Security Scan Report: dirlycell.com

Redirected to:
https://dirlycell.com/
Submitted: Nov 11, 2025, 3:36:32 AMCompleted: Nov 11, 2025, 3:37:45 AMpubliccompleted
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Summary

This website contacted 21 IPs in 0 countries across 2 domains to perform 15 HTTP transactions. The main domain is dirlycell.com and was registered NaN years ago.

Submitted URL: http://dirlycell.com/

Effective URL: https://dirlycell.com/Redirected

AI Security Verdict

Low Risk

Confidence: 70%

4
Risk Score

New, unranked site with no malicious signs; low risk but should be watched

Risk Factors
Very new domain (registered 2 days ago) increases likelihood of abuse
Domain is unranked in Cisco Umbrella (not in top 1 M) which is atypical for established businesses
Safety Factors
No forms collecting sensitive data
No known malicious Indicators of Compromise
Content appears to be a legitimate local phone‑shop offering services
Domain age information unavailable

Details

Page Title

DIRLY CELL - Jual Beli HP Bekas & Servis Terpercaya

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

documentation technical

(29%)

Domain Information

Within the commercial generic top-level domain (.com), 'dirlycell.com' is registered while skipping any subdomain. Its registrable label 'dirlycell' stretches across 9 characters split between 2 vowels and seven consonants. Splitting it apart reveals three words: di, rly, cell. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://dirlycell.com/

Page Load Overview

1.32s
Total Load Time
15
HTTP Requests
2
Domains
625 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:51 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

documentation technical29% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
29%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15185.158.133.1UnknownUnknown
0142.250.186.123UnknownUnknown
0142.250.186.155UnknownUnknown
02a00:1450:4001:80e::201bUnknownUnknown
0216.58.206.91UnknownUnknown
0216.58.206.59UnknownUnknown
0142.250.185.251UnknownUnknown
0142.250.185.187UnknownUnknown
0142.250.181.251UnknownUnknown
0142.250.185.123UnknownUnknown
1521--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F763E7256288173DA417CB94F6E97338512DE20ADB6B851EF2AD00B347C2ED5EC73798

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GWXx/c64Jysq7vnSJQTVicWzmi7TXVYlWJ4zfJ8sXVnUz:Xv0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:71031:ANKAxTB0ogtPBiMSTqYSICACWcCCGFiABGChjDTAAYGq0kqwSkA1yguAIzJgCIHP0WCJCABATAClASlg6EQTPkgFALxQJkLI

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:0300e56563011919
Perceptual Hash:a2741d2da196b7e1
Difference Hash:8e218d8d9769b131
Wavelet Hash:0381e567677f1919
Color Hash:#79b9d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data