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|
%global _empty_manifest_terminate_build 0
Name: python-ghdorker
Version: 0.3.2
Release: 1
Summary: A better GitHub Dorking Utility
License: Apache Software License
URL: https://github.com/dtaivpp/gh-dorker
Source0: https://mirrors.aliyun.com/pypi/web/packages/88/36/0263e0038e5df08cc9d9f4e0ce585f85a3d79c7466157378ffb5afc50c59/ghdorker-0.3.2.tar.gz
BuildArch: noarch
Requires: python3-ghapi
Requires: python3-dotenv
Requires: python3-wheel
%description
# GitHub Dorker
GH Dorker is picking up where several GitHub dorking tools leave off. Many of these dorkers grow stale and old becuase the code is very tangled and intertwined. GH-Dorker is building on the work of several other dorkers and creating a more modular approach.
## Usage
1. Install with pip `pip install ghdorker`
2. (Optional) you can either export an environment variable named "GH_TOKEN" or include it in a local .env file to ensure you can make the most requests. See ["Creating a personal access token"](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token) for more information on how to do so.
```
usage: ghdorker [-h] [-v] [-s {repo,user,org}] [-d DORKS] [--debug] [-o OUTPUT_FILENAME] [--options INPUT_OPTION [INPUT_OPTION ...]] search
Search github for github dorks
positional arguments:
search The repo, username, or organization you would like to search
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
-s {repo,user,org}, --scope {repo,user,org}
The type of GitHub object you would like to search
-d DORKS, --dorks DORKS
Github dorks file. Eg: dorks.txt/.yaml
--debug Set this if you would like to see verbose logging.
-o OUTPUT_FILENAME, --outputFile OUTPUT_FILENAME
File to write results to. This overwrites the file provided! Accepts .json or .csv as output file types.
--options INPUT_OPTION [INPUT_OPTION ...]
YAML Options to target for dorking for example: all.cloud.aws
Use responsibly, Enjoy pentesting
```
Here is a simple example:
```
# The source is a repo and it is running against the gh_dorks_test.txt file
ghdorker -s repo -d samples/dorks.txt dtaivpp/NewsTicker
```
Additionally you can create a yaml config file like so for using only specific dorks on repos.
```yaml
all:
identity:
- filename:.dockercfg auth
- filename:id_rsa or filename:id_dsa
- filename:.npmrc _auth
- datafilename:.dockercfg auth
- dataextension:pem private
- extension:ppk private
cloud:
aws:
- rds.amazonaws.com password
- filename:.bash_profile aws
google:
- extension:json googleusercontent client_secret
```
This would run all the dorks that fall under the cloud section of the YAML.
```
ghdorker -s repo dtaivpp/NewsTicker -d samples/dorks.yaml --options all.cloud
```
This would run all the dorks that fall under the aws and the identity sections. It's okay to duplicate entries under different sections as on the backend it is checking each entry for uniqueness.
```
ghdorker -s repo dtaivpp/NewsTicker -d samples/dorks.yaml --options all.cloud.aws all.identiy
```
And finally here is an example of how you could output the results to either a json or csv file.
