williballenthin

/**
 * @brief Enumeration of options for curl_easy_setopt() based on libcurl.
 *
 * Note: The explicit integer values match those used by libcurl.
 * Options without explicit values increment from the previous one.
 */
typedef enum {
    /* Options expecting a long */
    CURLOPT_PORT = 3,
    CURLOPT_TIMEOUT = 13,

williballenthin

eval (ssh-agent -c)
    set -Ux SSH_AUTH_SOCK $SSH_AUTH_SOCK
    set -Ux SSH_AGENT_PID $SSH_AGENT_PID

williballenthin

import "dotnet"

rule DotnetStartupHook { 
  meta:
    description = "might be a .NET startup hook module"
    author = "William Ballenthin <[email protected]>"
  strings:
     $a1 = "StartupHook"
     $a2 = "Initialize"
  condition: 

williballenthin

# decoding_routines.py
#
# An example of using FLOSS as a library to identify potential decoding routines.
# It will print an ordered list of function addresses and their "score",
# ranked from most likely to least likely to be a decoding routine.
#
# Usage:
#
#     $ python decoding_routines.py /path/to/input.exe
#     0x401000: 0.99

williballenthin

#!/usr/bin/env python3
'''
compare vivisect analysis comparison across versions.

pip install devtools[pygments] pydantic viv-utils termcolor
'''
import sys
import time
import os.path
import logging

williballenthin

#NoEnv
#Warn
SendMode Input
SetWorkingDir %A_ScriptDir%

SetCapsLockState AlwaysOff
CapsLock::Send {esc}
CapsLock & j::Send {Down}
CapsLock & k::Send {Up}
CapsLock & h::Send {Left}

williballenthin

import mmap

def lines(m):
    line = m.readline()
    while line:
        yield line.decode("utf-8").rstrip("\n")
        line = m.readline()
        
def filelines(path):
    with open(path, "rb") as f:

williballenthin

"""
sort the given jsonl document (distinct json documents separated by newline)
by the given key, writing the output to STDOUT.

example:

    python sort-jsonl-by-key.py log.jsonl "timestamp"

this does require reading the entire document into memory, first.
a future revision could maybe use a mmap to avoid keeping things in memory.

williballenthin

2c4a910a1299cdae2a4e55988a2f102e  ./APT_Backdoor_SUNBURST/019085a76ba7126fff22770d71bd901c325fc68ac55aa743327984e89f4b0134
b91ce2fa41029f6955bff20079468448  ./APT_Backdoor_SUNBURST/32519b85c0b422e4656de6e6c41878e95fd95026267daab4215ee59c107d6c77
e18a6a21eb44e77ca8d739a72209c370  ./APT_Backdoor_SUNBURST/a25cadd48d70f6ea0c4a241d99c5241269e6faccb4054e62d16784640f8e53bc
9ac181cb35f27e860d59e8d2a6309d35  ./APT_Backdoor_SUNBURST/ad2fbf4add71f61173975989d1a18395afb8538ed889012b9d2e21c19e98bbd1
846e27a652a5e1bfbd0ddd38a16dc865  ./APT_Backdoor_SUNBURST/ce77d116a074dab7a22a0fd4f2c1ab475f16eec42e1ded3c0b0aa8211fe858d6
3e329a4c9030b26ba152fb602a1d5893  ./APT_Backdoor_SUNBURST/d3c6785e18fba3749fb785bc313cf8346182f532c59172b69adfb31b96a5d0af
393702fab1c5d09d9f94e8a63114746d  ./APT_Dropper_Win64_TEARDROP/6e4050c6a2d2e5e49606d96dd2922da480f2e0c70082cc7e54449a7dc0d20f8d
56ceb6d0011d87b6e4d7023d7ef85676  ./APT_Webshell_SUPERNOVA/c15abaf51e78ca56c0376522d699c978217bf041a3bd3c71d09193efa5717c71
b32892d699c39949e9b648d6b72fe5cf  

williballenthin

here i'm parsing some test data with kaitai to see what it can extract.

this is the dumper that i'm using:

import binascii
import tabulate

PRIMATIVE_TYPES = (str, bytes, int)