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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Geocaching.com site crawler. Provides tools for searching, fetching caches and geocoding.
Complete documentation can be found at Read the Docs <http://pycaching.readthedocs.org/>
_.
.. _features:
login to Geocaching.com
search caches
get cache and its details
get trackable details by tracking code
post log for a cache or a trackable
geocode given location
.. _installation:
Stable version - using pip:
.. code-block:: bash
pip install pycaching
Dev version - manually from GIT:
.. code-block:: bash
git clone https://github.com/tomasbedrich/pycaching.git
cd pycaching
pip install .
Pycaching has following requirements:
.. code::
Python>=3.5
requests>=2.8
beautifulsoup4>=4.9
geopy>=1.11
Pycaching tests have the following additional requirements:
.. code::
betamax >=0.8, <0.9
betamax-serializers >=0.2, <0.3
Simply call pycaching.login() <https://pycaching.readthedocs.io/en/latest/api.html#pycaching.geocaching.Geocaching.login>
__
method and it will do everything for you.
.. code-block:: python
import pycaching
geocaching = pycaching.login("user", "pass")
If you won't provide an username or password, pycaching will try to load .gc_credentials
file
from current directory or home folder. It will try to parse it as JSON and use the keys username
and password
from that file as login credentials.
.. code-block:: json
{ "username": "myusername", "password": "mypassword" }
You can also provide multiple username and password tuples in a file as login credentials.
The tuple to be used can be chosen by providing its username when calling pycaching.login()
,
e.g. pycaching.login("myusername2")
. The first username and password tuple specified will be
used as default if pycaching.login()
is called without providing a username.
.. code-block:: json
[ { "username": "myusername1", "password": "mypassword1" }, { "username": "myusername2", "password": "mypassword2" } ]
.. code-block:: python
import pycaching
geocaching = pycaching.login() # assume the .gc_credentials file is presented
In case you have a password manager in place featuring a command line interface
(e.g. GNU pass <https://www.passwordstore.org/>
__) you may specify a password retrieval command
using the password_cmd
key instead of password
.
.. code-block:: json
{ "username": "myusername", "password_cmd": "pass geocaching.com/myUsername" }
Note that the password
and password_cmd
keys are mutually exclusive.
.. code-block:: python
cache = geocaching.get_cache("GC1PAR2")
print(cache.name) # cache.load() is automatically called
print(cache.location) # stored in cache, printed immediately
This uses lazy loading, so the Cache <https://pycaching.readthedocs.io/en/latest/api.html#cache>
__
object is created immediately and the page is loaded when needed (accessing the name).
You can use a different method of loading cache details. It will be much faster, but it will load less details:
.. code-block:: python
cache = geocaching.get_cache("GC1PAR2")
cache.load_quick() # takes a small while
print(cache.name) # stored in cache, printed immediately
print(cache.location) # NOT stored in cache, will trigger full loading
You can also load a logbook for cache:
.. code-block:: python
for log in cache.load_logbook(limit=200):
print(log.visited, log.type, log.author, log.text)
Or its trackables:
.. code-block:: python
for trackable in cache.load_trackables(limit=5):
print(trackable.name)
.. code-block:: python
geocaching.post_log("GC1PAR2", "Found cache in the rain. Nice place, TFTC!")
It is also possible to call post_log
on Cache <https://pycaching.readthedocs.io/en/latest/api.html#cache>
__ object, but you would have to create
Log <https://pycaching.readthedocs.io/en/latest/api.html#log>
__ object manually and pass it to
this method.
.. code-block:: python
from pycaching import Point
from pycaching.cache import Type
point = Point(56.25263, 15.26738)
for cache in geocaching.search(point, limit=50):
if cache.type == Type.traditional:
print(cache.name)
Notice the limit
in the search function. It is because geocaching.search() <https://pycaching.readthedocs.io/en/latest/api.html#pycaching.geocaching.Geocaching.search>
__
returns a generator object, which would fetch the caches forever in case of a simple loop.
.. code-block:: python
point = geocaching.geocode("Prague")
for cache in geocaching.search(point, limit=10):
print(cache.name)
.. code-block:: python
from pycaching import Point, Rectangle
rect = Rectangle(Point(60.15, 24.95), Point(60.17, 25.00))
for cache in geocaching.search_rect(rect):
print(cache.name)
If you want to search in a larger area, you could use the limit
parameter as described above.
.. code-block:: python
trackable = geocaching.get_trackable("TB3ZGT2")
print(trackable.name, trackable.goal, trackable.description, trackable.location)
.. code-block:: python
from pycaching.log import Log, Type as LogType
import datetime
log = Log(type=LogType.discovered_it, text="Nice TB!", visited=datetime.date.today())
tracking_code = "ABCDEF"
trackable.post_log(log, tracking_code)
.. code-block:: python
from pycaching.log import Type as LogType
for find in geocaching.my_finds(limit=5):
print(find.name)
for dnf in geocaching.my_dnfs(limit=2):
print(dnf.name)
for note in geocaching.my_logs(LogType.note, limit=6):
print(note.name)
.. _appendix:
Be sure to read Geocaching.com's terms of use <http://www.geocaching.com/about/termsofuse.aspx>
__.
By using this piece of software you break them and your Geocaching account may be suspended or even
deleted. To prevent this, I recommend you to load the data you really need, nothing more. This
software is provided "as is" and I am not responsible for any damage possibly caused by it.
Original version was inspired by these packages:
Geocache Grabber <http://www.cs.auckland.ac.nz/~fuad/geo.py>
__ (by Fuad Tabba)geocaching-py <https://github.com/abbot/geocaching-py>
__ (by Lev Shamardin)Although the new version was massively rewritten, I'd like to thank to their authors.
Authors of this project are all contributors <https://github.com/tomasbedrich/pycaching/graphs/contributors>
. Maintainer is Tomáš Bedřich <http://tbedrich.cz>
.
.. _build_status:
|PyPI monthly downloads|
.. |PyPI monthly downloads| image:: http://img.shields.io/pypi/dm/pycaching.svg :target: https://pypi.python.org/pypi/pycaching
FAQs
Geocaching.com site crawler. Provides tools for searching, fetching caches and geocoding.
We found that pycaching demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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