```
ghdorker -s user dtaivpp -d samples/dorks.yaml --options all.cloud.aws all.test -o output.json
```
This is always output to the console:
```
2021-11-18 06:47:57,847 - dork: rds.amazonaws.com password user:dtaivpp, repository: dtaivpp/gh-dorker, path: samples/dorks.yaml, score: 1.0
2021-11-18 06:47:57,848 - dork: rds.amazonaws.com password user:dtaivpp, repository: dtaivpp/gh-dorker, path: README.md, score: 1.0
2021-11-18 06:48:05,171 - dork: extension:md user:dtaivpp, repository: dtaivpp/dtaivpp, path: README.md, score: 1.0
2021-11-18 06:48:05,172 - dork: extension:md user:dtaivpp, repository: dtaivpp/gh-dorker, path: CONTRIBUTING.md, score: 1.0
2021-11-18 06:48:05,172 - dork: extension:md user:dtaivpp, repository: dtaivpp/gh-dorker, path: README.md, score: 1.0
2021-11-18 06:48:05,172 - dork: extension:md user:dtaivpp, repository: dtaivpp/OpenSearch-Utilization, path: README.md, score: 1.0
2021-11-18 06:48:05,172 - dork: extension:md user:dtaivpp, repository: dtaivpp/DevOps-Template, path: README.md, score: 1.0
```
And in addition here is what it looks like as JSON:
```json
[
{
"dork": "rds.amazonaws.com password user:dtaivpp",
"repository": "dtaivpp/gh-dorker",
"path": "samples/dorks.yaml",
"score": 1.0
},
{
"dork": "rds.amazonaws.com password user:dtaivpp",
"repository": "dtaivpp/gh-dorker",
"path": "README.md",
"score": 1.0
},
{
"dork": "extension:md user:dtaivpp",
"repository": "dtaivpp/dtaivpp",
"path": "README.md",
"score": 1.0
},
{
"dork": "extension:md user:dtaivpp",
"repository": "dtaivpp/gh-dorker",
"path": "CONTRIBUTING.md",
"score": 1.0
},
{
"dork": "extension:md user:dtaivpp",
"repository": "dtaivpp/gh-dorker",
"path": "README.md",
"score": 1.0
}
]
```
As an aside, rate limiting is already built into the codebase. It will not allow you to make more requests than allowable. GH-Dorker grabs your real rate limits live from GitHub so it will make the maximim amount of requests permittable in a given timeframe.
## Contributing
For how to contribute please see [CONTRIBUTING.md]("CONTRIBUTING.md").
## Credits
Reference points for creating GitDorker and compiling dorks lists
- [@techgaun](https://github.com/techgaun/github-dorks) - This was the primary repo I was looking to for inspiration when writing this dorker
- [@obheda12](https://github.com/obheda12/GitDorker) - You have one of the cleanest README's ive read in a while and if you couldn't tell has inspired much of this project's structure
%package -n python3-ghdorker
Summary: A better GitHub Dorking Utility
Provides: python-ghdorker
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-ghdorker
# GitHub Dorker
GH Dorker is picking up where several GitHub dorking tools leave off. Many of these dorkers grow stale and old becuase the code is very tangled and intertwined. GH-Dorker is building on the work of several other dorkers and creating a more modular approach.
## Usage
1. Install with pip `pip install ghdorker`
2. (Optional) you can either export an environment variable named "GH_TOKEN" or include it in a local .env file to ensure you can make the most requests. See ["Creating a personal access token"](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token) for more information on how to do so.
```
usage: ghdorker [-h] [-v] [-s {repo,user,org}] [-d DORKS] [--debug] [-o OUTPUT_FILENAME] [--options INPUT_OPTION [INPUT_OPTION ...]] search
Search github for github dorks
positional arguments:
search The repo, username, or organization you would like to search
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
-s {repo,user,org}, --scope {repo,user,org}
The type of GitHub object you would like to search
-d DORKS, --dorks DORKS
Github dorks file. Eg: dorks.txt/.yaml
--debug Set this if you would like to see verbose logging.
-o OUTPUT_FILENAME, --outputFile OUTPUT_FILENAME
File to write results to. This overwrites the file provided! Accepts .json or .csv as output file types.
--options INPUT_OPTION [INPUT_OPTION ...]
YAML Options to target for dorking for example: all.cloud.aws
Use responsibly, Enjoy pentesting
```
Here is a simple example:
```
# The source is a repo and it is running against the gh_dorks_test.txt file
ghdorker -s repo -d samples/dorks.txt dtaivpp/NewsTicker
```
Additionally you can create a yaml config file like so for using only specific dorks on repos.
```yaml
all:
identity:
- filename:.dockercfg auth
- filename:id_rsa or filename:id_dsa
- filename:.npmrc _auth
- datafilename:.dockercfg auth
- dataextension:pem private
- extension:ppk private
cloud:
aws:
- rds.amazonaws.com password
- filename:.bash_profile aws
google:
- extension:json googleusercontent client_secret
```
This would run all the dorks that fall under the cloud section of the YAML.
```
ghdorker -s repo dtaivpp/NewsTicker -d samples/dorks.yaml --options all.cloud
```
This would run all the dorks that fall under the aws and the identity sections. It's okay to duplicate entries under different sections as on the backend it is checking each entry for uniqueness.
```
ghdorker -s repo dtaivpp/NewsTicker -d samples/dorks.yaml --options all.cloud.aws all.identiy
```
And finally here is an example of how you could output the results to either a json or csv file.
