Security Scan Report: sokaktahaber.com

Redirected to:
https://sokaktahaber.com/haber/imdb-acikladi-2023-yilinin-en-popueler-...
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Submitted: Sep 12, 2026, 8:28:57 AMCompleted: Sep 12, 2026, 8:29:21 AMpubliccompleted

Summary

This website contacted 10 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is sokaktahaber.com and was registered 29 years ago.

Submitted URL: http://sokaktahaber.com/haber/imdb-acikladi-2023-yilinin-en-popueler-10-oyuncusu?content=1

Effective URL: https://sokaktahaber.com/haber/imdb-acikladi-2023-yilinin-en-popueler-10-oyuncusu?content=1Redirected

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

Newly created site with login/registration forms, unranked domain and no legitimate brand claim – high‑risk credential phishing.

Risk Factors
Newly registered domain
Credential collection forms on a brand‑neutral site
Unranked/low‑reputation domain
Safety Factors
No concrete malicious signal (no IoC / YARA / Safe-Browsing / IDS / credential form / brand impersonation) — elevated risk rested on domain age or reputation alone; clamped from 9 to 3
Domain age information unavailable

Details

Page Title

IMDB açıkladı: 2023 yılının en popüler 10 oyuncusu - SOKAKTA

Scan Type

public

Language

🇹🇷

Turkish

(80% confidence)

Category

entertainment media

(99%)

Domain Information

Within the commercial generic top-level domain (.com), 'sokaktahaber.com' is registered and has no subdomain. Count 12 characters in 'sokaktahaber' split between 5 vowels and 7 consonants. Segmentation suggests 3 words: sokak, ta, haber. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sokaktahaber.com/haber/imdb-acikladi-2023-yilinin-en-popueler-10-oyuncusu?content=1

Page Load Overview

2.70s
Total Load Time
60
HTTP Requests
5
Domains
4.0 MB
Total Size

Language Analysis

Primary Language

🇹🇷Turkish
Code: tr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:tr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:tr
Text Length:6,008 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media99% confidence
Type: webapp
Method: ml+structural

All Detected Categories

entertainment media
99%
adult content
72%
government public service
70%
healthcare medical
62%
news media journalism
48%

Detected Features

Login Form
Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6185.40.85.51Turkey
AS211859Ozkula Internet Hizmetleri Tic. LTD. STI.
6142.251.151.119Google · CDNUnited States
AS15169Google LLC
6142.251.156.119Google · CDNUnited States
AS15169Google LLC
6142.251.150.119Google · CDNUnited States
AS15169Google LLC
6142.251.127.94Google · CDNUnited States
AS15169Google LLC
6192.178.183.94Google · CDNUnited States
AS15169Google LLC
6142.251.153.119Google · CDNUnited States
AS15169Google LLC
6142.251.154.119Google · CDNUnited States
AS15169Google LLC
6142.251.127.100Google · CDNUnited States
AS15169Google LLC
6142.251.127.138Google · CDNUnited States
AS15169Google LLC
6010--

Page Statistics

60
Requests
5
Unique Domains
4.0 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14833FF6290F4243B0693D3C5C672BB1AFE96D117DB1B654A72AC8BCD9F92D93C80321D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:YbSrCRaRFRcRZRC8jMfzUfcODE4iJ/RlR9XtAyLZd8iiOY:kMfzUU1J/vt3n8iiOY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:51888:wWaKZBDVIBZCAAwACAQl0xDA0UGIVoBYgGBqVoJoMwyQACubwIwhSABgtgI+EgifgMECwEgqAoLBRMggqiE+yAAYgBTESCYg

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:00ffffffc3c7c3c3
Perceptual Hash:b44b43364933cf74
Difference Hash:d92636372f0f0f0e
Wavelet Hash:00ffc7df818383c3
Color Hash:#78633a

Scan History

Scan history not available

Unable to load historical scan data