AntiVirus Basics - Signatures Based Detection

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  • čas přidán 8. 07. 2024
  • In this video, we'll explore one of the fundamental methods used by antivirus software to detect and prevent malware: signatures based detection. Signatures are unique patterns or sequences of code that are characteristic of specific types of malware. Antivirus software uses these signatures to identify and remove known malware from a system. We'll discuss how signatures are created, how they are used to detect malware, and the limitations of this approach.
    Links:
    virustotal.com
    Warning:
    The information and content provided in this video are for general information and educational purposes only. While I make every effort to ensure the accuracy, reliability, and timeliness of the information presented, I make no statement, representation, warranty, or guarantee of any kind, express or implied, as to the completeness or accuracy of the information and content provided. I assume no responsibility or liability for any direct or indirect loss or damage (whether in tort, contract, or otherwise) that may be incurred by any person in connection with the use or reliance on any information or content presented in this video, including any third-party websites accessed through hyperlinks. It is your responsibility to conduct your own research and verify the accuracy and legality of any information provided. This video does not constitute legal, financial, or professional advice, and any actions taken based on the information provided are at your own risk. Before taking any actions, please consult with the relevant authorities to ensure compliance with applicable laws and regulations.
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  • Věda a technologie

Komentáře • 4

  • @frenktalks4502
    @frenktalks4502 Před rokem +2

    Thanks Tom, great video 👍 looking for more cyber security videos

    • @TomBH
      @TomBH  Před 2 měsíci

      Thank you for your support!

  • @princesstoya1073
    @princesstoya1073 Před rokem +2

    Thank you

    • @TomBH
      @TomBH  Před 2 měsíci

      Thank you for watching!