ScanMalware.com

Security Scan Report: 33hope.com

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/8c62a6ec-3598-4e98-a7a8-5c8c3ddfe505Domain and IP registration (RDAP)/api/v1/rdap/8c62a6ec-3598-4e98-a7a8-5c8c3ddfe505How often this domain was scanned/api/v1/domain/stats/33hope.comScan history for this domain/api/v1/domain/history/33hope.com?limit=15
This website contacted 4 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is 33hope.com and was registered 17 years ago.

Submitted URL: https://33hope.com/about-us/the-team/jim-caviezel/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established self-branded site with biographical content and a standard contact form; no phishing, malware, impersonation, or credential-collection evidence.

Safety Factors (5)
Long-established domain with minimal domain-age risk
No impersonation of a different brand detected
No credential-harvesting or payment-collection fields present
No Indicators of Compromise, malware, or phishing alerts
Bot-protection/scanner mismatch is consistent with ordinary site protection and not malicious on its own
Domain age information unavailable

Details

Page Title

Jim Caviezel | 33 Hopeother network

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), '33hope.com' is registered. The core label '33hope' covers 6 characters containing two vowels alongside 2 consonants, plus 2 digits. Tokenizing the label suggests two words: 33, hope. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Home Jim Caviezel Jim Caviezel, born James Patrick Caviezel, was bom and raised in the town of Conway, WA. Born on September 26, 1968, to James and Margaret Caviezel, Jim was one of five children (3...

Page Load Overview

75.10s
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,784 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
166.232.106.130Tampa, Florida, United States
AS29802HIVELOCITY, Inc.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.127.95Google · CDNUnited States
AS15169Google LLC
0142.250.154.94Google · CDNUnited States
AS15169Google LLC
14--

Detected Technologies4

X-UA-Compatible
100%
JQueryv1.11.0
100%
Bootstrapv3.2.0
100%
Google Hosted Libraries
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA32E81250F52A7600328758B45936DEFE5B982F9323D584B9FF0A293BC2D49C8375F8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Snyu6JTIEMRi6oYAz64xEf9bj+WJaHi5lDMkNsuQYORrM:7uaZQi3z2dx/NsuQYO2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11162:YQGFsA9qgAILmE2S5wl4A4NcMR2UwBQBQkcDDBZERLrhhGEJUGVAQAAIkjIFEgFJtGCwBgzIIt4KCnFKyIwBlhCRJM0T9AYG

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:00009bffffffffff
Perceptual Hash:ba4d4112b6afad92
Difference Hash:09b1332a2c3c1d3d
Wavelet Hash:0000008fdfdfcfdf
Color Hash:N/A

Other Hashes

Crop Resistant:09b1332a2c3c1d3d,010939050db3b30d

Scan History

Scan history not available

Unable to load historical scan data