ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.08517
  4. Cited By
Characterizing Improper Input Validation Vulnerabilities of Mobile
  Crowdsourcing Services

Characterizing Improper Input Validation Vulnerabilities of Mobile Crowdsourcing Services

16 October 2021
Sojhal Ismail Khan
Dominika Woszczyk
Chengzeng You
Soteris Demetriou
Muhammad Naveed
ArXivPDFHTML

Papers citing "Characterizing Improper Input Validation Vulnerabilities of Mobile Crowdsourcing Services"

1 / 1 papers shown
Title
Artemis: Toward Accurate Detection of Server-Side Request Forgeries through LLM-Assisted Inter-Procedural Path-Sensitive Taint Analysis
Artemis: Toward Accurate Detection of Server-Side Request Forgeries through LLM-Assisted Inter-Procedural Path-Sensitive Taint Analysis
Yuchen Ji
Ting Dai
Zhichao Zhou
Yutian Tang
Jingzhu He
52
0
0
28 Feb 2025
1