```
ghdorker -s user dtaivpp -d samples/dorks.yaml --options all.cloud.aws all.test -o output.json
```
This is always output to the console:
```
2021-11-18 06:47:57,847 - dork: rds.amazonaws.com password user:dtaivpp, repository: dtaivpp/gh-dorker, path: samples/dorks.yaml, score: 1.0
2021-11-18 06:47:57,848 - dork: rds.amazonaws.com password user:dtaivpp, repository: dtaivpp/gh-dorker, path: README.md, score: 1.0
2021-11-18 06:48:05,171 - dork: extension:md user:dtaivpp, repository: dtaivpp/dtaivpp, path: README.md, score: 1.0
2021-11-18 06:48:05,172 - dork: extension:md user:dtaivpp, repository: dtaivpp/gh-dorker, path: CONTRIBUTING.md, score: 1.0
2021-11-18 06:48:05,172 - dork: extension:md user:dtaivpp, repository: dtaivpp/gh-dorker, path: README.md, score: 1.0
2021-11-18 06:48:05,172 - dork: extension:md user:dtaivpp, repository: dtaivpp/OpenSearch-Utilization, path: README.md, score: 1.0
2021-11-18 06:48:05,172 - dork: extension:md user:dtaivpp, repository: dtaivpp/DevOps-Template, path: README.md, score: 1.0
```
And in addition here is what it looks like as JSON:
```json
[
{
"dork": "rds.amazonaws.com password user:dtaivpp",
"repository": "dtaivpp/gh-dorker",
"path": "samples/dorks.yaml",
"score": 1.0
},
{
"dork": "rds.amazonaws.com password user:dtaivpp",
"repository": "dtaivpp/gh-dorker",
"path": "README.md",
"score": 1.0
},
{
"dork": "extension:md user:dtaivpp",
"repository": "dtaivpp/dtaivpp",
"path": "README.md",
"score": 1.0
},
{
"dork": "extension:md user:dtaivpp",
"repository": "dtaivpp/gh-dorker",
"path": "CONTRIBUTING.md",
"score": 1.0
},
{
"dork": "extension:md user:dtaivpp",
"repository": "dtaivpp/gh-dorker",
"path": "README.md",
"score": 1.0
}
]
```
As an aside, rate limiting is already built into the codebase. It will not allow you to make more requests than allowable. GH-Dorker grabs your real rate limits live from GitHub so it will make the maximim amount of requests permittable in a given timeframe.
## Contributing
For how to contribute please see [CONTRIBUTING.md]("CONTRIBUTING.md").
## Credits
Reference points for creating GitDorker and compiling dorks lists
- [@techgaun](https://github.com/techgaun/github-dorks) - This was the primary repo I was looking to for inspiration when writing this dorker
- [@obheda12](https://github.com/obheda12/GitDorker) - You have one of the cleanest README's ive read in a while and if you couldn't tell has inspired much of this project's structure
%package help
Summary: Development documents and examples for ghdorker
Provides: python3-ghdorker-doc
%description help
# GitHub Dorker
GH Dorker is picking up where several GitHub dorking tools leave off. Many of these dorkers grow stale and old becuase the code is very tangled and intertwined. GH-Dorker is building on the work of several other dorkers and creating a more modular approach.
## Usage
1. Install with pip `pip install ghdorker`
2. (Optional) you can either export an environment variable named "GH_TOKEN" or include it in a local .env file to ensure you can make the most requests. See ["Creating a personal access token"](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token) for more information on how to do so.
```
usage: ghdorker [-h] [-v] [-s {repo,user,org}] [-d DORKS] [--debug] [-o OUTPUT_FILENAME] [--options INPUT_OPTION [INPUT_OPTION ...]] search
Search github for github dorks
positional arguments:
search The repo, username, or organization you would like to search
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
-s {repo,user,org}, --scope {repo,user,org}
The type of GitHub object you would like to search
-d DORKS, --dorks DORKS
Github dorks file. Eg: dorks.txt/.yaml
--debug Set this if you would like to see verbose logging.
-o OUTPUT_FILENAME, --outputFile OUTPUT_FILENAME
File to write results to. This overwrites the file provided! Accepts .json or .csv as output file types.
--options INPUT_OPTION [INPUT_OPTION ...]
