Security Scan Report: prezo.ai

Redirected to: https://prezo.ai/public/new-evri-update---6dd554fe-1976-4695-bded-4ac58cf93082#ba3ec984-631a-4475-8c7b-51ca3d134778

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Submitted: Dec 5, 2025, 10:19:56 AMCompleted: Dec 5, 2025, 10:21:56 AMpubliccompleted
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Summary

This website contacted 30 IPs in 2 countries across 9 domains to perform 133 HTTP transactions. The main domain is prezo.ai and was registered NaN years ago.

Submitted URL: https://prezo.ai/public/new-evri-update---6dd554fe-1976-4695-bded-4ac58cf93082

Effective URL: https://prezo.ai/public/new-evri-update---6dd554fe-1976-4695-bded-4ac58cf93082#ba3ec984-631a-4475-8c7b-51ca3d134778Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

High‑risk phishing site impersonating Evri; do not click links or provide any information.

Risk Factors
Brand impersonation on a non‑official domain
Unranked/low‑reputation domain used for phishing
Urgent delivery‑schedule lure
Final URL does not match the advertised brand
Domain age information unavailable

Details

Page Title

New Evri Update 📦

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

The domain 'prezo.ai' uses the Anguillan country-code top-level domain (.ai) without a subdomain. The registrable portion 'prezo' spans 5 characters holding two vowels versus three consonants. Segmentation suggests 2 words: prez, o. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://prezo.ai/public/new-evri-update---6dd554fe-1976-4695-bded-4ac58cf93082

Page Load Overview

0.96s
Total Load Time
133
HTTP Requests
9
Domains
1.8 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:163 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
80104.26.0.50United States
AS13335CLOUDFLARENET
37104.26.2.158United States
AS13335CLOUDFLARENET
17104.26.1.50United States
AS13335CLOUDFLARENET
634.120.195.249Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
5172.66.166.164United States
AS13335CLOUDFLARENET
4172.67.73.144United States
AS13335CLOUDFLARENET
4172.67.74.244United States
AS13335CLOUDFLARENET
4104.21.43.148United States
AS13335CLOUDFLARENET
4104.20.17.167United States
AS13335CLOUDFLARENET
4104.26.3.158United States
AS13335CLOUDFLARENET
13330--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11524D869A75C503F7C13D1F5A6E4AD8CB01BB2C2DF371BE9B99210208AD1BF61D62724

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:wwLwJCiadZM2axhz5nEMvX+kfHkGW6Jz0kOtvTGfHDB2k/H24wLwJCiadZM2axhc:7GfHAG04NKWQZZUS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:216532:kDSGuAQId9oxGMgAgQrahwQSbzqMiGS0gxyACPPDQIDGiAWQSAgEQWaAME0FgFAgxQAQBgMQxiEvDDULEG40YRDRAQIXtAbD

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:ff9f9f9f9f9f9f9f
Perceptual Hash:bcc3c7f0c11ec3c1
Difference Hash:3034383934343630
Wavelet Hash:8180808c1f0f1f1d
Color Hash:#93651f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data