Security Scan Report: teimg.com

Redirected to:
https://tebilisim.com/en/home/
Site favicon
Submitted: Sep 28, 2026, 2:00:23 AMCompleted: Sep 28, 2026, 2:01:46 AMpubliccompleted

This website contacted 23 IPs in 2 countries across 17 domains to perform 156 HTTP transactions. The main domain is tebilisim.com and was registered 22 years ago.

Submitted URL: https://teimg.com

Effective URL:

https://tebilisim.com/en/home/
Redirected

The Cisco Umbrella rank of the primary domain is #253,688 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Legitimate Turkish news-CMS vendor site (TE Bilişim / Nova) reached via its own domain redirect. Self-branded, no credential or payment forms, no Indicators of Compromise, YARA or phishing IDS hits; only informational network alerts.

Safety Factors (4)
Self-branded site: displayed brand matches the destination domain (tebilisim.com)
No credential, login, or payment collection anywhere on the page
Legitimate business footprint: physical address, phone number (+90 212 322 74 90), blog, references and support sections
No threat-intelligence, YARA, IDS-phishing, or Safe Browsing hits against the page or its resources
Domain age information unavailable

Details

Page Title

TE Bilisim News Software News System - TE Bilişim

Scan Type

public

Domain Name Analysis

You're looking at domain 'teimg.com' on the commercial generic top-level domain (.com). Count 5 characters in 'teimg' containing 2 vowels alongside three consonants. Word splitting yields 2 words: te, img. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://teimg.com

Page Load Overview

19.27s
Total Load Time
5.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:8,788 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism85% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
85%
technology software
84%
government public service
72%
corporate business
67%
social media network
67%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6142.251.20.95Google · CDNUnited States
AS15169Google LLC
6142.251.110.97Google · CDNUnited States
AS15169Google LLC
6104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6216.239.34.36Google · CDNUnited States
AS15169Google LLC
6142.251.127.154Google · CDNUnited States
AS15169Google LLC
6142.251.127.94Google · CDNUnited States
AS15169Google LLC
15623--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5340A227556183B812B4ACB709B770EA0AAD5B7D5025DE4F9BF006CCBE6CE17763318

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GgXQxWFKr5B6Xt2AKgsRHRH6acTr67vqkpugrsvJtXCGeaYaA83A7c2yAsBtSkCS:GgM6Xt2wsRHRH6acv67vqkpugrsvJ8Pa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:253139:sKAosrYI8DD4NwBIKEBwKgAgtBohwkHgOaAZEx8IAMCgGKAEMbCkGBSYmAgGYQLKADwoJEDSiWBBUWD9EGAgZGoIlgUQqLZY

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:bf0000000000ffff
Perceptual Hash:9303fe3c8cecc1c6
Difference Hash:7dd9d9dbddd82b00
Wavelet Hash:ff0d0d010100ffff
Color Hash:#40a6bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data