RiskTagger: An LLM-based Agent for Automatic Annotation of Web3 Crypto Money Laundering Behaviors
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Dan, Ding, Yanli, Zou, Weipeng, Chen, Jiachi, Luo, Xiapu, Wu, Jiajing, Zheng, Zibin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Track and Trace: Automatically Uncovering Cross-chain Transactions in the Multi-blockchain Ecosystems
by: Lin, Dan, et al.
Published: (2025)
by: Lin, Dan, et al.
Published: (2025)
An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives
by: Guo, Hanyang, et al.
Published: (2024)
by: Guo, Hanyang, et al.
Published: (2024)
Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts
by: Yang, Shuo, et al.
Published: (2024)
by: Yang, Shuo, et al.
Published: (2024)
Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools
by: Wang, Zexu, et al.
Published: (2024)
by: Wang, Zexu, et al.
Published: (2024)
SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection
by: Su, Jianzhong, et al.
Published: (2024)
by: Su, Jianzhong, et al.
Published: (2024)
MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection
by: Samadi, Yasaman, et al.
Published: (2025)
by: Samadi, Yasaman, et al.
Published: (2025)
ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM Agents
by: Wu, Jiangrong, et al.
Published: (2026)
by: Wu, Jiangrong, et al.
Published: (2026)
MCGMark: An Encodable and Robust Online Watermark for Tracing LLM-Generated Malicious Code
by: Ning, Kaiwen, et al.
Published: (2024)
by: Ning, Kaiwen, et al.
Published: (2024)
RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories
by: Wang, Yanlin, et al.
Published: (2026)
by: Wang, Yanlin, et al.
Published: (2026)
LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?
by: Liu, Bin, et al.
Published: (2025)
by: Liu, Bin, et al.
Published: (2025)
All Your Tokens are Belong to Us: Demystifying Address Verification Vulnerabilities in Solidity Smart Contracts
by: Sun, Tianle, et al.
Published: (2024)
by: Sun, Tianle, et al.
Published: (2024)
FDI: Attack Neural Code Generation Systems through User Feedback Channel
by: Sun, Zhensu, et al.
Published: (2024)
by: Sun, Zhensu, et al.
Published: (2024)
SolPhishHunter: Towards Detecting and Understanding Phishing on Solana
by: Li, Ziwei, et al.
Published: (2025)
by: Li, Ziwei, et al.
Published: (2025)
One Signature, Multiple Payments: Demystifying and Detecting Signature Replay Vulnerabilities in Smart Contracts
by: Wang, Zexu, et al.
Published: (2025)
by: Wang, Zexu, et al.
Published: (2025)
HarnessAgent: Scaling Automatic Fuzzing Harness Construction with Tool-Augmented LLM Pipelines
by: Yang, Kang, et al.
Published: (2025)
by: Yang, Kang, et al.
Published: (2025)
Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models
by: Guo, Hanyang, et al.
Published: (2025)
by: Guo, Hanyang, et al.
Published: (2025)
Automatic Selection of Protections to Mitigate Risks Against Software Applications
by: Canavese, Daniele, et al.
Published: (2025)
by: Canavese, Daniele, et al.
Published: (2025)
An Empirical Study on the Security Vulnerabilities of GPTs
by: Wu, Tong, et al.
Published: (2025)
by: Wu, Tong, et al.
Published: (2025)
PentestGPT: An LLM-empowered Automatic Penetration Testing Tool
by: Deng, Gelei, et al.
Published: (2023)
by: Deng, Gelei, et al.
Published: (2023)
Beyond Static Datasets: A Behavior-Driven Entity-Specific Simulation to Overcome Data Scarcity and Train Effective Crypto Anti-Money Laundering Models
by: P, Dinesh Srivasthav, et al.
Published: (2025)
by: P, Dinesh Srivasthav, et al.
Published: (2025)
Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) Ecosystem
by: Song, Hao, et al.
Published: (2025)
by: Song, Hao, et al.
Published: (2025)
Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools
by: He, Ping, et al.
