Search Results for "unknown"

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, URL, IP address (e.g. 185.130.5.231 for the 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 the discovery of unknown threats (e.g. new malware). 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).

...The repository serves as an archive and reference for security researchers, documenting the exploit frameworks, implants, and utilities that were allegedly used by a highly sophisticated threat actor. The tools include network exploitation scripts, backdoors, and frameworks targeting a range of platforms and services, many of which highlight previously unknown vulnerabilities. While the repository itself is provided for educational and research purposes, it also reflects a significant historical moment in cybersecurity, influencing both defensive strategies and awareness of advanced persistent threats. The release offers researchers insight into real-world offensive techniques, though many of the specific exploits are now outdated or patched. ...

Adobe Malware Classifier is a command-line tool that lets antivirus analysts, IT administrators, and security researchers quickly and easily determine if a binary file contains malware, so they can develop malware detection signatures faster, reducing the time in which users' systems are vulnerable. Malware Classifier uses machine learning algorithms to classify Win32 binaries – EXEs and DLLs – into three classes: 0 for “clean,” 1 for “malicious,” or “UNKNOWN.” The tool was developed using models resultant from running the J48, J48 Graft, PART, and Ridor machine-learning algorithms on a dataset of approximately 100,000 malicious programs and 16,000 clean programs. The tool extracts seven key features from an unknown binary, feeds them to one of the four classifiers or all of them, and presents its classification of the unknown binary.

Phormat is a dataset format analysis tool to aid in the understanding and comprehension of unknown or undocumented file and protocol formats.

PyIDS is an intrusion detection system whose aim is to provide concise information to administrators about some parts of the system i.e filesystem checksums, unknown connections to the machine, access control lists of special files, log revision...