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Detecting Vulnerabilities Using Open-Source Intelligence

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Hybrid Intelligent Systems (HIS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 420))

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Abstract

Reconnaissance is the first phase of the cyber-death chain. In this project, we aim to identify and gather all possible information about the target using passive reconnaissance. In this method, the scanner's IP address should not be tagged in the victim's server. Several tools such as theHarvester, Metagoofil, Nmap, Nessus, Hunter IO, and Sublister3r were used to figure out the workflow of reconnaissance. Based on the survey a Python tool named OSILIZER was designed to embed the basic reconnaissance needed for an organization to gather critical information about the target domain.

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References

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Author information

Authors and Affiliations

  1. Vellore Institute of Technology, Chennai, India

    S. Jai Balaji & A. Karmel

Authors
  1. S. Jai Balaji
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  2. A. Karmel
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Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Campus Centre de Créteil, Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

  3. Department of Computer Science, Università degli Studi di Milano, Milan, Milano, Italy

    Vincenzo Piuri

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  5. University of Bari, Bari, Italy

    Gabriella Casalino

  6. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  7. Ontario Tech University, Oshawa, ON, Canada

    Patrick Hung

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Balaji, S.J., Karmel, A. (2022). Detecting Vulnerabilities Using Open-Source Intelligence. In: Abraham, A., et al. Hybrid Intelligent Systems. HIS 2021. Lecture Notes in Networks and Systems, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-030-96305-7_49

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