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CPGHunter: LLM-guided semantic modeling for scalable vulnerability detection via taint analysis

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Published in:EMSE
Format: Online Article RSS Article
Published: 2026
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discipline_display Technology & Engineering
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institution FRELIP
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publishDate 2026
publishDateSort 2026
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spellingShingle CPGHunter: LLM-guided semantic modeling for scalable vulnerability detection via taint analysis
Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
subject_facet Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
title CPGHunter: LLM-guided semantic modeling for scalable vulnerability detection via taint analysis
title_auth CPGHunter: LLM-guided semantic modeling for scalable vulnerability detection via taint analysis
title_full CPGHunter: LLM-guided semantic modeling for scalable vulnerability detection via taint analysis
title_fullStr CPGHunter: LLM-guided semantic modeling for scalable vulnerability detection via taint analysis
title_full_unstemmed CPGHunter: LLM-guided semantic modeling for scalable vulnerability detection via taint analysis
title_short CPGHunter: LLM-guided semantic modeling for scalable vulnerability detection via taint analysis
title_sort cpghunter: llm-guided semantic modeling for scalable vulnerability detection via taint analysis
topic Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1007/s10664-026-10842-2