
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.
A much less forgiving markdown implementation, which is to say: if I can't tell what the document layout is supposed to be in text format, I don't want the converter guessing for me.
The basic indentation is four spaces, although lists start at either zero or two space indentation. Indented code blocks are not allowed after a list.
Currently supported syntax:
Element StoneMark Syntax
==========
Heading H1 Heading H2 Heading H3 Heading
========== ========== ----------
Bold **bold text**
Italic *italicized text*
Bold & Italic ***bold, italicized text***
Ordered List 1. First item
2. Second item
3. Third item
Unordered List - First item
- Second item
- Third item
Code `code`
Horizontal Rule --- or ***
Link (in-line) [title](https://www.example.com)
(separate) [title][id]
...
[id]: <https://www.example.com>
Image 
Fenced Code Block ``` or ~~~
{
"firstName": "John",
"lastName": "Smith",
"age": 25
}
``` or ~~~
Footnote Here's a sentence with a footnote. [^1]
[^1]: This is the footnote.
Strikethrough ~~The world is flat.~~
Underline __Pay attention.__
Highlight I need to highlight these ==very important words==.
Subscript H~2~O
Superscript X^2^
FAQs
a markup language similar to markdown
We found that stonemark 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.
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.