
Research
PyPI Package Disguised as Instagram Growth Tool Harvests User Credentials
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
github.com/bashtian/nds
Package github.com/qedus/nds
is a datastore API for the Google App Engine (GAE) Go Runtime Environment that uses memcache to cache all datastore requests. It is compatible with both Classic and Managed VM products. This package guarantees strong cache consistency when using nds.Get*
and nds.Put*
, meaning you will never get data from a stale cache.
Exposed parts of this API are the same as the official one distributed by Google (google.golang.org/appengine/datastore
). However, underneath github.com/qedus/nds
uses a caching stategy similar to the GAE Python NDB API. In fact the caching strategy used here even fixes one or two of the Python NDB caching consistency bugs.
You can find the API documentation at http://godoc.org/github.com/qedus/nds.
One other benefit is that the standard datastore.GetMulti
, datastore.PutMulti
and datastore.DeleteMulti
functions only allow you to work with a maximum of 1000, 500 and 500 entities per call respectively. The nds.GetMulti
, nds.PutMulti
and nds.DeleteMulti
functions in this package allow you to work with as many entities as you need (within timeout limits) by concurrently calling the appropriate datastore function until your request is fulfilled.
You can use this package in exactly the same way you would use google.golang.org/appengine/datastore
. However, it is important that you use nds.Get*
, nds.Put*
, nds.Delete*
and nds.RunInTransaction
entirely within your code. Do not mix use of those functions with the google.golang.org/appengine/datastore
equivalents as you will be liable to get stale datastore entities from github.com/qedus/nds
.
Ultimately all you need to do is find/replace the following in your codebase:
datastore.Get
-> nds.Get
datastore.Put
-> nds.Put
datastore.Delete
-> nds.Delete
datastore.RunInTransaction
-> nds.RunInTransaction
FAQs
Unknown package
Did you know?
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.
Research
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
Product
Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
Security News
Research
Socket uncovered two npm packages that register hidden HTTP endpoints to delete all files on command.