Showing posts with label Server. Show all posts
Showing posts with label Server. Show all posts

Sep 14, 2017

Spaghetti - Web Application Security Scanner

Web Application Security Scanner
Spaghetti is a web application security scanner tool. It is designed to find various default and insecure files, configurations and misconfigurations. Spaghetti is built on python2.7 and can run on any platform which has a Python environment.
Spaghetti

Installation

$ git clone https://github.com/m4ll0k/Spaghetti.git
$ cd Spaghetti 
$ pip install -r requirements.txt
$ python spaghetti.py --help

Features

  • Fingerprints
  • Server
  • Web Frameworks (CakePHP,CherryPy,Django,...)
  • Web Application Firewall (Waf) (Cloudflare,AWS,Barracuda,...)
  • Content Management System (CMS) (Drupal,Joomla,Wordpress,Magento)
  • Operating System (Linux,Unix,Windows,...)
  • Language (PHP,Ruby,Python,ASP,...)

Dicovery:

  • Apache
  • Apache (mod_userdir)
  • Apache (mod_status)
  • Apache multiviews
  • Apache xss
  • Broken Auth./Session Management
  • Admin Panel
  • Backdoors
  • Backup Directory
  • Backup File
  • Common Directory
  • Common File
  • Log File
  • Disclosure
  • Emails
  • IP
  • Injection
  • HTML
  • SQL
  • LDAP
  • XPath
  • XSS
  • RFI
  • PHP Code
  • Other
  • Allow Methods
  • HTML Object
  • Multiple Index
  • Robots Paths
  • Cookie Security
  • Vulns
  • ShellShock
  • Struts-Shock

Usage:

python spaghetti.py --url target.com --scan 0 --random-agent --verbose
python spaghetti.py --url target.com --scan 1 --random-agent --verbose

FIR - Fast Incident Response

What is FIR? Who is it for?

FIR (Fast Incident Response) is an cybersecurity incident management platform designed with agility and speed in mind. It allows for easy creation, tracking, and reporting of cybersecurity incidents.

FIR is for anyone needing to track cybersecurity incidents (CSIRTs, CERTs, SOCs, etc.). It's was tailored to suit our needs and our team's habits, but we put a great deal of effort into making it as generic as possible before releasing it so that other teams around the world may also use it and customize it as they see fit.
Fast Incident Response
Fast Incident Response

Installation

There are two ways to install FIR. If you want to take it for a test-drive, just follow the instructions for setting up a development environment in the Wiki.

If you like it and want to set it up for production, here's how to do it.

A dockerfile for running a dev-quality FIR setup is also available in docker/Dockerfile.

Deploy to Heroku via fir/heroku_settings.py

Technical specs

FIR is written in Python (but you probably already knew that), using Django 1.9. It uses Bootstrap 3 and some Ajax and d3js to make it pretty. We use it with a MySQL back-end, but feel free to use any other DB adaptor you might want - as long as it's compatible with Django, you shouldn't run into any major issues.

FIR is not greedy performance-wise. It will run smoothly on a Ubuntu 14.04 virtual machine with 1 core, a 40 GB disk and 1 GB RAM.

