Moves the encodeHashComponent and decodeHashComponent functions out of
hash_util and into internal_url which belongs to shared. This is to
accommodate sharing of this code with mobile or any other codebases that
do not wish to duplicate logic.
Fixes#2665.
Regenerated by tabbott with `lint --fix` after a rebase and change in
parameters.
Note from tabbott: In a few cases, this converts technical debt in the
form of unsorted imports into different technical debt in the form of
our largest files having very long, ugly import sequences at the
start. I expect this change will increase pressure for us to split
those files, which isn't a bad thing.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
This commit adds three `.pysa` model files: `false_positives.pysa`
for ruling out false positive flows with `Sanitize` annotations,
`req_lib.pysa` for educating pysa about Zulip's `REQ()` pattern for
extracting user input, and `redirects.pysa` for capturing the risk
of open redirects within Zulip code. Additionally, this commit
introduces `mark_sanitized`, an identity function which can be used
to selectively clear taint in cases where `Sanitize` models will not
work. This commit also puts `mark_sanitized` to work removing known
false postive flows.
This commit introduces two new functions in 'url_encoding.py' which
centralize two common patterns for constructing redirect URLs. It
also migrates the files using those patterns to use the new
functions.
When you send a message to a bot that wants
to talk via an outgoing webhook, and there's
an error (e.g. server is down), we send a
message to the bot's owner that links to the
message that triggered the error.
The code to produce those links was out of
date.
Now we move the important code to the
`url_encoding.py` library and fix the PM
links to use the more modern style (user_ids
instead of emails). We also replace "subject"
with "topic" in the stream urls.
Extracting this helper library will help us avoid an import loop
between notifications.py and message.py (with bugdown in between).
But in addition to that, it's a more natural model, since some of the
uses for these functions weren't part of the notifications code
anyway.
Austin Riba
Anders Kaseorg
Graham Bleaney
Steve Howell
Tim Abbott