ScanMalware.com

Security Scan Report: budget-unverify-position.pages.dev

Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/f9d2f297-f89b-49ad-97cf-08ed784c4175Domain and IP registration (RDAP)/api/v1/rdap/f9d2f297-f89b-49ad-97cf-08ed784c4175How often this domain was scanned/api/v1/domain/stats/budget-unverify-position.pages.devScan history for this domain/api/v1/domain/history/budget-unverify-position.pages.dev?limit=15
This website contacted 2 IPs in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://budget-unverify-position.pages.dev/

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Minimal pages.dev page titled Wallet Connect with no forms or threat-intel/malware hits; suspicious hosting subdomain and vague crypto context warrant caution.

Risk Factors (3)
Random-looking subdomain on free pages.dev hosting with unknown actual creation date
Wallet-related title on a non-official domain with no clear legitimate business identity
Minimal placeholder-style content provides little transparency about the operator
Safety Factors (5)
No credential or payment forms present
No cross-origin credential exfiltration detected
No external script hosts or external domains observed
No malware, phishing, or threat-intelligence matches
Verdict names no specific threat, and DOM analysis found no password field (real or disguised) or payment field and no other hard signal — elevated score unsupported; risk adjusted from 4 to 4
Domain age information unavailable

Details

Page Title

Wallet Connect

Scan Type

public

Domain Name Analysis

The domain 'budget-unverify-position.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'budget-unverify-position'. Count 5 characters in 'pages' split between two vowels and 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

The wallet surface launch grant is missing.

Page Load Overview

0.58s
Total Load Time
300 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:58 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking47% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
47%
technology software
34%
cryptocurrency blockchain
32%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.66.45.17Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.46.239Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
42--

Detected Technologies2

HTTP/3
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C0144230473E31CBA3003565CF360FAD6CCA40453C24D54BF700DA8820DAC9ACB3788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:n01A2Z7ctyw2WWMhGrG01mF655+3i4V5RZ8kADFjUkCXL+L0B3d2WWMhGrGzI:n01AXgfWWMhp0z50fROFjbC7+Lw0WWMQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:674:AAAAAAAAACEAACAAAAAAAAAAAAAACISAAAAIAAAECAAAAAAAAAAAAIAAAAAAAAAAAIAAACAAAAAAAAAAAABAAAAAAEAAAAAA

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:3fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:07000000000

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data