Scan Me If You Can: Understanding and Detecting Unwanted Vulnerability Scanning-Reference-Cited by-同舟云学术

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Scan Me If You Can: Understanding and Detecting Unwanted Vulnerability Scanning

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2023
language:
Short-container-title:

Author:

Li Xigao¹^ORCID,Amin Azad Babak¹^ORCID,Rahmati Amir¹^ORCID,Nikiforakis Nick¹^ORCID

Affiliation:

1. Computer Science, Stony Brook University, USA

Funder

NSF (National Science Foundation)

Office of Naval Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543507.3583394

Reference44 articles.

1. 2022. Acunetix online scanner. https://www.acunetix.com/online-vulnerability-scanner/. 2022. Acunetix online scanner. https://www.acunetix.com/online-vulnerability-scanner/.

2. 2022. Tenable cloud web scanner. https://www.tenable.com/products/tenable-io. 2022. Tenable cloud web scanner. https://www.tenable.com/products/tenable-io.

3. apachebench 2022. AB - Apache HTTP server benchmarking tool. https://httpd.apache.org/docs/2.4/programs/ab.html. apachebench 2022. AB - Apache HTTP server benchmarking tool. https://httpd.apache.org/docs/2.4/programs/ab.html.

4. arachni 2022. Arachni Web Application Security Scanner Framework. https://www.arachni-scanner.com/. arachni 2022. Arachni Web Application Security Scanner Framework. https://www.arachni-scanner.com/.

5. One Technique is Not Enough: A Comparison of Vulnerability Discovery Techniques

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