misp-warninglists are lists of well-known indicators that can be associated to potential false positives, errors or mistakes. The warning lists are integrated in MISP to display an info/warning box at the event and attribute level if such indicators are available in one of the list. The list can be globally enabled or disabled in MISP following the practices of the organization.
https://github.com/MISP/misp-warninglistsTags | misp network-forensics dfir false-positive threat-intelligence |
Implementation | Python |
License | Public |
Platform | Windows Linux |
MISP, is an open source software solution for collecting, storing, distributing and sharing cyber security indicators and threat about cyber security incidents analysis and malware analysis. MISP is designed by and for incident analysts, security and ICT professionals or malware reverser to support their day-to-day operations to share structured informations efficiently. The objective of MISP is to foster the sharing of structured information within the security community and abroad. MISP provides functionalities to support the exchange of information but also the consumption of the information by Network Intrusion Detection System (NIDS), LIDS but also log analysis tools, SIEMs.
misp threat-sharing threat-hunting threatintel malware-analysis stix information-exchange fraud-management tip security cti cybersecurity fraud-detection fraud-prevention threat-analysis information-security information-sharing threat-intelligence threat-intelligence-platform intelligenceTheHive is a scalable 3-in-1 open source and free Security Incident Response Platform designed to make life easier for SOCs, CSIRTs, CERTs and any information security practitioner dealing with security incidents that need to be investigated and acted upon swiftly. It is the perfect companion to MISP. You can synchronize it with one or multiple MISP instances to start investigations out of MISP events. You can also export an investigation's results as a MISP event to help your peers detect and react to attacks you've dealt with. Additionally, when TheHive is used in conjunction with Cortex, security analysts and researchers can easily analyze tens if not hundred of observables. Collaboration is at the heart of TheHive. Multiple analysts can work on the same case simultaneously. For example, an analyst may deal with malware analysis while another may work on tracking C2 beaconing activity on proxy logs as soon as IOCs have been added by their coworker. Using TheHive's live stream, everyone can keep an eye on what's happening on the platform, in real time.
misp security-incidents analyzer iocs thehive digital-forensics incident-response rest api investigations analyst dfir free free-software open-source platform misp-events cortex agplv3This repository includes thousands of cybersecurity-related references and resources and it is maintained by Omar Santos. This GitHub repository has been created to provide supplemental material to several books, video courses, and live training created by Omar Santos and other co-authors. It provides over 6,000 references, scripts, tools, code, and other resources that help offensive and defensive security professionals learn and develop new skills. This GitHub repository provides guidance on how build your own hacking environment, learn about offensive security (ethical hacking) techniques, vulnerability research, exploit development, reverse engineering, malware analysis, threat intelligence, threat hunting, digital forensics and incident response (DFIR), includes examples of real-life penetration testing reports, and more. These courses serve as comprehensive guide for any network and security professional who is starting a career in ethical hacking and penetration testing. It also can help individuals preparing for the Offensive Security Certified Professional (OSCP), the Certified Ethical Hacker (CEH), CompTIA PenTest+ and any other ethical hacking certification. This course helps any cyber security professional that want to learn the skills required to becoming a professional ethical hacker or that want to learn more about general hacking methodologies and concepts.
hacking penetration-testing hacking-series video-course cybersecurity ethical-hacking ethicalhacking hacker exploit exploits exploit-development vulnerability vulnerability-scanners vulnerability-assessment vulnerability-management vulnerability-identification awesome-lists awesome-list training hackersDiffy is a digital forensics and incident response (DFIR) tool developed by Netflix's Security Intelligence and Response Team (SIRT). Diffy allows a forensic investigator to quickly scope a compromise across cloud instances during an incident, and triage those instances for followup actions. Diffy is currently focused on Linux instances running within Amazon Web Services (AWS), but owing to our plugin structure, could support multiple platforms and cloud providers.
