Merge pull request #1095 from maxmind/dallas/add-cspell

Add cspell

Author: dhogan8

.precious.toml

@@ -58,3 +58,13 @@ tidy-flags = ["--fix"]
 path-args = "absolute-file"
 include = ["assets/scss/**"]
 ok-exit-codes = 0
+
+[commands.cspell-content]
+type="lint"
+include = ["*.md"]
+cmd = [
+  "npm",
+  "run",
+  "lint:cspell",
+]
+ok-exit-codes = 0

content/2015/06/how-to-use-geolocation-to-identify-higher-risk-transactions.md

@@ -67,9 +67,9 @@ back to them. This can include P.O. boxes, hotel addresses and freight
 forwarders. Certain cities, such as Houston, Seattle, Miami and Newark, are
 known freight forwarding hubs, and addresses in those cities may be higher risk.
 
-Keep in mind, a single datapoint is only one piece as you puzzle over the bigger
-picture. Best practices include using all of the data available to assess the
-risk for a specific transaction.
+Keep in mind, a single data point is only one piece as you puzzle over the
+bigger picture. Best practices include using all of the data available to assess
+the risk for a specific transaction.
 
 Given the usefulness of geolocation data provided by the IP address, it’s no
 surprise that savvy fraudsters take evasive measures to hide their location. How

content/2015/09/building-your-own-mmdb-database-for-fun-and-profit.md

@@ -181,7 +181,7 @@ addresses (/28) whereas Jane will only connect from one (/32).
 