Downloads Source

Aug 31, 2017

Malicious Traffic Detection System 101Scratch

Introduction

Maltrail is a malicious traffic detection system, utilizing publicly available (black)lists containing malicious and/or generally suspicious trails, along with static trails compiled from various AV reports and custom user defined lists, where trail can be anything from domain name (e.g. zvpprsensinaix.com for Banjori malware), URL (e.g. http://109.162.38.120/harsh02.exe for known malicious executable), IP address (e.g. 185.130.5.231 for known attacker) or HTTP User-Agent header value (e.g. sqlmap for automatic SQL injection and database takeover tool). Also, it uses (optional) advanced heuristic mechanisms that can help in discovery of unknown threats (e.g. new malware).
Malicious Traffic Detection System
Malicious Traffic Detection System.
The following (black)lists (i.e. feeds) are being utilized:
alienvault, autoshun, badips, bambenekconsultingc2dns,
bambenekconsultingc2ip, bambenekconsultingdga, bitcoinnodes,
blocklist, botscout, bruteforceblocker, ciarmy, cruzit,
cybercrimetracker, deepviz, dataplanesipinvitation,
dataplanesipquery, dataplane, dshielddns, dshieldip,
emergingthreatsbot, emergingthreatscip, emergingthreatsdns,
feodotrackerdns, malwaredomainlist, malwaredomains, malwarepatrol,
maxmind, myip, nothink, openbl, openphish, packetmailcarisirt,
packetmailramnode, palevotracker, policeman, proxylists, proxyrss,
proxy, ransomwaretrackerdns, ransomwaretrackerip,
ransomwaretrackerurl, riproxies, rutgers, sblam, securityresearch,
snort, socksproxy, sslipbl, sslproxies, torproject, torstatus,
turris, urlvir, voipbl, vxvault, zeustrackerdns, zeustrackerip,
zeustrackermonitor, zeustrackerurl, etc.
As of static entries, the trails for the following malicious entities (e.g. malware C&Cs or sinkholes) have been manually included (from various AV reports and personal research):
aboc, adwind, alienspy, almalocker, alureon, android_acecard,
android_adrd, android_alienspy, android_arspam,
android_backflash, android_basebridge, android_boxer,
android_chuli, android_claco, android_coolreaper,
android_counterclank, android_cyberwurx, android_dendoroid,
android_dougalek, android_droidjack, android_droidkungfu,
android_enesoluty, android_ewalls, android_exprespam,
android_fakebanco, android_fakedown, android_fakeinst,
android_fakelog, android_fakemart, android_fakemrat,
android_fakeneflic, android_fakesecsuit, android_feabme,
android_flexispy, android_frogonal, android_geinimi,
android_ghostpush, android_ginmaster, android_gmaster,
android_godwon, android_golddream, android_gonesixty,
android_ibanking, android_kemoge, android_lockdroid,
android_lovetrap, android_maistealer, android_maxit,
android_oneclickfraud, android_opfake, android_ozotshielder,
android_pikspam, android_pjapps, android_qdplugin,
android_repane, android_roidsec, android_samsapo,
android_sandorat, android_selfmite, android_simplocker,
android_skullkey, android_sndapps, android_spytekcell,
android_stealer, android_stels, android_teelog, android_tetus,
android_tonclank, android_torec, android_uracto,
android_usbcleaver, android_walkinwat, android_windseeker,
android_zertsecurity, androm, andromem, angler, anuna, arec,
aridviper, artro, autoit, avalanche, avrecon, axpergle, babar,
bachosens, badblock, balamid, bamital, bankapol, bankpatch,
banloa, banprox, bayrob, bedep, blackenergy, blackvine,
blockbuster, bredolab, bubnix, bucriv, buterat, camerashy,
carbanak, carberp, careto, casper, cerber, changeup, chanitor,
chekua, cheshire, chewbacca, chisbur, cleaver, cloud_atlas,
conficker, contopee, copykittens, corebot, cosmicduke,
couponarific, criakl, cridex, crilock, cryakl, cryptinfinite,
cryptodefense, cryptolocker, cryptowall, ctblocker, cutwail,
darkhotel, defru, desertfalcon, destory, dnschanger,
dnsmessenger, dnstrojan, dorifel, dorkbot, drapion, dridex,
dukes, dursg, dyreza, elf_aidra, elf_billgates, elf_darlloz,
elf_ekoms, elf_fysbis, elf_groundhog, elf_hacked_mint,
elf_mayhem, elf_mokes, elf_pinscan, elf_rekoobe, elf_shelldos,
elf_sshscan, elf_themoon, elf_turla, elf_xnote, elf_xorddos,
elpman, emogen, emotet, equation, evilbunny, ewind, expiro,
fakeav, fakeran, fantom, fareit, fbi_ransomware, fiexp,
fignotok, fin4, finfisher, fraudload, fynloski, fysna, gamarue,
gauss, gbot, generic, golroted, gozi, groundbait, harnig,
hawkeye, helompy, hiloti, hinired, htran, immortal, injecto,
ios_keyraider, ios_muda, ios_oneclickfraud, ios_specter,
ismdoor, jenxcus, kegotip, keydnap, kingslayer, kolab,
koobface, korgo, korplug, kovter, kradellsh, kulekmoko,
lazarus, locky, lollipop, lotus_blossom, luckycat, majikpos,
malwaremustdie, marsjoke, mdrop, mebroot, mestep, mhretriev,
miniduke, misogow, modpos, morto, nanocor, nbot, necurs,
nemeot, neshuta, nettraveler, netwire, neurevt, nexlogger,
nivdort, nonbolqu, nuqel, nwt, nymaim, odcodc, oficla, onkods,
optima, osx_keranger, osx_keydnap, osx_salgorea,
osx_wirelurker, palevo, pdfjsc, pegasus, pepperat, phytob,
picgoo, pift, plagent, plugx, ponmocup, poshcoder, potao,
powelike, proslikefan, pushdo, pykspa, qakbot, quasar, ramnit,
ransirac, reactorbot, redoctober, redsip, remcos, renocide,
reveton, revetrat, rovnix, runforestrun, russian_doll, rustock,
sakurel, sality, satana, sathurbot, scarcruft, scarletmimic,
scieron, seaduke, sednit, sefnit, selfdel, shifu, shylock,
siesta, silentbrute, silly, simda, sinkhole_abuse,
sinkhole_anubis, sinkhole_arbor, sinkhole_bitdefender,
sinkhole_blacklab, sinkhole_botnethunter, sinkhole_certgovau,
sinkhole_certpl, sinkhole_checkpoint, sinkhole_cirtdk,
sinkhole_conficker, sinkhole_cryptolocker, sinkhole_drweb,
sinkhole_dynadot, sinkhole_dyre, sinkhole_farsight,
sinkhole_fbizeus, sinkhole_fitsec, sinkhole_fnord,
sinkhole_gameoverzeus, sinkhole_georgiatech, sinkhole_gladtech,
sinkhole_honeybot, sinkhole_kaspersky, sinkhole_microsoft,
sinkhole_rsa, sinkhole_secureworks, sinkhole_shadowserver,
sinkhole_sidnlabs, sinkhole_sinkdns, sinkhole_sofacy,
sinkhole_sugarbucket, sinkhole_tech, sinkhole_unknown,
sinkhole_virustracker, sinkhole_wapacklabs, sinkhole_zinkhole,
skeeyah, skynet, skyper, smsfakesky, snake, snifula, snort,
sockrat, sofacy, sohanad, spyeye, stabuniq, stonedrill,
stuxnet, synolocker, tdss, teamspy, teerac, teslacrypt,
themida, tibet, tinba, torpig, torrentlocker, troldesh, turla,
unruy, upatre, utoti, vawtrak, vbcheman, vinderuf, virtum,
virut, vittalia, vobfus, volatilecedar, vundo, waledac,
waterbug, wecorl, wndred, xadupi, xcodeghost, xtrat, yenibot,
yimfoca, zaletelly, zcrypt, zemot, zeroaccess, zeus, zherotee,
zlader, zlob, zombrari, zxshell, etc.

