This is a file share allowing access to all Sysinternals utilities. We have developed this to test an alternate distribution mechanism for our utilities. This will allow you to run these tools from any computer connected to the Internet without having to navigate to a webpage, download and extract the zip file. If you are unfamiliar with Microsoft Windows Sysinternals, it is highly recommended that you visit the website at http://technet.microsoft.com/sysinternals before using these tools. If you have any questions or comments on this file share, please email syssite@microsoft.com

Robtex uses various sources to gather public information about IP numbers, domain names, host names, Autonomous systems, routes etc. It then indexes the data in a big database and provide free access to the data.

We aim to make the fastest and most comprehensive free DNS lookup tool on the Internet.

Our database now contains billions of documents of internet data collected over more than a decade.

A Search Engine for Threats

Windows forensic and other free tools by Forensics, Programming, X-Ways. Certified SANS instructor.

Machine learning has seen a remarkable rate of adoption in recent years across a broad spectrum of industries and applications. Many applications of machine learning techniques are adversarial in nature, insofar as the goal is to distinguish instances which are bad'' from those which aregood''. Indeed, adversarial use goes well beyond this simple classification example: forensic analysis of malware which incorporates clustering, anomaly detection, and even vision systems in autonomous vehicles could all potentially be subject to attacks. In response to these concerns, there is an emerging literature on adversarial machine learning, which spans both the analysis of vulnerabilities in machine learning algorithms, and algorithmic techniques which yield more robust learning.

Nous partageons les données qui révèlent comment les règles et les actions des autorités administratives et des entreprises affectent la confidentialité, la sécurité et l'accès aux informations.

MITRE’s Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK™) is a curated knowledge base and model for cyber adversary behavior, reflecting the various phases of an adversary’s lifecycle and the platforms they are known to target. ATT&CK is useful for understanding security risk against known adversary behavior, for planning security improvements, and verifying defenses work as expected.

Note: A MITRE Partnership Network (MPN) account is not required to view and use the ATT&CK site.

Joe Sandbox detects and analyzes potential malicious files and URLs on Windows, Android, Mac OS, Linux, and iOS for suspicious activities. It performs deep malware analysis and generates comprehensive and detailed analysis reports. This website gives you access to the Community Edition of Joe Sandbox Cloud. It allows you to run a maximum of 30 analyses / month, 3 analyses / day on Windows, Linux and Android with limited analysis output.

Moteur de recherche des thèses de doctorat françaises, le site theses.fr a pour objet de donner sur le web un point d’entrée :

à toutes les thèses de doctorat en cours de préparation en France
à toutes les thèses de doctorat soutenues en France, quel que soit le support matériel de la thèse (document papier, numérique, édition commerciale…)
aux personnes et organismes en lien avec ces thèses.