security dfir forensicsMalcom is a tool designed to analyze a system's network communication using graphical representations of network traffic, and cross-reference them with known malware sources. This comes handy when analyzing how certain malware species try to communicate with the outside world. The aim of Malcom is to make malware analysis and intel gathering faster by providing a human-readable version of network traffic originating from a given host or network. Convert network traffic information to actionable intelligence faster.
malware network-traffic pcap threat-intelligence malware-analysis infosec dfirYeti is a platform meant to organize observables, indicators of compromise, TTPs, and knowledge on threats in a single, unified repository. Yeti will also automatically enrich observables (e.g. resolve domains, geolocate IPs) so that you don't have to. Yeti provides an interface for humans (shiny Bootstrap-based UI) and one for machines (web API) so that your other tools can talk nicely to it. Yeti was born out of frustration of having to answer the question "where have I seen this artifact before?" or Googling shady domains to tie them to a malware family.
infosec threatintel threat-sharing threat-hunting enrichment intelligence dfirHere are indicators of compromise (IOCs) of our various investigations. We are doing this to help the broader security community fight malware wherever it might be. If you would like to contribute improved versions please send us a pull request.
ioc malware misp yaraThe Threat Hunter Playbook is a community-based open source project developed to share threat hunting concepts and aid the development of techniques and hypothesis for hunting campaigns by leveraging security event logs from diverse operating systems. This project provides not only information about detections, but also other very important activites when developing analytics such as data documentation, data modeling and even data quality assessments. In addition, the analytics shared in this project represent specific chains of events exclusively at the host and network level and in a SQL-like format so that you can take them and apply the logic in your preferred tool or query format. The analytics provided in this repo also follow the structure of MITRE ATT&CK categorizing post-compromise adversary behavior in tactical groups.
dfir sysmon threat-hunting hunting hunter mitre hypothesis hunting-campaigns mitre-attack-dbThe signature-base repository is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This signature-base is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICLAR PURPOSE. See the GNU General Public License for more details.
signature yara-rules ioc scanner yara anti-virus hash threat-hunting threat-intelligence dfirCuckoo filter is a Bloom filter replacement for approximated set-membership queries. Cuckoo filters support adding and removing items dynamically while achieving even higher performance than Bloom filters. For applications that store many items and target moderately low false positive rates, cuckoo filters have lower space overhead than space-optimized Bloom filters. Some possible use-cases that depend on approximated set-membership queries would be databases, caches, routers, and storage systems where it is used to decide if a given item is in a (usually large) set, with some small false positive probability. Alternatively, given it is designed to be a viable replacement to Bloom filters, it can also be used to reduce the space required in probabilistic routing tables, speed longest-prefix matching for IP addresses, improve network state management and monitoring, and encode multicast forwarding information in packets, among many other applications. Cuckoo filters provide the flexibility to add and remove items dynamically. A cuckoo filter is based on cuckoo hashing (and therefore named as cuckoo filter). It is essentially a cuckoo hash table storing each key's fingerprint. Cuckoo hash tables can be highly compact, thus a cuckoo filter could use less space than conventional Bloom filters, for applications that require low false positive rates (< 3%).
cuckoo-filter bloom-filter filterUsing Oracle Virtualbox as the virtualisation software running from a Windows 10 physical host, will cause issues with the Docker install. There is currently no workaround other than using VMware Player or VMware Workstation.
data-science intelligence analytics virtual-machine malware threat cyber fireeye intelligence-analysis mandiant threatintelligence threathuntingBrought to you by Active Countermeasures. RITA is an open source framework for network traffic analysis.
rita network-traffic threat scanning offensive-countermeasures bro-ids blueteam security logs analytics analysis bhis beacon beacon-sniffer dns dns-tunneling dgaJoy is a BSD-licensed libpcap-based software package for extracting data features from live network traffic or packet capture (pcap) files, using a flow-oriented model similar to that of IPFIX or Netflow, and then representing these data features in JSON. It also contains analysis tools that can be applied to these data files. Joy can be used to explore data at scale, especially security and threat-relevant data. JSON is used in order to make the output easily consumable by data analysis tools. While the JSON output files are somewhat verbose, they are reasonably small, and they respond well to compression.
