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Security Scan Report: www.bloggersodear.com

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Submitted: Nov 22, 2025, 2:34:44 AMCompleted: Nov 22, 2025, 2:36:33 AMpubliccompleted
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Summary

This website contacted 81 IPs in 4 countries across 31 domains to perform 166 HTTP transactions. The main domain is bloggersodear.com and was registered NaN years ago.

Submitted URL: https://www.bloggersodear.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no detectable security threats.

Safety Factors
Well‑established domain (>16 years old)
No credential or payment collection forms
No malicious Indicators of Compromise detected
No brand impersonation or typographical squatting observed
Domain age information unavailable

Details

Page Title

Blogger So Dear

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(55%)

Domain Information

Domain 'www.bloggersodear.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The core label 'bloggersodear' covers 13 characters containing five vowels alongside 8 consonants. It segments into three words: blogger, so, dear. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bloggersodear.com/

Page Load Overview

1.64s
Total Load Time
166
HTTP Requests
31
Domains
4.9 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:8,138 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network55% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
55%
forum community discussion
33%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
45192.0.66.223San Francisco, California, United States
AS2635AUTOMATTIC
36146.75.121.246Frankfurt am Main, Hesse, Germany
AS54113FASTLY
13104.18.87.42United States
AS13335CLOUDFLARENET
11172.66.148.140United States
AS13335CLOUDFLARENET
7216.58.206.38United States
AS15169GOOGLE
6142.250.185.66United States
AS15169GOOGLE
6108.138.4.226United States
AS16509AMAZON-02
5146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
4146.75.120.124Frankfurt am Main, Hesse, Germany
AS54113FASTLY
4172.64.155.110United States
AS13335CLOUDFLARENET
16681--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103B43319119A501687BE0B8B35953AC0E1B2D0DBF995C2E473EB6FDE63C16CBD01327A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:bI2seDjrM+TeeDeQeeFJOeeneeneenYyZ1AeemHeecweesVeemweewpee2Feerog:bIkDjrM+7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500084:CBSAVIhrSJuIgdKAgREDgBkyDMEZQD2psokgEAA2mpy4AIHUIDiIUpASrMSrRCESLECEADsYLTEoAKAV19CQEUKlgQIhFoAz

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:ffff0000c3c3fbff
Perceptual Hash:e91696edb9421669
Difference Hash:4a17d1930b2b233b
Wavelet Hash:ffff000081c1c1ff
Color Hash:#c6d279

Other Hashes

Crop Resistant:4a17d1930b2b233b,34d4d3f2d0c533b3,a13133c14d6163e3,a4b4a7c24c0cadaf,78694bf9fb67ae8d

Scan History

Scan history not available

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