Security Scan Report: www.criczop.com

Redirected to:
https://www.criczop.com/live-cricket-score/rajasthan-royals-vs-delhi-c...
Site favicon
Submitted: May 1, 2026, 2:16:38 PMCompleted: May 1, 2026, 2:18:06 PMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 46 HTTP transactions. The main domain is criczop.com and was registered NaN years ago.

Submitted URL: https://www.criczop.com/scorecard/rajasthan-royals-vs-delhi-capitals-73809-128471

Effective URL: https://www.criczop.com/live-cricket-score/rajasthan-royals-vs-delhi-capitals-match-9-28-march-2024/match-scorecardRedirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site appears legitimate with low risk; no phishing or malware indicators, but unranked domain and heavy JS obfuscation suggest caution.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1M)
JavaScript obfuscation score is CRITICAL (high entropy, base64, charcode manipulation)
Safety Factors
No forms, password fields, or payment fields present
No malicious Indicators of Compromise detected
Self‑branding aligns with the domain, indicating no brand impersonation
Domain age information unavailable

Details

Page Title

RR vs DC Match Scorecard & Live Updates | IPL 2024 | Criczop

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(52%)

Domain Information

Domain 'www.criczop.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'criczop' stretches across 7 characters with 2 vowels and 5 consonants. Word splitting yields three words: cri, cz, op. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.criczop.com/scorecard/rajasthan-royals-vs-delhi-capitals-73809-128471

Page Load Overview

3.07s
Total Load Time
74
HTTP Requests
9
Domains
330 KB
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:3,520 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service52% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
52%
adult content
48%
gambling betting
43%
technology software
42%
news media journalism
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14188.114.96.3United States
AS13335Cloudflare, Inc.
1213.32.99.105New York, New York, United States
AS16509Amazon.com, Inc.
1218.245.86.11United States
AS16509Amazon.com, Inc.
123.160.150.117United States
AS16509Amazon.com, Inc.
12142.251.14.156United States
AS15169Google LLC
1213.226.244.112United States
AS16509Amazon.com, Inc.
746--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2B41927B105D029C862ED0EA37E6F3B65348151DA6ECADDEEBCCE90D75227D8B5090C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:MwwBSbhKSbhUSbhxSbhgSbheSbhdSbhYSbhdvCY:MpBSASSSHSSS8SXSSSHx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:504797:KSoCACJEUmgAcAoUgwCYiRIuEguhgyWTIQTSVCBmYAgPAJIQARBYY0DIHEHiZ+OgGAQIJAdiYRNEgABQACWQDGBUYAKCMhOM

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:1818181838181818
Perceptual Hash:cc996666333999c6
Difference Hash:2a32323220202020
Wavelet Hash:183c3c3c3c3c3c3c
Color Hash:#bf7540

Other Hashes

Crop Resistant:2a32323220202020

Scan History

Scan history not available

Unable to load historical scan data