From c8a40f39c315a31ff8e574132a6191432729df92 Mon Sep 17 00:00:00 2001 From: Jakub Pruzinec Date: Mon, 4 Sep 2023 15:55:00 +0800 Subject: [PATCH] readme update --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index d728928..3846a5b 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,9 @@ Hakuin is a Blind SQL Injection (BSQLI) inference optimization and automation framework written in Python 3. It abstract away the inference logic and allows users to easily and efficiently extract textual data in databases (DB) from vulnerable web applications. To speed up the process, Hakuin uses pre-trained language models for DB schemas and adaptive language models in combination with opportunistic string guessing for DB content. -Our work has been presented at academic and industrial conferences: +Make sure to read our [paper](https://github.com/pruzko/hakuin/blob/main/publications/Hakuin_WOOT_23.pdf) or see the [slides](https://github.com/pruzko/hakuin/blob/main/publications/Hakuin_HITB_23.pdf). + +Hakuin been presented at academic and industrial conferences: - [IEEE Workshop on Offsensive Technology (WOOT)](https://wootconference.org/papers/woot23-paper17.pdf), 2023 - [Hack in the Box, Phuket](https://conference.hitb.org/hitbsecconf2023hkt/session/hakuin-injecting-brains-into-blind-sql-injection/), 2023