Security Scan Report: habrahabr.ru

Redirected to:
https://habr.com/en/feed/
Site favicon
Submitted: Sep 26, 2026, 4:35:53 PMCompleted: Sep 26, 2026, 4:37:09 PMpubliccompleted

This website contacted 146 IPs in 9 countries across 112 domains to perform 976 HTTP transactions. The main domain is habr.com and was registered 12 years ago.

Submitted URL: https://habrahabr.ru

Effective URL:

https://habr.com/en/feed/
Redirected

The Cisco Umbrella rank of the primary domain is #358,170 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Habr is a well-known tech community; the habrahabr.ru -> habr.com redirect is a legitimate rebrand. No credential/payment forms, no malware, no impersonation, no threat-intel hits.

Safety Factors (5)
Redirect terminates on the brand's own established domain (habr.com), confirming ownership rather than impersonation
Content is a technology community feed with articles, ratings, and discussion — no credential or payment collection
The only form is an on-site feed settings filter with checkboxes and radio buttons
No Indicators of Compromise, JavaScript malware, or known malicious kit detected
Only network IDS alerts are informational (ET INFO ZeroSSL certificate observation), not phishing or malware signatures
Domain age information unavailable

Details

Page Title

Publications / My feed / Habr

Scan Type

public

Domain Name Analysis

The domain 'habrahabr.ru' uses the Russian country-code top-level domain (.ru) without a subdomain. Its registrable label 'habrahabr' stretches across 9 characters holding 3 vowels versus six consonants. It segments into 3 words: habra, ha, br. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://habrahabr.ru

Page Load Overview

15.50s
Total Load Time
22.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:24,106 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
37%
forum
35%
social_media
25%
corporate
25%

Detected Features

Articles
Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
106178.248.237.68Russia
AS51115HLL LLC
6178.248.233.33Russia
AS51115HLL LLC
695.47.173.35Tallinn, Harjumaa, Estonia
AS204671Habr Europe OU
6142.250.154.95Google · CDNUnited States
AS15169Google LLC
6104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
677.88.55.88Yandex · CLOUDRussia
AS13238YANDEX LLC
6151.236.81.32Moscow, Moscow, Russia
AS57363CDNvideo LLC
6158.160.39.250Moscow, Moscow, Russia
AS200350Yandex.Cloud LLC
6142.251.14.97Google · CDNUnited States
AS15169Google LLC
6151.236.71.248Germany
AS204720Global Cloud Network LLC
976146--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F147432A4851B3B432380C2E9B97765F2F2AA0DC7EE181468EF436C5FFADB17959045

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Fx1s/pNGS6FNCbqmAmN71QgN7+9o5Bqg0cl5c:Fs/pNGSasbqmAmN71Qg9+9qBqVcbc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:195338:QEQAiPEAEymAybQBlJOCUAGEA5EABLhIABAA4wRWIE5QEDJAgUNjNiQUQgRDkSACIEQy0LZIi4HMEBDiASZ2ApGpIagnBCEa

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:7f7f7f070f001f00
Perceptual Hash:80c0c01f373fc1ff
Difference Hash:808080ecece0a1c9
Wavelet Hash:7f7f7f0707001f00
Color Hash:#7c931f

Other Hashes

Crop Resistant:808080ecece0a1c9

Scan History

Scan history not available

Unable to load historical scan data