diff --git a/README.md b/README.md
index b9b6526..526607e 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
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@@ -12,9 +12,9 @@


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@@ -22,22 +22,22 @@
This repository holds data of all the user agents in the `user_agents.json` file, which can be used directly with any tool that can parse json format.
-download the repo to update the user-agent data by running `ua-fuzz-lib.py` and edit the file per the fields you would like to add or remove.
+download the repo to update the User agent data by running `ua-fuzz-lib.py` and edit the file per the fields you would like to add or remove.
-This dictionary of useragents was built to provide as input to [Proxy_Bypass](https://github.com/Add3r/Proxy_Bypass) vulnerability research tool to use the `user-agents.json` file as input for fuzzing proxies.
+This dictionary of user agentswas built to provide as input to [Proxy_Bypass](https://github.com/Add3r/Proxy_Bypass) vulnerability research tool to use the `User agents.json` file as input for fuzzing proxies.
-As a PoC have provided the `ua-stats.py` script which draw various statistics out of the `user-agents.json` file as input
+As a PoChave provided the `ua-stats.py` script which drawsvarious statistics out of the `User agents.json` file as input
## Overview
🎯 **Primary:**
- The User Agent Dict python script is designed to scrape from [useragentstring.com](https://www.useragentstring.com/pages/All/)
-- To use as Fuzzing library of user-agents used for vulnerability research tools (.i.e) [Proxy_Bypass](https://github.com/Add3r/Proxy_Bypass)
-- Organize the data into dictionaries, for faster access (mimicing hashmaps)
+- To use as Fuzzing library of user agents used for vulnerability research tools (.i.e) [Proxy_Bypass](https://github.com/Add3r/Proxy_Bypass)
+- Organize the data into dictionaries, for faster access (mimickinghashmaps)
🚀 **Secondary:**
- Identify user agent groups based on specified conditions.
- - High used vs low used user-agents to choose for fuzzing
+ - High used vs low used User agents to choose for fuzzing
- Display statistics about general and mobile user agents.
- Provide options for data visualization using pie charts, word clouds, and more.
@@ -72,7 +72,7 @@ As a PoC have provided the `ua-stats.py` script which draw various statistics ou
"title": "ABrowse 0.6",
"group": "ABrowse",
"id": "ua-1",
- "user-agent": "Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)",
+ "User agent": "Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)",
"Host": "General"
},
.
@@ -85,7 +85,7 @@ As a PoC have provided the `ua-stats.py` script which draw various statistics ou
"title": "WDG_Validator 1.6.2",
"group": "WDG_Validator",
"id": "ua-11256",
- "user-agent": "WDG_Validator/1.6.2",
+ "User agent": "WDG_Validator/1.6.2",
"Host": "Mobile"
}
]
@@ -98,14 +98,14 @@ As a PoC have provided the `ua-stats.py` script which draw various statistics ou
[+] Mobile User Agents: 629
[+] Total User Agents: 11256
[+] JSON file updated successfully.
- [!] No new user-agents found.
+ [!] No new User agents found.
## Statistics
As a PoC, have added a basic statistics deriving script `ua-stats.py` that uses the `user_agents.json` as input file.
-`ua-stats.py` script will prompt you to interactively choose from various options, such as viewing pie charts and generating word clouds from the `user_agents.json` data.
+`ua-stats.py` script will prompt you to interactively choose from various options, such as viewing pie chartsand generating word clouds from the `user_agents.json` data.
## How to Use `ua-stats.py`
@@ -132,7 +132,7 @@ As a PoC, have added a basic statistics deriving script `ua-stats.py` that uses
Enter your choice (1/2/3/4/5/6/7/8):
```
-This is only a PoC to use of using the json file data, there could be more analysis you could think of with this data. 😀
+This is only a PoCto use of using the json file data, there could be more analysis you could think of with this data. 😀
**Few Samples Below**
@@ -140,29 +140,29 @@ This is only a PoC to use of using the json file data, there could be more analy
Highest Mobile User Agents
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Mobile User Agents < 500
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**General**
Highest General User Agents
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General User Agents > 500
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General User Agents < 500
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## Note