Security Scan Report: sokaktahaber.com

Redirected to:
https://sokaktahaber.com/haber/iphone-larda-pil-sagligi-nasil-artirili...
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Submitted: Sep 15, 2026, 4:01:57 PMCompleted: Sep 15, 2026, 4:02:18 PMpubliccompleted

This website contacted 8 IPs in 2 countries across 5 domains to perform 37 HTTP transactions. The main domain is sokaktahaber.com and was registered 29 years ago.

Submitted URL: http://sokaktahaber.com/haber/iphone-larda-pil-sagligi-nasil-artirilir-iste-5-etkili-yoentem

Effective URL:

https://sokaktahaber.com/haber/iphone-larda-pil-sagligi-nasil-artirili...
Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

5
Risk Score

Newly registered (6-day) Turkish news portal with its own branding and standard same-origin member login/newsletter forms; no impersonation, malware, or Indicators of Compromise. Unconfigured template and 404 warrant caution.

Risk Factors (4)
Domain is only 6 days old
Domain is not ranked in Cisco Umbrella top 1M
Login/registration/password forms present on a brand-new, unranked domain
Templated CMS placeholder metadata and a 404 landing page indicate an unconfigured/immature site
Safety Factors (5)
Self-branding: title/meta match the domain, no third-party brand impersonation
All forms submit same-origin to sokaktahaber.com and include CSRF tokens plus reCAPTCHA
No Indicators of Compromise or threat-intel matches against the page or its resources
No JavaScript malware/YARA patterns, no IDS/Suricata alerts, no cross-origin network targets
Content (city news, sports school headlines, newsletter) reads like a genuine regional news portal
Domain age information unavailable

Details

Page Title

SOKAKTA HABER

Scan Type

public

Domain Name Analysis

The domain name 'sokaktahaber.com' uses the commercial generic top-level domain (.com) with no subdomain. The second-level label 'sokaktahaber' is 12 characters long containing five vowels alongside 7 consonants. Splitting it apart reveals three words: sokak, ta, haber. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sokaktahaber.com/haber/iphone-larda-pil-sagligi-nasil-artirilir-iste-5-etkili-yoentem

Page Load Overview

2.10s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:tr
Text Length:1,754 chars
Detector Agreement:75%

Website Classification

Primary Category

news media journalism94% confidence
Type: webapp
Method: ml+structural

All Detected Categories

news media journalism
94%
healthcare medical
93%
blog personal website
83%
government public service
79%
technology software
78%

Detected Features

Login Form
Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.251.152.119Google · CDNUnited States
AS15169Google LLC
4185.40.85.51Turkey
AS211859Ozkula Internet Hizmetleri Tic. LTD. STI.
4142.251.13.141Google · CDNUnited States
AS15169Google LLC
4142.251.127.94Google · CDNUnited States
AS15169Google LLC
4142.251.155.119Google · CDNUnited States
AS15169Google LLC
4192.178.183.94Google · CDNUnited States
AS15169Google LLC
4142.251.150.119Google · CDNUnited States
AS15169Google LLC
4142.251.156.119Google · CDNUnited States
AS15169Google LLC
378--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T113E29E2794F4202B0687D2C58B71BB2EBD97910BDB1B794A71ED4B8D9F92D938D0320D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:YbSrrv/77vhdO5z5MfzUNZMPSriTs1Ujl59efcNljQN:YbSrLXeMfzUNGPSFayAli

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31489:IQDQegA0MsDDQo6gchSPQBkkBHAjmAwYUSTLUEYECMgMJkLZBgCAiAQPAwKIJhYp8ITlpAIAKMICoNQAalaAwo2eweUIDQmw

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:00ffffffffff0000
Perceptual Hash:c3f542617363dd41
Difference Hash:d912322a8226d9c9
Wavelet Hash:00ffffffff000000
Color Hash:#7995d2

Scan History

Scan history not available

Unable to load historical scan data