 ### Step 3
 
-Open a filehandle and the write the database to disk.
+Open a file handle and the write the database to disk.
 
 ```perl
 open my $fh, '>:raw', 'my-vpn.mmdb';
@@ -475,7 +475,7 @@ my $tree = MaxMind::DB::Writer::Tree->new(
     map_key_type_callback => sub { $types{ $_[0] } },
 
     # let the writer handle merges of IP ranges. if we don't set this then the
-    # default behaviour is for the last network to clobber any overlapping
+    # default behavior is for the last network to clobber any overlapping
     # ranges.
     merge_record_collisions => 1,
 
@@ -750,10 +750,10 @@ If you're using the Vagrant VM, you'll find `GeoLite2-City-Blocks-IPv4.csv` and
 
 ### Insert Order, Merging and Overwriting
 
-It's important to understand `MaxMind::DB::Writer`'s configurable behaviour for
+It's important to understand `MaxMind::DB::Writer`'s configurable behavior for
 inserting ranges. Please see our documentation on
 [Insert Order, Merging and Overwriting](https://metacpan.org/pod/MaxMind::DB::Writer::Tree#Insert-Order-Merging-and-Overwriting)
-so that you can choose the correct behaviour for any overlapping IP ranges you
+so that you can choose the correct behavior for any overlapping IP ranges you
 may come across when writing your own database files.
 
 ## Taking This Further

content/2018/01/going-local-how-maxmind-helps-geoflis-customers-conversion-rates-soar.md

@@ -1,6 +1,6 @@
 ---
 title:
-  "Going Local: How MaxMind Helps GeoFli’s Customers’ Conversion Rates Soar"
+  "Going Local: How MaxMind Helps GeoFli's Customers’ Conversion Rates Soar"
 date: "2018-01-02"
 category:
   - "IP Geolocation and Network Data"
@@ -45,18 +45,18 @@ identify, segment, and target their visitors in order to serve them personalized
 content based on some identifiable attribute of the visitor - such as
 geographical location, browsing history, and demographic data.
 
-In GeoFli’s case, the company identifies visitors through the process of
+In GeoFli's case, the company identifies visitors through the process of
 [geotargeting](https://geofli.com/geotargeting-101/). This practice allows
 websites to serve specific content to visitors based on their geographic
 location - usually their country, state, or city via their IP address.
 
 GeoFli first reviews the IP address of each visitor. They then do a lookup of
 that IP address in the GeoIP2 City database in order to determine the visitor’s
 approximate location. “It’s about delivering the most important, useful content
-to them at the exact moment they are on a site,” said Taylor McDermott, GeoFli’s
+to them at the exact moment they are on a site,” said Taylor McDermott, GeoFli's
 online strategist.
 
-GeoFli’s user interface (UI) features a very simple
+GeoFli's user interface (UI) features a very simple
 [point-and-click layout](https://geofli.com/support/getting-started). Customers
 select a geographical radius they would like to target through one of three
 options: Location Library (pre-defined regions), Radius Targeting (a numerical

content/2019/03/maxmind-and-dosh-to-speak-about-preventing-referral-program-abuse-at-mrc-vegas-2019.md

@@ -58,4 +58,4 @@ Send us an email at <mrc@maxmind.com> to schedule a meeting, or stop by booth
 [learn more about the minFraud service](https://www.maxmind.com/en/solutions/minfraud-services).
 We look forward to meeting you!
 
-![](/images/2019/03/brandedimages.php_-1024x205.jpeg)
+![](/images/2019/03/branded_images.php_-1024x205.jpeg)

content/2020/02/the-easy-way-to-use-maxmind-geoip-with-redshift.md

@@ -52,7 +52,7 @@ Right away we notice a problem — this data has something that looks like an IP
 but has a slash and an extra number at the end. This is an _IP network_
 represented in
 [_CIDR_](https://en.wikipedia.org/wiki/Classless_Inter-Domain_Routing) notation
-and itrepresents a range of IPs. It’s composed of an IP, a slash, and a number
+and it represents a range of IPs. It’s composed of an IP, a slash, and a number
 after the slash called a _subnet mask_. It’s like how you might describe a
 street of physical addresses in New York City by saying “The 500 block of west
 23rd street.”
@@ -133,6 +133,9 @@ IGNOREHEADER AS 1
 
 Now let’s write a function to convert IPs to really big numbers. Here’s a simple
 one written in SQL. We will call it `inet_aton` after the Linux utility that
+
+<!-- cspell:ignore ddress -->
+
 does the same thing. “inet” stands for “internet” and “aton” means “**A**ddress
 **TO** **N**umber”. Linux folks like to keep things short and sweet.
 

content/2021/07/how-accurate-is-ip-geolocation.md

@@ -61,7 +61,7 @@ Our data does a good job of estimating the approximate location of IP addresses
 (see the
 [accuracy for our GeoIP2 City database](https://www.maxmind.com/en/geoip2-city-accuracy-comparison?country=&resolution=100&cellular=excluding)).
 But if you use any of our geolocation or fraud prevention products you’ve
-robably already seen the caveat we post throughout our documentation, that our
+probably already seen the caveat we post throughout our documentation, that our
 data is never precise enough to locate the street address of a particular
 household. If you start with the premise of finding an end-user’s location, you
 might wonder why we repeat this disclaimer so often. Will we be able to improve
@@ -117,7 +117,7 @@ an IP address from your web hosting server into the domain name server where you
 purchased your domain. In this case, you may host more than one website on a
 single server, providing the same IP address for multiple domain names.
 
-![small webhosts](/images/2021/07/Small-Webhosts.png)
+![small web hosts](/images/2021/07/Small-Web-Hosts.png)
 
 _A web server may host several very different sites or apps behind a single IP
 address._

content/2022/06/geoip-legacy-databases-have-been-retired.md

@@ -37,7 +37,7 @@ By using our modern GeoIP2
 format, you can quickly query any IPv4 or IPv6 address and get access to our up
 to date IP geolocation and intelligence data.
 
-![Farwell to GeoIP Legacy](/images/2022/06/end-of-an-era.png)
+![Farewell to GeoIP Legacy](/images/2022/06/end-of-an-era.png)
 
 ## Transitioning to GeoIP2
 

content/2025/02/how-to-enhance-your-fraud-strategy-with-minFraud-risk-score-reasons.md

@@ -32,7 +32,7 @@ that the data and the methodology behind most fraud models are both often
 concealed or poorly explained. This can cause serious issues when—not if—new
 fraud risk patterns emerge and performance drops.
 
-This realization, namely that most current fraud models are a blackbox, is what
+This realization, namely that most current fraud models are a black box, is what
 inspired the MaxMind minFraud team to introduce risk score reasons.
 
 ## What are risk score reasons?
@@ -60,8 +60,8 @@ Risk score reasons are a set of data that help fraud and risk professionals
 understand risk patterns for individual transactions and for their overall
 transaction stream, both at a point in time and over time. The detailed
 information provided by risk score reasons intends to transform the traditional
-blackbox process into a transparent one, giving fraud analysts insights into our
-fraud signals at a granular level.
+black box process into a transparent one, giving fraud analysts insights into
+our fraud signals at a granular level.
 
 Fraud patterns change constantly. Risk score reasons allow customers to identify
 which patterns are driving the scores and fine-tune specific aspects of their
@@ -78,7 +78,7 @@ fraud. In the real-life example below, a MaxMind minFraud customer was able to
 isolate a pair of attacks based on the risk score reasons returned for
 individual transactions within that time frame.
 
-![case exammple #1](/images/2025/02/case-example-1.webp)
+![case example #1](/images/2025/02/case-example-1.webp)
 
 In this image above, the yellow line is the average risk related to email
 domains, and the spike indicates fraud attempted with fake email domains. The
@@ -138,7 +138,7 @@ In the real-life example below, another minFraud customer was able to pinpoint
 an increase in IP activity risk (purple spike) to a bot attack involving
 anonymous IPs (yellow) which led to an increase in payment card declines.
 
-![case exammple #2](/images/2025/02/case-example-2.webp)
+![case example #2](/images/2025/02/case-example-2.webp)
 
 ## Information sharing and its role in fraud detection
 

cspell.json

@@ -0,0 +1,14 @@
+{
+    "$schema": "https://raw.githubusercontent.com/streetsidesoftware/cspell/main/cspell.schema.json",
+    "version": "0.2",
+    "allowCompoundWords": true,
+    "dictionaryDefinitions": [
+        {
+            "name": "stopwords",
+            "path": "./stopwords.txt",
+            "addWords": true
+        }
+    ],
+    "dictionaries": ["stopwords"],
+    "ignorePaths": ["node_modules", "/stopwords.txt"]
+}