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Kerberoast : Kerberoast Attack -Pure Python-

Kerberoast attack toolkit -pure python

Install

pip3 install kerberoast

Prerequirements

Python 3.6 See requirements.txt For the impatient

IMPORTANT: the accepted target url formats for LDAP and Kerberos are the following : : Steps -with SSPI-: kerberoast auto Steps -SSPI not used-:

* Look for vulnerable users via LDAP kerberoast ldap all * Use ASREP roast against users in the ldapenum_asrep_users.txtfile kerberoast asreproast * Use SPN roast against users in the ldapenum_spn_users.txtfile kerberoast spnroast * Crack SPN roast and ASPREP roast output with hashcat Commands ldap

This command group is for enumerating potentially vulnerable users via LDAP. Command structure kerberoast ldap Type: It supports three types of users to be enumerated

* spnEnumerates users with servicePrincipalNameattribute set.
* asrepEnumerates users with DONT_REQ_PREAUTHflag set in their UAC attribute.
* allStartes all the above mentioned enumerations. ldap_connection_url: Specifies the usercredential and the target server in the msldap url format (see help) options: -o: Output file base name brute

This command is to perform username enumeration by brute-forcing the kerberos service with possible username candidates Command structure kerberoast brute realm: The kerberos realm usually looks like COMPANY.corpdc_ip: IP or hostname of the domain controller targets: Path to the file which contains the possible username candidates options: -o: Output file base name asreproast

This command is to perform ASREProast attack Command structure kerberoast asreproast dc_ip
: IP or hostname of the domain controller options: -r: Specifies the kerberos realm to be used. It overrides all other realm info. -o: Output file base name -t: Path to the file which contains the usernames to perform the attack on -u: Specifies the user to perform the attack on. Format is either or but in the first case, the -roption must be used to specify the realm spnroast

This command is to perform SPNroast (AKA kerberoast) attack. Command structure kerberoast spnroast kerberos_connection_url
: Specifies the usercredential and the target server in the kerberos URL format (see help) options: -r: Specifies the kerberos realm to be used. It overrides all other realm info. -o: Output file base name -t: Path to the file which contains the usernames to perform the attack on -u: Specifies the user to perform the attack on. Format is either or but in the first case, the -roption must be used to specify the realm Download

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hacking: security in practice
Linkedin Account Generator

I am writing a script to generate linkedin account for digital makerting , I am in testing phase, so I created various accounts manually with different cellphone sms verification numbers, but days after that without any actions, all these accounts are blocked with restricctions including my original account, I need to upload an real ID document to recovery each of them, Does anybody knows how Microsoft/ Linkedin known these accounts are 'fakes' and how linked with my original account? I am thinking about use diferent proxies to manage my accounts, but I donot know if i am right? And how to bypass this posible detection.

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hacking: security in practice
Private hacking eviroment

Hey guys, how would you aproach creating really private hacking enviroment? I thought about QubesOs hacking but i think it would be kinda painfull, also thought about creating Hacking vm's inside of base Debian Os and wiping them weekly, but yeah i've gotta grab some ideas on how to aproach it with it actually being practical.

submitted by /u/Mtay___
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hacking: security in practice
Password database dumps

are there places where password database dumps are available for download? I would love to do some of my own analysis.

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Dark Reading: Attacks/Breaches
Navigating Nobelium: Lessons From Cloud Hopper & NotPetya

Nearly every organization should assume that it is at risk, but there are ways of countering the tactics used by advanced persistent threats.
Dark Reading: Attacks/Breaches
The Looming CISO Mental Health Crisis — and What to Do About It, Part 1

The next big threat to corporate security may not be a new strain of malware or innovative attacker tactics, techniques, and processes. It may be our own mental health.
Mininode - A CLI Tool To Reduce The Attack Surface Of The Node.js Applications By Using Static Analysis

Mininode is a CLI tool to reduce the attack surface of the Node.js applications by using static analysis of source code. It supports two modes of reduction (1) coarse, (2) fine. Mininode constructs the dependency graph (modules and functions used) of the application starting from main file, i.e. entry point of the application. Mininode initializes entry point to package.json file's main field if it exists. Otherwise default to index.js. Example usage: node index.js --mode=(coarse|fine). Below is the list of options that can be passed to Mininode. Options List of command line options that can be passed to mininode. --destination, -d: the path where mininode will save the reduced Node.js application. The default value: mininode. --dry-run: just generates mininode.json without modifying the initial application. --mode, -m: reduction mode. The value can be either coarse or fine. In coarse mode mininode will perform only coarse-grained reduction. While in fine mode mininode will perform fine-grained reduction. In general coarse-grained reduction is more reliable, because mininode will not try to reduce unused functions inside the module. Default value: coarse. --silent: console output is disabled. This will improve the performance of the mininode. --verbose: outputs additional information to the console. The default value: false --log: mininode will generate log file inside, which contains dependency graph of the application in json format. The default value: true. --log-output: the name of the log file generated by mininode. The default value: mininode.json. --compress-log: compresses the final log file. By default it will dump everything into log file. In production it is advised to pass the --compress-log flag to save space. --seeds: seed files from where mininode will start building dependency graph. You can provide many seed files by separating them with colon. --skip-stat: skips calculating the statistics --skip-reduction: if passed mininode will not reduce the JavaScript files. The default value: false. --skip-remove: if passed mininode will not remove unused JavaScript files. The default value: false. Limitaions Mininode uses static analysis, which means it can not reduce the attack surface of the Node.js application which uses dynamic behaviour, such as eval. If Mininode detects dynamic behaviour in the application it exits with error DYNAMIC_BEHAVOUR_DETECTED. Research Paper You can read more about the details of our work in the following research paper: Mininode: Reducing the Attack Surface of Node.js Applications PDF Igibek Koishybayev, Alexandros Kapravelos Proceedings of the International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 2020 If you use Mininode in your research, consider citing our work using this Bibtex entry: @conference{mininode-raid20, title = {{Mininode: Reducing the Attack Surface of Node.js Applications}}, author = {Koishybayev, Igibek and Kapravelos, Alexandros}, booktitle = {{Proceedings of the International Symposium on Research in Attacks, Intrusions and Defenses (RAID)}}, year = {2020}} Download Mininode
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