Architecture

Maltrail is based on the Traffic -> Sensor <-> Server <-> Client architecture. Sensor(s) is a standalone component running on the monitoring node (e.g. Linux platform connected passively to the SPAN/mirroring port or transparently inline on a Linux bridge) or at the standalone machine (e.g. Honeypot) where it "monitors" the passing Traffic for blacklisted items/trails (i.e. domain names, URLs and/or IPs). In case of a positive match, it sends the event details to the (central) Server where they are being stored inside the appropriate logging directory (i.e. LOG_DIR described in the Configuration section). If Sensor is being run on the same machine as Server (default configuration), logs are stored directly into the local logging directory. Otherwise, they are being sent via UDP messages to the remote server (i.e. LOG_SERVER described in the Configuration section).
Server's primary role is to store the event details and provide back-end support for the reporting web application. In default configuration, server and sensor will run on the same machine. So, to prevent potential disruptions in sensor activities, the front-end reporting part is based on the "Fat client" architecture (i.e. all data post-processing is being done inside the client's web browser instance). Events (i.e. log entries) for the chosen (24h) period are transferred to the Client, where the reporting web application is solely responsible for the presentation part. Data is sent toward the client in compressed chunks, where they are processed sequentially. The final report is created in a highly condensed form, practically allowing presentation of virtually unlimited number of events.
Note: Server component can be skipped altogether, and just use the standalone Sensor. In such case, all events would be stored in the local logging directory, while the log entries could be examined either manually or by some CSV reading application.

Quick start

The following set of commands should get your Maltrail Sensor up and running (out of the box with default settings and monitoring interface "any"):
sudo apt-get install git python-pcapy
git clone https://github.com/stamparm/maltrail.git
cd maltrail
sudo python sensor.py
To start the (optional) Server on same machine, open a new terminal and execute the following:
[[ -d maltrail ]] || git clone https://github.com/stamparm/maltrail.git
cd maltrail
python server.py
To test that everything is up and running execute the following:
ping -c 1 136.161.101.53
cat /var/log/maltrail/$(date +"%Y-%m-%d").log
To stop Sensor and Server instances (if running in background) execute the following:
sudo pkill -f sensor.py
pkill -f server.py
Access the reporting interface (i.e. Client) by visiting the http://127.0.0.1:8338 (default credentials: admin:changeme!) from your web browser:
Malicious Traffic Detection System
Malicious Traffic Detection System 101Scratch

 

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