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Security Scan Report: mobi.sendsay.ru

Submitted: Dec 30, 2025, 3:19:47 PMCompleted: Dec 30, 2025, 3:21:30 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is mobi.sendsay.ru and was registered NaN years ago.

Submitted URL: https://mobi.sendsay.ru

The Cisco Umbrella rank of the primary domain is #124,705 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain with long registration history
No suspicious redirects or external links
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

403 Forbidden

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

documentation technical

(52%)

Domain Information

Within the Russian country-code top-level domain (.ru), 'mobi.sendsay.ru' is registered and includes subdomain 'mobi'. The second-level label 'sendsay' is 7 characters long containing two vowels alongside 5 consonants. Tokenizing the label suggests 2 words: send, say. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mobi.sendsay.ru

Page Load Overview

2.72s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:189 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical52% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
52%
adult content
38%
technology software
34%
phishing scam
30%
healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.76.234.243Russia
AS201193Internet Projects JSC
1185.76.232.243Russia
AS201193Internet Projects JSC
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176E07D5FD15F301B951343C035D21544E851232A37431DED3F48E8A38255D7D861369C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:hLn0+1Q9xwIgsozEr6VyF0dLexxdGzKQDxTEHcLgabzjsKtgsg93wzRtPD:hb0+12xBgsozR4F0MdgKgufCzjsKtgi7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:e15346091093a929a901a05a365572e0

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:0f1fffffffffffff
Perceptual Hash:8d0d0f070707e7e7
Difference Hash:f030000000000000
Wavelet Hash:00f0f0f0f0f0f0f0
Color Hash:#ac5357

Other Hashes

Crop Resistant:f030000000000000

Scan History

Scan history not available

Unable to load historical scan data