📄️ Classification
Explains ReversingLabs' classification algorithm, detailing how files are categorized into four groups: no threats found, known (goodware), suspicious, and malicious. Explains the concept of risk scores, which represent the trustworthiness or malicious severity of a sample.
📄️ Firewall and network connections
Spectra Appliances
📄️ ReversingLabs malware naming standard
Outlines the standardized naming conventions used by ReversingLabs to identify and classify malware, ensuring consistency and clarity in threat reporting.
📄️ OAuth 2.0 / OpenID Connect
Provides an overview of the OAuth 2.0 and OpenID Connect protocols, explaining their roles in authentication and authorization processes within ReversingLabs products.
📄️ Virtual Appliance Platform Requirements
Provides detailed hardware and performance specifications for all available product profiles and appliances.
📄️ Privacy
Details ReversingLabs' approach to data privacy, including policies and practices implemented to protect user information and ensure compliance with relevant regulations.
📄️ Risk score table
Presents a detailed table correlating classifications, trust factors, threat levels, and risk scores, offering insights into how risk assessments are quantified.
📄️ SAML
Discusses the Security Assertion Markup Language (SAML) standard and its application in facilitating single sign-on (SSO) and other security assertions within ReversingLabs solutions.
🗃️ Spectra Core
14 items
📄️ YARA and Spectra Core
Explores the integration of YARA, a tool for pattern matching, with Spectra Core, detailing how custom rules can be utilized to identify and classify files based on specific patterns.