{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T23:16:01Z","timestamp":1778109361337,"version":"3.51.4"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032174420","type":"print"},{"value":"9783032174437","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-17443-7_12","type":"book-chapter","created":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T22:56:58Z","timestamp":1778108218000},"page":"197-212","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Evaluating the\u00a0Efficacy of\u00a0Large Language Models for\u00a0Automated Vulnerable Code Generation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9670-0295","authenticated-orcid":false,"given":"Or\u00e7un","family":"\u00c7etin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5473-3267","authenticated-orcid":false,"given":"Nazl\u0131","family":"B\u0131y\u0131kl\u0131","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,5,1]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Akuthota, V., Kasula, R., Sumona, S.T., Mohiuddin, M., Reza, M.T., Rahman, M.M.: Vulnerability detection and monitoring using LLM. In: 2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), pp. 309\u2013314. IEEE (2023)","DOI":"10.1109\/WIECON-ECE60392.2023.10456393"},{"issue":"9","key":"12_CR2","first-page":"1163","volume":"30","author":"O \u00c7etin","year":"2024","unstructured":"\u00c7etin, O., Ekmekcioglu, E., Arief, B., Hernandez-Castro, J.: An empirical evaluation of large language models in static code analysis for PHP vulnerability detection. J. Univ. Comput. Sci. 30(9), 1163\u20131183 (2024)","journal-title":"J. Univ. Comput. Sci."},{"key":"12_CR3","unstructured":"Daneshvar, S.S., Nong, Y., Yang, X., Wang, S., Cai, H.: Exploring rag-based vulnerability augmentation with LLMs. arXiv preprint arXiv:2408.04125 (2024)"},{"key":"12_CR4","unstructured":"DeepSeek: DeepSeek-R1 release (2025). https:\/\/api-docs.deepseek.com\/news\/news250120"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Jovanovic, N., Kruegel, C., Kirda, E.: Pixy: a static analysis tool for detecting web application vulnerabilities. In: 2006 IEEE Symposium on Security and Privacy (S&P 2006), p. 6. IEEE (2006)","DOI":"10.1109\/SP.2006.29"},{"key":"12_CR6","unstructured":"Li, Z., Dutta, S., Naik, M.: LLM-assisted static analysis for detecting security vulnerabilities. arXiv preprint arXiv:2405.17238 (2024)"},{"key":"12_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2024.112031","volume":"212","author":"G Lu","year":"2024","unstructured":"Lu, G., Ju, X., Chen, X., Pei, W., Cai, Z.: Grace: empowering LLM-based software vulnerability detection with graph structure and in-context learning. J. Syst. Softw. 212, 112031 (2024)","journal-title":"J. Syst. Softw."},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Nong, Y., Ou, Y., Pradel, M., Chen, F., Cai, H.: VULGEN: realistic vulnerability generation via pattern mining and deep learning. In: 2023 IEEE\/ACM 45th International Conference on Software Engineering (ICSE), pp. 2527\u20132539. IEEE (2023)","DOI":"10.1109\/ICSE48619.2023.00211"},{"key":"12_CR9","unstructured":"OpenAI: Hello GPT-4O (2024). https:\/\/openai.com\/index\/hello-gpt-4o\/"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Ozturk, O.S., Ekmekcioglu, E., Cetin, O., Arief, B., Hernandez-Castro, J.: New tricks to old codes: can AI chatbots replace static code analysis tools? In: Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, pp. 13\u201318 (2023)","DOI":"10.1145\/3590777.3590780"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Panichella, S.: Vulnerabilities introduced by LLMs through code suggestions. In: Large Language Models in Cybersecurity: Threats, Exposure and Mitigation, pp. 87\u201397. Springer Nature, Cham, Switzerland (2024)","DOI":"10.1007\/978-3-031-54827-7_9"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Rafique, S., Humayun, M., Hamid, B., Abbas, A., Akhtar, M., Iqbal, K.: Web application security vulnerabilities detection approaches: a systematic mapping study. In: 2015 IEEE\/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel\/Distributed Computing (SNPD), pp.\u00a01\u20136. IEEE (2015)","DOI":"10.1109\/SNPD.2015.7176244"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"T\u00f3th, R., Bisztray, T., Erd\u0151di, L.: LLMs in web development: evaluating LLM-generated PHP code unveiling vulnerabilities and limitations. In: International Conference on Computer Safety, Reliability, and Security, pp. 425\u2013437. Springer (2024)","DOI":"10.1007\/978-3-031-68738-9_34"},{"key":"12_CR14","unstructured":"Wu, F., Liu, X., Xiao, C.: DeceptPrompt: exploiting LLM-driven code generation via adversarial natural language instructions. arXiv preprint arXiv:2312.04730 (2023)"},{"key":"12_CR15","unstructured":"xAI: Grok-2 beta release (2024). https:\/\/x.ai\/news\/grok-2"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Y\u0131ld\u0131r\u0131m, R., Ayd\u0131n, K., \u00c7etin, O.: Evaluating the impact of conventional code analysis against large language models in API vulnerability detection. In: European Interdisciplinary Cybersecurity Conference, pp. 57\u201364 (2024)","DOI":"10.1145\/3655693.3655701"}],"container-title":["Lecture Notes in Computer Science","Innovative Security Solutions for Information Technology and Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-17443-7_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T22:57:07Z","timestamp":1778108227000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-17443-7_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032174420","9783032174437"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-17443-7_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"1 May 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SecITC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information Technology and Communications Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bucharest","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Romania","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"itc2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/secitc.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}