Published: (2025)
by: He, Ping, et al.
Published: (2025)
The Dark Art of Financial Disguise in Web3: Money Laundering Schemes and Countermeasures
by: Sarkhosh, Hesam, et al.
Published: (2025)
by: Sarkhosh, Hesam, et al.
Published: (2025)
CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics
by: Li, Yikun, et al.
Published: (2024)
by: Li, Yikun, et al.
Published: (2024)
Demystifying and Detecting Cryptographic Defects in Ethereum Smart Contracts
by: Zhang, Jiashuo, et al.
Published: (2024)
by: Zhang, Jiashuo, et al.
Published: (2024)
CHASE: LLM Agents for Dissecting Malicious PyPI Packages
by: Toda, Takaaki, et al.
Published: (2026)
by: Toda, Takaaki, et al.
Published: (2026)
Identifying Adversary Tactics and Techniques in Malware Binaries with an LLM Agent
by: Xuan, Zhou, et al.
Published: (2026)
by: Xuan, Zhou, et al.
Published: (2026)
From LLMs to Agents: A Comparative Evaluation of LLMs and LLM-based Agents in Security Patch Detection
by: Han, Junxiao, et al.
Published: (2025)
by: Han, Junxiao, et al.
Published: (2025)
Threat Modelling and Risk Analysis for Large Language Model (LLM)-Powered Applications
by: Tete, Stephen Burabari
Published: (2024)
by: Tete, Stephen Burabari
Published: (2024)
ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection
by: Weng, Shihao, et al.
Published: (2026)
by: Weng, Shihao, et al.
Published: (2026)
Exploiting LLM Agent Supply Chains via Payload-less Skills
by: Liu, Xinyu, et al.
Published: (2026)
by: Liu, Xinyu, et al.
Published: (2026)
SeeWasm: An Efficient and Fully-Functional Symbolic Execution Engine for WebAssembly Binaries
by: He, Ningyu, et al.
Published: (2024)
by: He, Ningyu, et al.
Published: (2024)
Security Is Relative: Training-Free Vulnerability Detection via Multi-Agent Behavioral Contract Synthesis
by: Wang, Yongchao, et al.
Published: (2026)
by: Wang, Yongchao, et al.
Published: (2026)
Heimdallr: Characterizing and Detecting LLM-Induced Security Risks in GitHub CI Workflows
by: Ruan, Bonan, et al.
Published: (2026)
by: Ruan, Bonan, et al.
Published: (2026)
SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces
by: Hu, Qi, et al.
Published: (2026)
by: Hu, Qi, et al.
Published: (2026)
What Makes a Good LLM Agent for Real-world Penetration Testing?
by: Deng, Gelei, et al.
Published: (2026)
by: Deng, Gelei, et al.
Published: (2026)
Automatic, Expressive, and Scalable Fuzzing with Stitching
by: Green, Harrison, et al.
Published: (2026)
by: Green, Harrison, et al.
Published: (2026)
Belobog: Move Language Fuzzing Framework For Real-World Smart Contracts
by: Kong, Ziqiao, et al.
Published: (2025)
by: Kong, Ziqiao, et al.
Published: (2025)
Who Tests the Testers? Systematic Enumeration and Coverage Audit of LLM Agent Tool Call Safety
by: Chen, Xuan, et al.
Published: (2026)
by: Chen, Xuan, et al.
Published: (2026)
FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction
by: Chen, Jiachi, et al.
Published: (2025)
by: Chen, Jiachi, et al.
Published: (2025)
Similar Items
-
Track and Trace: Automatically Uncovering Cross-chain Transactions in the Multi-blockchain Ecosystems
by: Lin, Dan, et al.
Published: (2025) -
An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives
by: Guo, Hanyang, et al.
Published: (2024) -
Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts
by: Yang, Shuo, et al.
Published: (2024) -
Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools
by: Wang, Zexu, et al.
Published: (2024) -
SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection
by: Su, Jianzhong, et al.
Published: (2024)