Security Scan Report: russellbsato.pages.dev

Submitted: Jan 11, 2026, 3:10:56 AMCompleted: Jan 11, 2026, 3:12:34 AMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 15 domains to perform 25 HTTP transactions. The main domain is russellbsato.pages.dev and was registered NaN years ago.

Submitted URL: https://russellbsato.pages.dev/rmmbvu-social-security-2025-increase-announcements-bllowfw/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating Social Security on an untrusted domain

Risk Factors
Brand impersonation of a government agency on an unrelated domain
Unranked domain with no reputable Cisco Umbrella ranking
Suspicious OCR text that appears unrelated to the claimed topic
Domain age information unavailable

Details

Page Title

Social Security 2025 Increase Announcements - Rami Belle

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

technology software

(63%)

Domain Information

Domain 'russellbsato.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'russellbsato'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://russellbsato.pages.dev/rmmbvu-social-security-2025-increase-announcements-bllowfw/

Page Load Overview

94.61s
Total Load Time
25
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:7,991 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
63%
cryptocurrency blockchain
60%
healthcare medical
60%
documentation technical
56%
finance banking
56%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1123.36.163.17Germany
1172.67.73.219Germany
118.66.122.39Germany
1172.66.44.111United States
AS13335CLOUDFLARENET
1141.193.213.11Germany
1104.21.20.232United States
AS13335CLOUDFLARENET
1142.250.185.195GermanyUnknown
1104.21.81.82United States
AS13335CLOUDFLARENET
1142.250.185.74GermanyUnknown
1104.21.11.140United States
AS13335CLOUDFLARENET
015--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD53F9E2649521365D1B8BA653CC361C9D3CAE22CA024E6E71BD11195FC6FF913A332F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3MVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIaap7Dyrrqpqx1LgMJJPl6EdxjtzqpCI:ht2xjtzqpC/irQe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63597:4MiY0ICAbLiJQagvQAgcTsIQFa8pmNkACEKBOciAOIsYAIJSjgJCsqzAALgAgyQQSAy1AAAIHIGRIaUAAAFwEoJwVQBVOLwk

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:ffffffffff878787
Perceptual Hash:b6c936e4c33cc619
Difference Hash:0c092b2f2e2f2f2f
Wavelet Hash:e7ff858383838383
Color Hash:#d27991

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data