Cover Image

Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Zhiyang, Saba, Tara, Deng, Xun, Si, Xujie, Long, Fan
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Classification: Evaluating LLMs for Fine-Grained Automatic Malware Behavior Auditing
by: Zheng, Xinran, et al.
Published: (2025)

Automatically Generating Rules of Malicious Software Packages via Large Language Model
by: Zhang, XiangRui, et al.
Published: (2025)

MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization
by: Lu, Haolang, et al.
Published: (2024)

`Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs
by: Chiu, Chun Wai, et al.
Published: (2025)

Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
by: Kong, Ziqiao, et al.
Published: (2026)

LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
by: Sun, Yuqiang, et al.
Published: (2024)

AEGIS: From Clues to Verdicts -- Graph-Guided Deep Vulnerability Reasoning via Dialectics and Meta-Auditing
by: Fang, Sen, et al.
Published: (2026)

LLMs + Security = Trouble
by: Livshits, Benjamin
Published: (2026)

Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG
by: Chen, Yufan, et al.
Published: (2025)

LLMs as verification oracles for Solidity
by: Bartoletti, Massimo, et al.
Published: (2025)

TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs
by: Shen, Qingchao, et al.
Published: (2026)

Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
by: Yuan, He Yang, et al.
Published: (2026)

Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT Models
by: Bruni, Marc, et al.
Published: (2025)

Llama-based source code vulnerability detection: Prompt engineering vs Fine tuning
by: Ouchebara, Dyna Soumhane, et al.
Published: (2025)

Harnessing the Power of LLMs in Source Code Vulnerability Detection
by: Mahyari, Andrew A
Published: (2024)

Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents
by: Crawford, Brian, et al.
Published: (2026)

Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs
by: Momcilovic, Tomas Bueno, et al.
Published: (2024)

Evaluating LLMs for One-Shot Patching of Real and Artificial Vulnerabilities
by: Garg, Aayush, et al.
Published: (2025)

Efficient Detection of Toxic Prompts in Large Language Models
by: Liu, Yi, et al.
Published: (2024)

SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code
by: Dong, Xiaoning, et al.
Published: (2024)

Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation
by: Yu, Jiongchi, et al.
Published: (2025)

LM-Fix: Lightweight Bit-Flip Detection and Rapid Recovery Framework for Language Models
by: Tahmasivand, Ahmad, et al.
Published: (2025)

Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning
by: Gu, Shanzhi, et al.
Published: (2025)

CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
by: Dubniczky, Richard A., et al.
Published: (2025)

How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
by: Yang, Hua, et al.
Published: (2025)

Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning
by: Yan, Shenao, et al.
Published: (2026)

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference
by: Zhang, Qiang, et al.
Published: (2026)

Python Fuzzing for Trustworthy Machine Learning Frameworks
by: Yegorov, Ilya, et al.
Published: (2024)

LinuxArena: A Control Setting for AI Agents in Live Production Software Environments
by: Tracy, Tyler, et al.
Published: (2026)

Semantic-Aware Fuzzing: An Empirical Framework for LLM-Guided, Reasoning-Driven Input Mutation
by: Lu, Mengdi, et al.
Published: (2025)

Zer0n: An AI-Assisted Vulnerability Discovery and Blockchain-Backed Integrity Framework
by: Parmar, Harshil, et al.
Published: (2026)

PentestEval: Benchmarking LLM-based Penetration Testing with Modular and Stage-Level Design
by: Yang, Ruozhao, et al.
Published: (2025)

AutoEG: Exploiting Known Third-Party Vulnerabilities in Black-Box Web Applications
by: Yang, Ruozhao, et al.
Published: (2026)

Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detection
by: Baby, Maksuda Bilkis, et al.
Published: (2026)

MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security
by: Guo, Yongjian, et al.
Published: (2025)

Prompt Injection attack against LLM-integrated Applications
by: Liu, Yi, et al.
Published: (2023)

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs
by: Sun, Tiezhu, et al.
Published: (2025)

Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks
by: Chang, Chen-Wei, et al.
Published: (2025)

VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models
by: Liu, Yu, et al.
Published: (2024)

RefleXGen:The unexamined code is not worth using
by: Wang, Bin, et al.
Published: (2025)