📄️ Antivirus Result Availability
Learn how long it typically takes for antivirus results to appear after uploading or rescanning a sample.
📄️ Certificate Revocation
Learn how ReversingLabs tracks and adjusts certificate revocation dates, and how this affects sample classification and search results.
📄️ 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.
📄️ Handling False Positives
How ReversingLabs identifies and corrects false positives reported by customers.
📄️ ReversingLabs malware naming standard
Outlines the standardized naming conventions used by ReversingLabs to identify and classify malware, ensuring consistency and clarity in threat reporting.
📄️ Risk score reference table
Presents a detailed table correlating classifications, trust factors, threat levels, and risk scores, offering insights into how risk assessments are quantified.
📄️ How Spectra Core analysis works
Learn how the Spectra Core analysis process works and what happens with files and samples in each of the analysis steps.
📄️ Spectra Intelligence Detection Rate
Understand the common causes of a low detection rate in Spectra Intelligence and how to address them.
📄️ Static Analysis Rescans
Understand when static analysis rescans happen in ReversingLabs products and how to trigger them if needed.
📄️ 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.