59 lines
1.8 KiB
Nix
59 lines
1.8 KiB
Nix
{ lib, stdenv, fetchFromGitHub, python3Packages }:
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python3Packages.buildPythonApplication rec {
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pname = "decode-spam-headers";
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version = "2022-09-22-unreleased";
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src = fetchFromGitHub {
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owner = "mgeeky";
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repo = "decode-spam-headers";
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rev = "492b6e744475cd5d3dd68a8140bc3478244b7df1";
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sha256 = "sha256-gBDkvlZCndQjochn6TZtM/Lanza64LqMjNnLjn+pPR4=";
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};
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format = "other";
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outputs = [ "out" "doc" ];
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installPhase = ''
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install -D decode-spam-headers.py $out/bin/decode-spam-headers
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mkdir -p $doc/share/doc/${pname}
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mv \
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README.md \
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img/ \
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$doc/share/doc/${pname}
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'';
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propagatedBuildInputs = [
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python3Packages.python-dateutil
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python3Packages.tldextract
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python3Packages.packaging
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python3Packages.dnspython
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python3Packages.requests
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python3Packages.colorama
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];
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meta = with lib; {
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homepage = "https://github.com/mgeeky/decode-spam-headers/";
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description = "Script that helps you understand why your E-Mail ended up in Spam";
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mainProgram = "decode-spam-headers";
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longDescription = ''
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Whether you are trying to understand why a specific e-mail ended up in
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SPAM/Junk for your daily Administrative duties or for your Red-Team
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Phishing simulation purposes, this script is there for you to help!
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This tool accepts on input an *.EML or *.txt file with all the SMTP
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headers. It will then extract a subset of interesting headers and using
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105+ tests will attempt to decode them as much as possible.
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This script also extracts all IPv4 addresses and domain names and performs
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full DNS resolution of them.
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Resulting output will contain useful information on why this e-mail might
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have been blocked.
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'';
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license = licenses.mit;
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maintainers = [ ];
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};
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}
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