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Solomon – a personal website about learning web development and sharing articles.

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binaryoptiontrading.com – Invest Today. Prosper Tomorrow.

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Truth-And-Light-dgprv – Testifying to and expounding on the Standard Works and doctrines of The Church of Jesus Christ of Latter-day Saints

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One day, in a certain neighborhood, there was a heated discussion about naming an unnamed road.

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If youre new to OpenStreetMap (OSM), writing Overpass queries from scratch can seem intimidating. Fortunately, Overpass Turbo provides a built-in Wizard that generates queries automatically based on simple search phrases.

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Pola Keyword SEO Spam Judi Online di Indonesia

Hasil pengamatan menunjukkan bahwa changeset SEO spam judi online di OpenStreetMap memiliki pola yang relatif konsisten. Brand umumnya menggunakan akhiran “88”, sedangkan komentar changeset berisi kumpulan kata kunci promosi yang diulang untuk kepentingan optimasi mesin pencari (SEO), bukan untuk mendeskripsikan perubahan data OpenStreetMap.

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Observations indicate that SEO spam changesets related to online gambling in OpenStreetMap follow a relatively consistent pattern. Brand names commonly use the “88” suffix, while changeset comments consist of collections of promotional keywords repeated for search engine optimization (SEO) purposes rather than describing the actual OpenStreetMap data edits.

Keywords are ordered by descending frequency

Very High / Dominant Frequency
–88 (brand suffix)
slot
gacor
judi
casino
terpercaya
terbaik

High Frequency
login
daftar
link alternatif
RTP
maxwin
jackpot
bonus
deposit
withdraw
mahjong
zeus
Pragmatic Play
PG Soft
togel
toto
–77 (suffix)
–99 (suffix)
–138 (suffix)
–168 (suffix)
–188 (suffix)
–303 (suffix)
–777 (suffix)

Moderate Frequency
pola
cashback
free spin
scatter
wild
multiplier
cuan
menang
sabung ayam
SV388
poker
domino
QQ
Habanero
Joker
Spadegaming
Microgaming
Playtech

Unique Study: Trojan Horse Spam

Pada teknik ini, komentar changeset tampak sepenuhnya normal dan tidak mengandung kata kunci yang berkaitan dengan perjudian. Sebaliknya, konten spam disembunyikan di dalam tag objek OSM, sehingga deteksi yang hanya mengandalkan kata kunci pada komentar changeset menjadi kurang efektif.

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In this technique, the changeset comment appears completely legitimate and contains no gambling-related keywords. Instead, the spam is concealed within the OSM object’s tags, making keyword-based changeset detection less effective.

Contoh / Example:

Changeset Comment	Created a restaurant
Tags	addr:city=Medan, addr:housename=TOKO CUAN****88, addr:housenumber=28, addr:postcode=20112, addr:province=Sumatera Utara, addr:street=Jalan Candi Borobudur, amenity=restaurant, building=yes, contact:instagram=https://heylink.me/cuan****88top/, cuisine=coffee_shop, diet:halal=yes, name=TOKO CUAN****88, opening_hours=sunrise-sunset, website=https://cuan****88.top

Modus Operandi Analysis

• 
  Komentar Changeset Bersifat Umum: Komentar changeset menggunakan deskripsi yang sederhana dan umum (misalnya, “Added cafe”), sehingga edit tersebut tampak seperti perubahan rutin tanpa memunculkan indikasi yang berkaitan dengan perjudian.
  
• 
  POI Tampak Sah: Objek OSM diisi dengan tag-tag yang lazim digunakan pada tempat usaha, seperti alamat lengkap, amenity, dan jam operasional, sehingga menyerupai bisnis lokal yang valid.
  
• 
  Brand Disisipkan pada Tag Objek: Alih-alih menempatkan konten promosi pada komentar changeset, pelaku menyisipkan nama brand judi ke dalam tag seperti name dan addr:housename, serta menambahkan tautan eksternal melalui website dan contact:instagram.
  
• 
  Sulit Dideteksi: Karena komentar changeset tidak mengandung kata kunci yang mencurigakan, mekanisme deteksi yang hanya mengandalkan analisis komentar kemungkinan tidak akan menandai edit tersebut. Indikasi spam baru terlihat setelah dilakukan pemeriksaan terhadap tag objek dan tautan eksternal yang terkait dengan POI.

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• 
  Generic Changeset Comment: The changeset comment uses a simple, ordinary description (e.g., “Added cafe”), making the edit appear routine and avoiding any obvious gambling-related terms.
  
• 
  Legitimate-looking POI: The object is populated with common business tags, including a complete address, amenity, and opening hours, so it blends in with genuine local businesses.
  
• 
  Brand Embedded in Object Tags: Instead of placing promotional content in the changeset comment, the spammer inserts the gambling brand into tags such as name and addr:housename, while adding external links through website and contact:instagram.
  
• 
  Difficult to Detect: With no suspicious keywords in the changeset comment, comment-based filters are unlikely to flag the edit. The spam only becomes apparent after examining the object tags and the external links associated with the POI.

I’ve been mapping out every building I can that is visible from satellite imagery and Bing Streetside throughout Mount Pleasant. I’m currently focused on finishing up the neighborhoods and businesses that are on Chuck Dawley and Coleman Blvd, and I have almost finished filling in that large area made up from those major arteries.

I really wish I could use Charleston County’s GIS viewer for addresses and building shapes (especially for newer buildings, since people keep moving here ):< ), but of course the county puts all of their GIS data under copyright. That would be fine, but I tried contacting the GIS office to see if I could get permission to use their data, specifically their address data, but they never even responded. There are a few other ways that I could “request” address data but I don’t know if those requests would even be useful for mapping purposes. Best thing to do is to go to these neighborhoods myself and mark down any addresses that I couldn’t have gathered from Streetside. I’m not sure how I will do that without looking like a creep stopping at people’s houses and marking their address down. Guess I’ll have to grow a pair and do it anyway!

I do wish Bing Streetside had better image quality. The best images are from 8 years ago, and some houses have been demolished and replaced in that time according to Esri imagery (the most up to date imagery here, probably around only a year off). There are some spots with 2020 imagery but it just looks so awful. Even with the higher quality 2014 imagery you can barely make out small details like addresses at all. It really makes you appreciate what Google Street View provides, but we can’t use that at all. No wonder Bing Streetside completely shut down.

I enjoy seeing others update the Charleston area with me. There’s a mapper named “mas” who has been doing really good work with certain areas like I’On and other places scattered around town. I bet they are actually going to these places and writing stuff down as their stuff is more detailed than mine, while I’m merely going off of satellite.

At some point I’ll go out and do some address scavenging myself. Guess I’ll find a place to park and take a nice walk throughout some of these neighborhoods. Wish gas prices weren’t as expensive as they are… If anyone has any tips for doing something like this please let me know!

Note that this is an update of a previous diary entry. This version uses updated Overpass software from a fork.

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عشاق القيصر كاظم الساهر – كاظمي الهوى

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Hi! For the last few years Ive been building a service that exports OSM data into formats that live outside the GIS world: CorelDRAW (CDR), AutoCAD (DWG/DXF), SVG for illustrators, STL for 3D printing.

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The last 3 letters of the spring

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The Other Side of Life | Independent Experimental Music and Esoterica in Louisville, Kentucky

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