👾Understanding How Antiviruses work

Understanding Antivirus False Positives

Antivirus programs like Windows Defender utilize various methods to identify potential threats, aiming to protect users from malicious software. These methods include signature-based detection, behavior analysis, and heuristic scanning.

Signature-based Detection: Antivirus software maintains a database of known malware signatures. When a file matches one of these signatures, it's flagged as malicious. However, if a file lacks a recognized signature, it might still be flagged erroneously.

Behavior Analysis: Antivirus programs monitor the behavior of applications in real-time. If an application behaves in a manner consistent with malware, it may be flagged, even if it doesn't match any known signatures. However, legitimate applications with unusual behavior can also trigger false alarms.

Heuristic Scanning: This technique involves analyzing the code of an application for suspicious characteristics. While effective in detecting previously unknown threats, it can also produce false positives by misinterpreting legitimate code as malicious.

In the case of Nezur AI, false positives occur because it lacks the formal digital signatures typically associated with established companies. Without these signatures, antivirus programs may mistakenly flag Nezur as malware, despite its benign nature. This highlights the challenge faced by smaller developers in obtaining the necessary endorsements to avoid false accusations by antivirus software.