Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60624

Reverse Engineering Web Vulnerability Scanners for Automated Vulnerability Discovery and Scan Detection

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60624

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM60624

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

JJS

J. Juslin Sega

SPG

Siva Prasad G

YB

Yagneswar B

CM

Chatrapathi M

Author Services & Downloads

Full Articles

Abstract

This paper examines the continued vulnerability of modern web applications to automated reconnaissance and vulnerability scanning, and it points out the inadequacy of conventional security analysis in comprehensively grasping both offensive and defensive dynamics. The paper proposes GUARDSCANNER V2, a black-box reverse-engineering and logic discovery tool for comprehensive web application analysis. It enables the identification of the technology stack, analysis of both client-side and server-side artifacts, and extensive web crawling for comprehensive vulnerability scanning. The tool also includes specific attack modules for SQL Injection, Cross-Site Scripting (XSS), Command Injection, Open Redirect, Path Traversal, and Sensitive File Disclosure attacks. In addition to automated vulnerability scanning, the strategy also involves a lightweight application- layer scan detection and defense mechanism that can be integrated into any web application backend. The module identifies any unauthorized automated scanning activity through behavioral and payload analysis, records malicious activities, notifies administrators, and has the capability to temporarily block IP addresses if set, thus protecting against aggressive web application reconnaissance. Experimental results obtained from vulnerable web applications verify the practicability of integrating reverse-engineered web application reconnaissance, automated vulnerability scanning, and real-time scan detection into a single security framework.

KEYWORDS

Reverse Engineering Web Vulnerability Scanner Black-Box Reconnaissance OWASP Top 10 Scan Detection Application-Layer Defense

Cite This Article

J. Juslin Sega, Siva Prasad G, Yagneswar B, Chatrapathi M, "Reverse Engineering Web Vulnerability Scanners for Automated Vulnerability Discovery and Scan Detection," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM60624

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

4/19/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

1

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...