Jailbreaking Generative AI: Empowering Novices to Conduct Phishing Attacks
Fuente:
arXiv
Guardado en:
| Autores principales: | Mishra, Rina, Varshney, Gaurav, Singh, Shreya |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Jailbreaking Generative AI: Multivector Phishing Threats and Transformer based Defenses
por: Mishra, Rina, et al.
Publicado: (2025)
por: Mishra, Rina, et al.
Publicado: (2025)
A Study of Effectiveness of Brand Domain Identification Features for Phishing Detection in 2025
por: Mishra, Rina, et al.
Publicado: (2025)
por: Mishra, Rina, et al.
Publicado: (2025)
GuardPhish: Securing Open-Source LLMs from Phishing Abuse
por: Mishra, Rina, et al.
Publicado: (2026)
por: Mishra, Rina, et al.
Publicado: (2026)
A Login Page Transparency and Visual Similarity Based Zero Day Phishing Defense Protocol
por: Varshney, Gaurav, et al.
Publicado: (2025)
por: Varshney, Gaurav, et al.
Publicado: (2025)
A Study on Malicious Browser Extensions in 2025
por: Singh, Shreya, et al.
Publicado: (2025)
por: Singh, Shreya, et al.
Publicado: (2025)
A Passwordless MFA Utlizing Biometrics, Proximity and Contactless Communication
por: Shukla, Sneha, et al.
Publicado: (2024)
por: Shukla, Sneha, et al.
Publicado: (2024)
Next Generation of Phishing Attacks using AI powered Browsers
por: Arun, Akshaya, et al.
Publicado: (2024)
por: Arun, Akshaya, et al.
Publicado: (2024)
EIP-7702 Phishing Attack
por: Qi, Minfeng, et al.
Publicado: (2025)
por: Qi, Minfeng, et al.
Publicado: (2025)
Privacy Aware Memory Forensics
por: Kalikiri, Janardhan, et al.
Publicado: (2024)
por: Kalikiri, Janardhan, et al.
Publicado: (2024)
Context-Aware Spear Phishing: Generative AI-Enabled Attacks Against Individuals via Public Social Media Data
por: Vafa, Elham Pourabbas, et al.
Publicado: (2026)
por: Vafa, Elham Pourabbas, et al.
Publicado: (2026)
Next-Generation Phishing: How LLM Agents Empower Cyber Attackers
por: Afane, Khalifa, et al.
Publicado: (2024)
por: Afane, Khalifa, et al.
Publicado: (2024)
Registration, Detection, and Deregistration: Analyzing DNS Abuse for Phishing Attacks
por: Lim, Kyungchan, et al.
Publicado: (2025)
por: Lim, Kyungchan, et al.
Publicado: (2025)
JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution Shift
por: Piet, Julien, et al.
Publicado: (2025)
por: Piet, Julien, et al.
Publicado: (2025)
Improving Phishing Resilience with AI-Generated Training: Evidence on Prompting, Personalization, and Duration
por: Greco, Francesco, et al.
Publicado: (2025)
por: Greco, Francesco, et al.
Publicado: (2025)
PolyJailbreak: Cross-Modal Jailbreaking Attacks on Black-Box Multimodal LLMs
por: Wang, Xinkai, et al.
Publicado: (2025)
por: Wang, Xinkai, et al.
Publicado: (2025)
AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens
por: Lu, Lin, et al.
Publicado: (2024)
por: Lu, Lin, et al.
Publicado: (2024)
Talking Like a Phisher: LLM-Based Attacks on Voice Phishing Classifiers
por: Li, Wenhao, et al.
Publicado: (2025)
por: Li, Wenhao, et al.
Publicado: (2025)
Seeing is (Not) Believing: Practical Phishing Attacks Targeting Social Media Sharing Cards
por: Huang, Wangchenlu, et al.
Publicado: (2024)
por: Huang, Wangchenlu, et al.
Publicado: (2024)
PhishIntentionLLM: Uncovering Phishing Website Intentions through Multi-Agent Retrieval-Augmented Generation
por: Li, Wenhao, et al.
Publicado: (2025)
por: Li, Wenhao, et al.
Publicado: (2025)
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models
por: Chen, Fengchao, et al.
Publicado: (2024)
por: Chen, Fengchao, et al.
Publicado: (2024)
Phishing Codebook: A Structured Framework for the Characterization of Phishing Emails
por: Saka, Tarini, et al.
Publicado: (2024)
por: Saka, Tarini, et al.
