15 docs tagged with "concepts"

Understanding and resolving file analysis timeout issues in ReversingLabs products.

Learn how long it typically takes for antivirus results to appear after uploading or rescanning a sample.

Learn how ReversingLabs tracks and adjusts certificate revocation dates, and how this affects sample classification and search results.

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.

Compare file analysis approaches: hash reputation lookup, full static analysis, and sandbox execution. Understand speed and depth tradeoffs and which ReversingLabs products use each approach.

Definitions of key terms, concepts, and product names used across ReversingLabs documentation and threat intelligence workflows.

How ReversingLabs identifies and corrects false positives reported by customers.

Learn how the Spectra Core analysis process works and what happens with files and samples in each of the analysis steps.

Details ReversingLabs' approach to data privacy, including policies and practices implemented to protect user information and ensure compliance with relevant regulations.

Outlines the standardized naming conventions used by ReversingLabs to identify and classify malware, ensuring consistency and clarity in threat reporting.

Compare Spectra Analyze and Spectra Intelligence: deployment models, use cases, API vs. UI access, and when to use each product or both together.

Understand the common causes of a low detection rate in Spectra Intelligence and how to address them.

Understand when static analysis rescans happen in ReversingLabs products and how to trigger them if needed.

Compare static and dynamic file analysis approaches: how each works, their strengths and limitations, and how ReversingLabs products combine both for comprehensive threat detection.

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.