A concise definition of Threat Intelligence: evidence-based knowledge, including context, mechanisms, indicators, implications and actionable advice, about an existing or emerging menace or hazard to assets that can be used to inform decisions regarding the subject’s response to that menace or hazard. Feel free to contribute.
security awesomeThe GOSINT framework is a project used for collecting, processing, and exporting high quality indicators of compromise (IOCs). GOSINT allows a security analyst to collect and standardize structured and unstructured threat intelligence. Applying threat intelligence to security operations enriches alert data with additional confidence, context, and co-occurrence. This means that you apply research from third parties to security event data to identify similar, or identical, indicators of malicious behavior. The framework is written in Go with a JavaScript frontend. Updating is simple and encouraged as bugs are reported and fixed or new features are added. To update your instance of GOSINT, pull the latest version of GOSINT from the repository and re-run the build command to compile the updated binary.
security ioc threat-intelligenceA Threat hunter's playbook to aid the development of techniques and hypothesis for hunting campaigns by leveraging Sysmon and Windows Events logs. This project will provide specific chains of events exclusively at the host level so that you can take them and develop logic to deploy queries or alerts in your preferred tool or format such as Splunk, ELK, Sigma, GrayLog etc. This repo will follow the structure of the MITRE ATT&CK framework which categorizes post-compromise adversary behavior in tactical groups. In addition, it will provide information about hunting tools/platforms developed by the infosec community for testing and enterprise-wide hunting.Can't wait to see other hunters' pull requests with awesome ideas to detect advanced patterns of behavior. The more chains of events you contribute the better this playbook will be for the community.
threat-hunting sysmon hunting-campaigns hypothesis hunting dfir hunter mitre-attack-db mitreThis lab has been designed with defenders in mind. Its primary purpose is to allow the user to quickly build a Windows domain that comes pre-loaded with security tooling and some best practices when it comes to system logging configurations. It can easily be modified to fit most needs or expanded to include additional hosts.NOTE: This lab has not been hardened in any way and runs with default vagrant credentials. Please do not connect or bridge it to any networks you care about. This lab is deliberately designed to be insecure; the primary purpose of it is to provide visibility and introspection into each host.
vagrant vagrantfile packer information-security lab-environment dfir threat-detection threat-hunting threat huntingA Bloom filter is a data structure that may report it contains an item that it does not (a false positive), but is guaranteed to report correctly if it contains the item ("no false negatives"). The opposite of a Bloom filter is a data structure that may report a false negative, but can never report a false positive. That is, it may claim that it has not seen an item when it has, but will never claim to have seen an item it has not.This repository contains thread-safe implementations of "the opposite of a Bloom filter" in Java and Go.
OWASP Xenotix XSS Exploit Framework is an advanced Cross Site Scripting (XSS) vulnerability detection and exploitation framework. It provides Zero False Positive scan results with its unique Triple Browser Engine (Trident, WebKit, and Gecko) embedded scanner. It is claimed to have the world’s 2nd largest XSS Payloads of about 1500+ distinctive XSS Payloads for effective XSS vulnerability detection and WAF Bypass. It is incorporated with a feature rich Information Gathering module for target Reconnaissance. The Exploit Framework includes highly offensive XSS exploitation modules for Penetration Testing and Proof of Concept creation. Antivirus Solutions may detect it as a threat. However it is due to the features in the exploitation framework.
xss exploitation-framework xss-scanner xenotix xss-exploitation xss-detection dom-xssA curated list of awesome malware analysis tools and resources. Inspired by awesome-python and awesome-php. View Chinese translation: 恶意软件分析大合集.md.
malware-analysis awesome awesome-list list malware-samples analysis-framework dynamic-analysis static-analysis threat-intelligence automated-analysis domain-analysis network-traffic threatintel malware-collection malware-research threat-sharing chinese-translation chinese
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