spipm

# Test for semantic between sentences using small language model

from transformers import AutoTokenizer, AutoModel
import torch
from sklearn.metrics.pairwise import cosine_similarity

# Load a multilingual lightweight model and tokenizer
model_name = "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModel.from_pretrained(model_name)

spipm

1. Build plugin

Clone plugin from https://github.com/silentsignal/oracle_forms/

Edit script for Python 3 (see pull request)

if ctx.options.corrupt_handshake:
    flow.response.content = flow.response.content.replace(b'Mate', b'Matf')

spipm

#!/bin/bash

docker create --name extract_test repo.foo.bar/some_image:v1337
mkdir container
docker export extract_test | tar xvf - -C container

spipm

#!/bin/bash

# Run PXE boot server on interface
#   Seems to work with UEFI and Secureboot
#   Spip, 2023
#
# Most stuff from https://www.youtube.com/watch?v=E_OlsA1hF4k
#

# Check args

spipm

/*

  Simple HackRF programming exercise
    Sipke '19

  This program receives raw data from a certain frequency until the user pressed ctrl+c.
  Code is mostly taken from hackrf_sweep.c (hackrf toolbox) and converted to the bare minimum.
  It's created to learn about how the HackRF behaves and to do something with it via custom code that doesn't involve GnuRadio.
  Note that you can directly use the command line tools hackrf_sweep, hackrf_transfer and rtl_sdr for the same thing and more.

spipm

import ssl
from Crypto.Util import asn1
from OpenSSL.crypto import FILETYPE_PEM, FILETYPE_ASN1, load_certificate, dump_privatekey

def getModulusFromServer(host, port=443):

	try:
		# get cert from server
		cert = ssl.get_server_certificate((host,port))
		# load certificate