ScanMalware.com

Security Scan Report: malthelindc.pages.dev

Submitted: Dec 20, 2025, 4:48:40 AMCompleted: Dec 20, 2025, 4:49:15 AMpubliccompleted
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Summary

This website contacted 21 IPs in 2 countries across 19 domains to perform 45 HTTP transactions. The main domain is malthelindc.pages.dev and was registered NaN years ago.

Submitted URL: https://malthelindc.pages.dev/abrbg-social-security-data-breach-2025-notification-nnlbk/

AI Security Verdict

Low Risk

Confidence: 70%

3
Risk Score

Suspicious page with brand impersonation but no credential collection; low risk.

Risk Factors
Brand impersonation on a non‑official domain (pages.dev subdomain)
Nonsensical OCR text designed to appear official
Safety Factors
Domain age > 5 years (well‑established)
No password, email, or payment fields in any forms
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Page Title

Social Security Data Breach 2025 Notification - Malthe C. Lind

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(35%)

Domain Information

You're looking at domain 'malthelindc.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'malthelindc'. The registrable portion 'pages' spans 5 characters split between 2 vowels and 3 consonants. Segmentation suggests one word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://malthelindc.pages.dev/abrbg-social-security-data-breach-2025-notification-nnlbk/

Page Load Overview

7.33s
Total Load Time
45
HTTP Requests
19
Domains
2.8 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:3,266 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service35% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
35%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.26.7.31United States
AS13335CLOUDFLARENET
2104.21.18.46United States
AS13335CLOUDFLARENET
2172.240.127.242United States
AS7979SERVERS-COM
2104.20.23.96United States
AS13335CLOUDFLARENET
2188.114.97.3United States
AS13335CLOUDFLARENET
213.32.121.48New York, New York, United States
AS16509AMAZON-02
2199.60.103.31United States
AS209242Cloudflare London, LLC
2172.67.180.98United States
AS13335CLOUDFLARENET
2142.250.184.195United States
AS15169GOOGLE
2172.66.43.41United States
AS13335CLOUDFLARENET
4521--

Detected Technologies8

WordPressv6.6.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv4.5.0
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

T14E031933909C11773B0F63D8A1A2F31CE5A7A628CE134A2A7AFD51185B90DF605B716E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:TVaNScAzyEwecZdapzVTWZuuB0nOmcHMzz9xEhZkmzIx1vJ5YxYM:TVaNScAzyEwesapZTWouB0nOmcHMn9xq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39486:EiCgAnIwAUTAVBVrqgSCTSGiEiERgkLCECFLcXAgEIGkBAVfCGkNjUixCgUpAAReVsYCEcQQBHSAREXIAUqIgagq3nQvAJcq

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:e7c3f3048181ffff
Perceptual Hash:e464919b93936cec
Difference Hash:0c8626c92b2bd400
Wavelet Hash:c6c3d3000181ffff
Color Hash:#bf4a40

Other Hashes

Crop Resistant:0c8626c92b2bd400

Scan History

Scan history not available

Unable to load historical scan data