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Security Scan Report: sokaktahaber.com

Redirected to:
https://sokaktahaber.com/haber/fernando-muslera-kariyerimle-gurur-duyu...
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Submitted: Sep 13, 2026, 10:21:46 PMCompleted: Sep 13, 2026, 10:22:08 PMpubliccompleted

Summary

This website contacted 8 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is sokaktahaber.com and was registered 29 years ago.

Submitted URL: http://sokaktahaber.com/haber/fernando-muslera-kariyerimle-gurur-duyuyorum

Effective URL: https://sokaktahaber.com/haber/fernando-muslera-kariyerimle-gurur-duyuyorumRedirected

AI Security Verdict

Moderate Risk

Confidence: 60%

5
Risk Score

Brand-new Turkish news site with no reputation and standard same-origin login/registration forms. No impersonation, no IoC, malware or exfiltration signals — but 4-day-old domain warrants caution.

Risk Factors
Very newly registered domain (4 days old) with no established reputation
Credential-collecting login and registration forms on a domain with no history or rankings
Unsigned/auto-generated news content with inconsistent and future-dated timestamps ('Super Admin' byline, 2026/2028 dates)
Safety Factors
Forms are same-origin to sokaktahaber.com — no cross-origin credential submission
No brand impersonation: article content reports on Galatasaray/Fernando Muslera rather than claiming to be them
No Indicators of Compromise, JavaScript malware patterns, native YARA hits, or network IDS alerts
Forms include CSRF _token fields and reCAPTCHA, consistent with a standard CMS login
No payment fields and no disguised password fields detected
Domain age information unavailable

Details

Page Title

Fernando Muslera: Kariyerimle gurur duyuyorum - SOKAKTA

Scan Type

public

Language

🇹🇷

Turkish

(80% confidence)

Category

government public service

(73%)

Domain Information

You're looking at domain 'sokaktahaber.com' on the commercial generic top-level domain (.com) and has no subdomain. The core label 'sokaktahaber' covers 12 characters containing 5 vowels alongside 7 consonants. Segmentation suggests 3 words: sokak, ta, haber. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sokaktahaber.com/haber/fernando-muslera-kariyerimle-gurur-duyuyorum

Page Load Overview

2.50s
Total Load Time
60
HTTP Requests
6
Domains
3.7 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:10,029 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service73% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
73%
adult content
71%
news media journalism
68%
corporate business
64%
entertainment media
64%

Detected Features

Login Form
Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.251.155.119Google · CDNUnited States
AS15169Google LLC
7185.40.85.51Turkey
AS211859Ozkula Internet Hizmetleri Tic. LTD. STI.
7142.251.150.119Google · CDNUnited States
AS15169Google LLC
7142.251.153.119Google · CDNUnited States
AS15169Google LLC
7142.251.110.113Google · CDNUnited States
AS15169Google LLC
7142.251.151.119Google · CDNUnited States
AS15169Google LLC
7192.178.183.94Google · CDNUnited States
AS15169Google LLC
7142.251.157.119Google · CDNUnited States
AS15169Google LLC
608--

Page Statistics

60
Requests
6
Unique Domains
3.8 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F733242694F5202B0793D2C58671BB1EFE969417CB1BA54A72EC8B8D9FD2DD3C803219

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:YbSrWPZMfzUfFYDE4nJ/jvKfw4oN40lucN1QmtKOY:wMfzUdCJ/jywx3lV3dKOY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:51972:A4IIQAQJAgBIAQeBSESBQN51gQVCiaADqAGnPCxSGcDWEAQIJcw5qIQBIBnTEomJQAAYlfLSNAIEwIAIA4YU2YIMQFGIAou+

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:00ffffc7c3c3c3ff
Perceptual Hash:b4434b3649374f39
Difference Hash:d90e361f0f2f2e03
Wavelet Hash:00bfc7c7818383fb
Color Hash:#1f5d93

Other Hashes

Crop Resistant:d90e361f0f2f2e03,c4c533d8d8d7d121,20584ec1e4e3cdcf

Scan History

Scan history not available

Unable to load historical scan data