Publicado: (2024)
Untargeted Jailbreak Attack
por: Huang, Xinzhe, et al.
Publicado: (2025)
por: Huang, Xinzhe, et al.
Publicado: (2025)
Clouding the Mirror: Stealthy Prompt Injection Attacks Targeting LLM-based Phishing Detection
por: Koide, Takashi, et al.
Publicado: (2026)
por: Koide, Takashi, et al.
Publicado: (2026)
With Trail to Follow: Measurements of Real-world Non-fungible Token Phishing Attacks on Ethereum
por: Yang, Jingjing, et al.
Publicado: (2023)
por: Yang, Jingjing, et al.
Publicado: (2023)
Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses
por: Zhong, Xingwei, et al.
Publicado: (2025)
por: Zhong, Xingwei, et al.
Publicado: (2025)
Bridging the Gap in Phishing Detection: A Comprehensive Phishing Dataset Collector
por: Kulkarni, Aditya, et al.
Publicado: (2025)
por: Kulkarni, Aditya, et al.
Publicado: (2025)
PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection
por: Li, Wenhao, et al.
Publicado: (2025)
por: Li, Wenhao, et al.
Publicado: (2025)
PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection
por: Cao, Tri, et al.
Publicado: (2024)
por: Cao, Tri, et al.
Publicado: (2024)
PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection
por: Li, Yuexin, et al.
Publicado: (2024)
por: Li, Yuexin, et al.
Publicado: (2024)
From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks
por: Kulkarni, Aditya, et al.
Publicado: (2024)
por: Kulkarni, Aditya, et al.
Publicado: (2024)
PhishingHook: Catching Phishing Ethereum Smart Contracts leveraging EVM Opcodes
por: De Rosa, Pasquale, et al.
Publicado: (2025)
por: De Rosa, Pasquale, et al.
Publicado: (2025)
PhishDebate: An LLM-Based Multi-Agent Framework for Phishing Website Detection
por: Li, Wenhao, et al.
Publicado: (2025)
por: Li, Wenhao, et al.
Publicado: (2025)
PhishLumos: An Adaptive Multi-Agent System for Proactive Phishing Campaign Mitigation
por: Chiba, Daiki, et al.
Publicado: (2025)
por: Chiba, Daiki, et al.
Publicado: (2025)
PhishParrot: LLM-Driven Adaptive Crawling to Unveil Cloaked Phishing Sites
por: Nakano, Hiroki, et al.
Publicado: (2025)
por: Nakano, Hiroki, et al.
Publicado: (2025)
SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing
por: Chen, Fengchao, et al.
Publicado: (2025)
por: Chen, Fengchao, et al.
Publicado: (2025)
Virtual Context: Enhancing Jailbreak Attacks with Special Token Injection
por: Zhou, Yuqi, et al.
Publicado: (2024)
por: Zhou, Yuqi, et al.
Publicado: (2024)
Evolving Skill-Structured Attack Memory Enhances LLM Jailbreaking
por: Zhang, Junke, et al.
Publicado: (2026)
por: Zhang, Junke, et al.
Publicado: (2026)
PhishGuard: A Multi-Layered Ensemble Model for Optimal Phishing Website Detection
por: Ovi, Md Sultanul Islam, et al.
Publicado: (2024)
por: Ovi, Md Sultanul Islam, et al.
Publicado: (2024)
Phish-Blitz: Advancing Phishing Detection with Comprehensive Webpage Resource Collection and Visual Integrity Preservation
por: Hriday, Duddu, et al.
Publicado: (2025)
por: Hriday, Duddu, et al.
Publicado: (2025)
The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations
por: Weinz, Marie, et al.
Publicado: (2025)
por: Weinz, Marie, et al.
Publicado: (2025)
Ejemplares similares
-
Jailbreaking Generative AI: Multivector Phishing Threats and Transformer based Defenses
por: Mishra, Rina, et al.
Publicado: (2025) -
A Study of Effectiveness of Brand Domain Identification Features for Phishing Detection in 2025
por: Mishra, Rina, et al.
Publicado: (2025) -
GuardPhish: Securing Open-Source LLMs from Phishing Abuse
por: Mishra, Rina, et al.
Publicado: (2026) -
A Login Page Transparency and Visual Similarity Based Zero Day Phishing Defense Protocol
por: Varshney, Gaurav, et al.
Publicado: (2025) -
A Study on Malicious Browser Extensions in 2025
por: Singh, Shreya, et al.
Publicado: (2025)