ScanMalware.com

Security Scan Report: donalditoqp.pages.dev

Submitted: Dec 19, 2025, 9:47:42 PMCompleted: Dec 19, 2025, 9:47:58 PMpubliccompleted
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Summary

This website contacted 27 IPs in 1 country across 15 domains to perform 56 HTTP transactions. The main domain is donalditoqp.pages.dev and was registered NaN years ago.

Submitted URL: https://donalditoqp.pages.dev/jsfp-social-security-cola-2025-prediction-in-india-klkcv/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational site with no security concerns.

Safety Factors
Established domain age
Absence of credential or payment collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Social Security Cola 2025 Prediction In India - Donald Ito Q.P

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(39%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'donalditoqp.pages.dev' is registered; it also runs on subdomain 'donalditoqp'. The core label 'pages' covers 5 characters with two vowels and 3 consonants. Word splitting yields one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://donalditoqp.pages.dev/jsfp-social-security-cola-2025-prediction-in-india-klkcv/

Page Load Overview

2.91s
Total Load Time
56
HTTP Requests
15
Domains
3.8 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-US
Text Length:6,220 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service39% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
39%
finance banking
37%
news/blog
35%
healthcare medical
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
434.195.60.139Ashburn, Virginia, United States
AS14618AMAZON-AES
2172.67.75.107United States
AS13335CLOUDFLARENET
2104.20.23.96United States
AS13335CLOUDFLARENET
2172.64.149.94United States
AS13335CLOUDFLARENET
2192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
2172.66.47.149United States
AS13335CLOUDFLARENET
213.248.213.45United States
AS16509AMAZON-02
2104.18.19.5United States
AS13335CLOUDFLARENET
2104.21.93.218United States
AS13335CLOUDFLARENET
2142.250.185.118United States
AS15169GOOGLE
5627--

Detected Technologies7

WordPressv6.7.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183433C72669E20776E0F63DDD2A3770CF6799638CA034C9A35FC51486B94EF2421B18D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gwapzT+1iXLrN1o5dkXLrN1o5dqqJgwfUqJgwfB:gPNTcz3UqJgwfUqJgwfB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58335:9AagZABMMUGWiiKpgLxaRZYGGcACiGUSFE5EGYzkMhEQ6RYeCPVEAEAJFTECgiBALEwABCUNA6gNUFkguOKCLGVFEAl5tQou

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:ffffcf878787ff87
Perceptual Hash:b2cdc93238cd32cd
Difference Hash:283a3e3c2c0c3c3c
Wavelet Hash:8c9e838787878f87
Color Hash:#a787c5

Other Hashes

Crop Resistant:283a3e3c2c0c3c3c,91b3cdd9bd322131

Scan History

Scan history not available

Unable to load historical scan data