP Requests
37
Domains
15.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:8,901 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1952.45.196.192Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
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599.84.152.119United States
AS8075
5157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5104.18.80.204United States
AS13335Cloudflare, Inc.
5199.60.103.29United States
AS209242Cloudflare London, LLC
5142.250.186.74United States
AS15169Google LLC
5104.26.1.192United States
AS14618
5142.250.186.42United States
AS15169Google LLC
513.226.247.129United StatesUnknown
9917--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186D309B1A146257A75078FA0E261372D71D7C27ADF035694A7F843B1AFC6C8ECC6684C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ZFSfdpdCua8fwzuvT6s4Oh3oOWf7OF9QKbAhLlns7UdM:fiJCuaytjjD4Bs7UdM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:141807:FVoggBhcQiFQCsEhDDvEQNFQAKC5SYMCRQkVZkQZT1BIFQKQGEAlQAgFCjCjQDIwhAslkCcIYGi05ASzmABCIVSCCRh0iEmR

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:ff002c0e4c181818
Perceptual Hash:99b3ccecb099e0ca
Difference Hash:29c9d8d8983133ab
Wavelet Hash:ff002c6e6f3d3818
Color Hash:#d2902d

Other Hashes

Crop Resistant:29c9d8d8983133ab,2e3efabefe7e6b9f,383df3e5e9f9d1c1,b2f4ebcdce9696d2,c9d8d8d89933b3aa

Scan History

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