Security Scan Report: delorismkallasm.pages.dev

Site favicon
Submitted: Nov 13, 2025, 9:01:32 PMCompleted: Nov 13, 2025, 9:02:13 PMpubliccompleted
Loading additional data...

Summary

This website contacted 37 IPs in 1 country across 14 domains to perform 41 HTTP transactions. The main domain is delorismkallasm.pages.dev.

Submitted URL: https://delorismkallasm.pages.dev/kompi-social-security-maximum-2025-dokvr/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns identified; site appears legitimate

Safety Factors
No malicious Indicators of Compromise matches
No credential or payment collection forms
No phishing indicators detected
Domain age information unavailable

Details

Page Title

Social Security Maximum 2025 - Deloris M Kallas

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(50%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'delorismkallasm.pages.dev' is registered with subdomain 'delorismkallasm'. The second-level label 'pages' is 5 characters long with 2 vowels and three consonants. Tokenizing the label suggests one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://delorismkallasm.pages.dev/kompi-social-security-maximum-2025-dokvr/

Page Load Overview

7.47s
Total Load Time
41
HTTP Requests
14
Domains
240 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-US
Text Length:2,727 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
50%
government public service
41%
corporate
35%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.67.75.176United States
AS13335CLOUDFLARENET
1172.66.47.132United States
AS13335CLOUDFLARENET
134.102.220.18Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1188.114.96.3United States
AS13335CLOUDFLARENET
1188.114.97.3United States
AS13335CLOUDFLARENET
1150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1172.66.44.124United States
AS13335CLOUDFLARENET
1151.101.130.98San Francisco, California, United States
AS54113FASTLY
1172.66.134.99United States
AS13335CLOUDFLARENET
1172.66.136.209United States
AS13335CLOUDFLARENET
4137--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126F2E93251AD14773A5F93D891A1332CA4EDEA34DA128BB271F672289FC4DF601B721D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:4PrZdap6lnBBQP3smq0hC9m87iIbQ5vEFZXX:MapOnBBQP3smq0k487iIbQ5vEFVX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36198:jGCwQETAjHMICFAAKgArBRuIIYKCYEAmYhTXERAAI9YkykRuSxiWAChyACA2ECBBIYgLIRFIQhjB4MWIEBnmEQDoE9RAVwoi

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:bfdfcf8387ffd7ff
Perceptual Hash:bc1cc7e3381cc762
Difference Hash:2e392e3f1f272f1c
Wavelet Hash:8f9d838383c383cf
Color Hash:#c587bd

Scan History

Scan history not available

Unable to load historical scan data