YAML Options to target for dorking for example: all.cloud.aws
Use responsibly, Enjoy pentesting
```
Here is a simple example:
```
# The source is a repo and it is running against the gh_dorks_test.txt file
ghdorker -s repo -d samples/dorks.txt dtaivpp/NewsTicker
```
Additionally you can create a yaml config file like so for using only specific dorks on repos.
```yaml
all:
identity:
- filename:.dockercfg auth
- filename:id_rsa or filename:id_dsa
- filename:.npmrc _auth
- datafilename:.dockercfg auth
- dataextension:pem private
- extension:ppk private
cloud:
aws:
- rds.amazonaws.com password
- filename:.bash_profile aws
google:
- extension:json googleusercontent client_secret
```
This would run all the dorks that fall under the cloud section of the YAML.
```
ghdorker -s repo dtaivpp/NewsTicker -d samples/dorks.yaml --options all.cloud
```
This would run all the dorks that fall under the aws and the identity sections. It's okay to duplicate entries under different sections as on the backend it is checking each entry for uniqueness.
```
ghdorker -s repo dtaivpp/NewsTicker -d samples/dorks.yaml --options all.cloud.aws all.identiy
```
And finally here is an example of how you could output the results to either a json or csv file.
```
ghdorker -s user dtaivpp -d samples/dorks.yaml --options all.cloud.aws all.test -o output.json
```
This is always output to the console:
```
2021-11-18 06:47:57,847 - dork: rds.amazonaws.com password user:dtaivpp, repository: dtaivpp/gh-dorker, path: samples/dorks.yaml, score: 1.0
2021-11-18 06:47:57,848 - dork: rds.amazonaws.com password user:dtaivpp, repository: dtaivpp/gh-dorker, path: README.md, score: 1.0
2021-11-18 06:48:05,171 - dork: extension:md user:dtaivpp, repository: dtaivpp/dtaivpp, path: README.md, score: 1.0
2021-11-18 06:48:05,172 - dork: extension:md user:dtaivpp, repository: dtaivpp/gh-dorker, path: CONTRIBUTING.md, score: 1.0
2021-11-18 06:48:05,172 - dork: extension:md user:dtaivpp, repository: dtaivpp/gh-dorker, path: README.md, score: 1.0
2021-11-18 06:48:05,172 - dork: extension:md user:dtaivpp, repository: dtaivpp/OpenSearch-Utilization, path: README.md, score: 1.0
2021-11-18 06:48:05,172 - dork: extension:md user:dtaivpp, repository: dtaivpp/DevOps-Template, path: README.md, score: 1.0
```
And in addition here is what it looks like as JSON:
```json
[
{
"dork": "rds.amazonaws.com password user:dtaivpp",
"repository": "dtaivpp/gh-dorker",
"path": "samples/dorks.yaml",
"score": 1.0
},
{
"dork": "rds.amazonaws.com password user:dtaivpp",
"repository": "dtaivpp/gh-dorker",
"path": "README.md",
"score": 1.0
},
{
"dork": "extension:md user:dtaivpp",
"repository": "dtaivpp/dtaivpp",
"path": "README.md",
"score": 1.0
},
{
"dork": "extension:md user:dtaivpp",
"repository": "dtaivpp/gh-dorker",
"path": "CONTRIBUTING.md",
"score": 1.0
},
{
"dork": "extension:md user:dtaivpp",
"repository": "dtaivpp/gh-dorker",
"path": "README.md",
"score": 1.0
}
]
```
As an aside, rate limiting is already built into the codebase. It will not allow you to make more requests than allowable. GH-Dorker grabs your real rate limits live from GitHub so it will make the maximim amount of requests permittable in a given timeframe.
## Contributing
For how to contribute please see [CONTRIBUTING.md]("CONTRIBUTING.md").
## Credits
Reference points for creating GitDorker and compiling dorks lists
- [@techgaun](https://github.com/techgaun/github-dorks) - This was the primary repo I was looking to for inspiration when writing this dorker
- [@obheda12](https://github.com/obheda12/GitDorker) - You have one of the cleanest README's ive read in a while and if you couldn't tell has inspired much of this project's structure
%prep
%autosetup -n ghdorker-0.3.2
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-ghdorker -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.2-1
- Package Spec generated
|