- Detect secrets in code
- Identify secrets committed to version control
- Flag hardcoded credentials
- Identify missing authentication checks
- Detect improper authorization patterns
function deleteSavedItems() { | |
var query = document.querySelectorAll("#sc-saved-cart input[value=Delete]") | |
if (query.length) { | |
query[0].click(); | |
} | |
if (query.length > 1) { | |
setTimeout(deleteSavedItems,100); | |
} | |
else { | |
console.log('Finished'); |
import transformers | |
model_name = 'Intel/neural-chat-7b-v3-1' | |
model = transformers.AutoModelForCausalLM.from_pretrained(model_name) | |
tokenizer = transformers.AutoTokenizer.from_pretrained(model_name) | |
def generate_response(system_input, user_input): | |
# Format the input using the provided template |
import transformers | |
model_name = 'Intel/neural-chat-7b-v3-1' | |
model = transformers.AutoModelForCausalLM.from_pretrained(model_name) | |
tokenizer = transformers.AutoTokenizer.from_pretrained(model_name) | |
def generate_response(system_input, user_input): | |
# Format the input using the provided template |
!pip install transformers optimum | |
!pip install auto-gptq --extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/ | |
from transformers import AutoModelForCausalLM, AutoTokenizer | |
model_name_or_path = "TheBloke/zephyr-7B-beta-GPTQ" | |
model = AutoModelForCausalLM.from_pretrained(model_name_or_path, | |
device_map="auto", | |
trust_remote_code=False, |
#!/bin/sh | |
set -x | |
NAME=thingy | |
MIRROR=ftp.at.debian.org/debian | |
tmpdir=$(mktemp -p "${TMPDIR:-/tmp/}" -d $NAME-XXXX) || exit 1 | |
#tmpdir=/tmp/thingy | |
#mkdir -p "$tmpdir" |
// gcc aml-upgrade-package-extract.c -o aml-upgrade-package-extract | |
// ./aml-upgrade-package-extract update-usb-burning-mode.img | |
// /dev/sdX - fat32 sdcard | |
// Make bootable Android update: | |
// dd if=aml_sdc_burn.UBOOT bs=1 count=442 of=/dev/sdX | |
// dd if=aml_sdc_burn.UBOOT seek=1 skip=1 bs=512 of=/dev/sdX | |
// sync |
Below are the steps to get an ARM64 version of Ubuntu running in the QEMU emulator on Windows 10.
Install for Windows from https://qemu.weilnetz.de/w64/ (I used qemu-w64-setup-20181211.exe
)
Put C:\Program Files\qemu
on your PATH, and run the below to check it's working (which will list out
the CPUs the AArch64 emulator can emulate):
qemu-system-aarch64 -M virt -cpu help