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🛡 Signature or Behavior
Comparison of Two Malware Detection Mechanisms

Concept: It is based on comparing suspicious items to databases containing digital "fingerprints" of previous threat identifiers (IoCs). These fingerprints include file hashes (MD5, SHA256), specific text strings, C2 addresses, registry keys, etc.
Advantages:
- 🗣 High performance: Provides immediate response against known threats.
- 🗣 Resource efficient: Does not require extensive processing or in-depth analysis.
- 🗣 Low false alarm rate: Due to its reliance on exact matching.
- 🗣 High performance: Provides immediate response against known threats.
Restrictions:
- 🗣 Ineffective against new threats: Cannot detect zero-day threats or polymorphic malware.
- 🗣 Requires constant updates: Its effectiveness decreases without immediate signature updates.
- 🗣 Limited context: Provides only superficial information about the threat nature.
- 🗣 Ineffective against new threats: Cannot detect zero-day threats or polymorphic malware.
Example: A virus like ILOVEYOU is detected as it spreads because of its known script signature.

Concept: It relies on monitoring the dynamic activities of software within a system or sandbox environment to detect unusual or suspicious patterns.
Advantages:
- 🗣 Ability to detect unknown threats: Includes zero-day threats, fileless malware, and advanced persistent threats (APTs).
- 🗣 In-depth context analysis: Allows understanding of attack sequences and strategies (TTPs based on MITRE ATT&CK).
- 🗣 Ability to detect unknown threats: Includes zero-day threats, fileless malware, and advanced persistent threats (APTs).
Restrictions:
- 🗣 Relatively high false alarm rate: Requires fine calibration to avoid false positives.
- 🗣 High resource consumption: Due to the need for continuous monitoring and analysis of process behavior.
- 🗣 Relatively high false alarm rate: Requires fine calibration to avoid false positives.
Example: Detect unknown ransomware by observing its accelerated attempts to encrypt files without a prior signature.

Neither approach alone is sufficient to combat modern cyber threats. Signature-based detection provides a first line of defense against known threats, while behavioral analysis offers deep insight and detection of unknown threats.
Thus, advanced security solutions such as EDR (Endpoint Detection and Response) and NGAV (Next-Gen Antivirus) combine both methods, creating a comprehensive, layered security strategy.


