DanielVF

import nimPNG
import std/[times, os, strutils]

var bytecode: string = parseHexStr("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

DanielVF

Impact

CRITICAL! Almost all USDC liquidity on the REKT/USDC uniswap pool can be stolen, due to an authorization issue with burnFrom() on the REKT token.

Background

Uniswap v2 pools get the prices for their swaps by comparing the relative amounts of each of the two tokens that they hold. If the pool holds very little of token A, and a lot of token B, then it only takes a little of token A to buy a lot of token B.

Currently REKT and USDC are fairly priced in the pool. If there were to suddenly be very little REKT in the pool, but the same amount of USDC, then very little REKT would be able to buy a lot of USDC.

DanielVF

pragma solidity 0.8.7;

interface KeeperCompatibleInterface {
    function checkUpkeep(bytes calldata checkData)
        external
        returns (bool upkeepNeeded, bytes memory performData);

    function performUpkeep(bytes calldata performData) external;
}

DanielVF

DanielVF

import pandas as pd
import numpy as np
import secrets

num = 800
addresses = ['0x'+secrets.token_hex(20) for _ in range(0,num)]
amounts =  np.power(1200000, np.random.rand(num)*np.random.rand(num))

df = pd.DataFrame({'address':addresses, 'amount':amounts})
df.to_csv('sample_amounts.csv')

DanielVF

pragma solidity ^0.6.0;

// Calling SafeERC20.safeTransfer and SafeERC20.safeTransferFrom can fail
// with a "SafeERC20: ERC20 operation did not succeed" message when the
// underlying cause is running out of gas inside the transfer

// This is because the low level call to the ERC20 is indeed reverted by
// running out of gas, but that revert is caught, and a different revert
// is raised by the safeTransfer method.

DanielVF

const fs = require('fs')
const chalk = require('chalk')

const trace = JSON.parse(fs.readFileSync('2019_08_09_mike_fail.json'))
const logs = trace.result.structLogs as TraceLog[]

interface TraceLog {
    depth: number
    error: string
    gas: number,

DanielVF

# If running against any data you care about, check the results of each command for success before running the next command.


# Create new index
curl -X PUT "localhost:9200/listings_two" -H 'Content-Type: application/json' -d'
{
    "mappings":{"listing":{"properties":{"price.amount":{"type":"double"},"price.currency.id":{"type":"keyword"},"commission":{"type":"double"},"commissionPerUnit":{"type":"double"},"unitsTotal":{"type":"integer"},"language":{"type":"keyword"},"listingType":{"type":"keyword"},"status":{"type":"keyword"},"marketplacePublisher":{"type":"keyword"},"category":{"type":"keyword","copy_to":"all_text"},"subCategory":{"type":"keyword","copy_to":"all_text"},"description":{"type":"text","copy_to":"all_text"},"title":{"type":"text","copy_to":"all_text"},"all_text":{"type":"text"}}}}
}
'
# copy listings to new index

DanielVF

import sets
import engine
import strutils
import math
# import log

type
    Atc* = ref object of RootObj
        available*: HashSet[Ship]
        occupied*: seq[bool]

DanielVF

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import json
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
pd.options.mode.chained_assignment = None