Security Scan Report: balmahunter.pages.dev

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Submitted: Dec 10, 2025, 1:57:02 AMCompleted: Dec 10, 2025, 1:57:40 AMpubliccompleted
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Summary

This website contacted 46 IPs in 4 countries across 16 domains to perform 55 HTTP transactions. The main domain is balmahunter.pages.dev.

Submitted URL: https://balmahunter.pages.dev/opusd-social-security-tax-limit-2025-increase-fpgpl/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears to be a legitimate informational page with no security concerns.

Safety Factors
Provides publicly available information about Social Security tax limits
No credential or payment collection forms present
No malicious Indicators of Compromise matches found
Domain not flagged by threat intelligence sources
Domain age information unavailable

Details

Page Title

Social Security Tax Limit 2025 Increase - B Alma Hunter

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

The domain 'balmahunter.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'balmahunter'. The registrable portion 'pages' spans 5 characters with two vowels and three consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://balmahunter.pages.dev/opusd-social-security-tax-limit-2025-increase-fpgpl/

Page Load Overview

8.42s
Total Load Time
55
HTTP Requests
16
Domains
1.4 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:3,101 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
70%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1095.179.245.162Frankfurt am Main, Hesse, Germany
AS20473AS-VULTR
123.185.0.1United States
AS54113FASTLY
1142.250.186.163United States
AS15169GOOGLE
1192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
1172.67.166.38United States
AS13335CLOUDFLARENET
1104.198.108.103The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
1172.66.169.241United States
AS13335CLOUDFLARENET
1162.159.141.224United States
AS13335CLOUDFLARENET
1192.248.191.135Frankfurt am Main, Hesse, Germany
AS20473AS-VULTR
118.66.147.125United States
AS16509AMAZON-02
5546--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F9131A32529D14773A1F63DA6162B71DEAEA7514CA034BB673FC20289BC4EF901B345E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ZOR7LZdapz4cTWZRnchmksS8Iy0PdGfO1DM8RfqWcJcgsj3:kap8cTWfnchmFS8I7G21DnfqWcJcgsj3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43942:CgAGAgjAcCAVUBUJDItha9AApSEY4ihCUABFMIiQCmWLsRcoR4CMYxjJSM2vBCQhBAADAZhEIBgADATAkuAApqEqEJAWk9at

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:00dfffffffffff8f
Perceptual Hash:bd4c3e433e41374c
Difference Hash:b53b24533a1a1b3e
Wavelet Hash:00009fef9bcfc387
Color Hash:#1f934e

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data