Security Scan Report: loffredo.pepr.app

Submitted: Jan 22, 2026, 10:14:22 PMCompleted: Jan 22, 2026, 10:15:43 PMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 71 HTTP transactions. The main domain is loffredo.pepr.app and was registered NaN years ago.

Submitted URL: https://loffredo.pepr.app

The Cisco Umbrella rank of the primary domain is #168,575 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>5 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

Loffredo Fresh Foods

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

government public service

(53%)

Domain Information

Domain 'loffredo.pepr.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'loffredo'. The second-level label 'pepr' is 4 characters long containing one vowel alongside three consonants. Segmentation suggests 2 words: pep, r. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://loffredo.pepr.app

Page Load Overview

5.22s
Total Load Time
34
HTTP Requests
3
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:159 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service53% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
53%
news media journalism
51%
healthcare medical
45%
e-commerce shopping
44%
cryptocurrency blockchain
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1018.245.46.6United States
AS16509AMAZON-02
6104.17.25.14United States
652.217.203.248United StatesUnknown
699.83.156.253United StatesUnknown
6166.117.106.109United States
AS16509AMAZON-02
345--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6C2C871BE050052230B7CD79236B34F7236A15B8E22C8817BDEB256AF96DD64E43ED4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qwZmxlQ4W+YnyXSSEPsTsksns9scsTsXsTsNsTsY2df2M0jxC/peXXXZXtQMtQS6:q9lQf+YnyXSSEP0ZWGF0q0y0N2dOp1He

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28147:QgQFJLGKTK2jKQaEXAUoFagQYrBJAgEBKVgsyQBhSA9SYImOhARQwNXCQMAJIogYBUCKDRBciIQIOkBCFUlbBcMcGLsLEoAW

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:fbf9f81818180000
Perceptual Hash:ccd8238c9d27b2dc
Difference Hash:b2913133b2b26e12
Wavelet Hash:fffff8f83c180000
Color Hash:#93211f

Scan History

Scan history not available

Unable to load historical scan data