Security Scan Report: kp.count.ly

Redirected to:
https://kp.count.ly/login
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Submitted: Jul 16, 2026, 8:25:42 PMCompleted: Jul 16, 2026, 8:26:54 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is kp.count.ly and was registered NaN years ago.

Submitted URL: https://kp.count.ly

Effective URL: https://kp.count.ly/loginRedirected

The Cisco Umbrella rank of the primary domain is #55,705 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate login page for Countly with no malicious signals; low risk.

Safety Factors
Own brand (Countly) matches domain
Well‑established domain reputation (Umbrella rank 55,705)
No cross‑origin credential exfiltration
No obfuscation or malicious JavaScript
Domain age information unavailable

Details

Page Title

Countly | Login

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'kp.count.ly' uses the Libyan country-code top-level domain (.ly) with subdomain 'kp'. The second-level label 'count' is 5 characters long with two vowels and 3 consonants. Word splitting yields 1 word: count. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kp.count.ly

Page Load Overview

1.86s
Total Load Time
20
HTTP Requests
1
Domains
1.1 MB
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:278 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
208.35.192.27Google · CDNCouncil Bluffs, Iowa, United States
AS396982Google LLC
201--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T180C35130B53A102B602E8436B553D76F22BCBC37E213695AF66D9259C98734F0F99F06

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6Y187mnvK0U/VF2kiG/kUCXFuDK3tpmIauQ0WqOtO8WEj45vm:6eRpGCXFuqTdOtO8Wm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124298:AirCLAQgoVB0GWUkIBcDFRgZEIgQJNRpSYoiBLhJONCIYpBBIhU4IaQchAQI1AACIIAAGlGZSRUGv4EIQEaxyDbKAABKlmoR

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:7fe7e7e7ffffff7c
Perceptual Hash:a327898d2627d99d
Difference Hash:c0080c0c08000080
Wavelet Hash:78e1e4e4f0f0ff00
Color Hash:#6d2d86

Other Hashes

Crop Resistant:c0080c0c08000080

Scan History

Scan history not available

Unable to load historical scan data