VBSF: A Visual-Based Spam Filtering Technique for Obfuscated Emails
Fuente:
arXiv
Saved in:
| Main Authors: | Hossary, Ali, Tomasin, Stefano |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection
by: Koide, Takashi, et al.
Published: (2024)
by: Koide, Takashi, et al.
Published: (2024)
Investigating the Effectiveness of Bayesian Spam Filters in Detecting LLM-modified Spam Mails
by: Josten, Malte, et al.
Published: (2024)
by: Josten, Malte, et al.
Published: (2024)
The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs
by: Toth, Rebeka, et al.
Published: (2025)
by: Toth, Rebeka, et al.
Published: (2025)
EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models
by: SHirvani, Ghazaleh, et al.
Published: (2025)
by: SHirvani, Ghazaleh, et al.
Published: (2025)
A Comprehensive Analysis of Adversarial Attacks against Spam Filters
by: Hotoğlu, Esra, et al.
Published: (2025)
by: Hotoğlu, Esra, et al.
Published: (2025)
Characterizing the Evolution of Psychological Tactics and Techniques Exploited by Malicious Emails
by: Longtchi, Theodore, et al.
Published: (2024)
by: Longtchi, Theodore, et al.
Published: (2024)
Secret-Key-Agreement Advantage Distillation With Quantization Correction
by: Ardizzon, Francesco, et al.
Published: (2023)
by: Ardizzon, Francesco, et al.
Published: (2023)
Comprehensive List of User Deception Techniques in Emails
by: Veit, Maxime, et al.
Published: (2026)
by: Veit, Maxime, et al.
Published: (2026)
SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection
by: Li, Yekai, et al.
Published: (2024)
by: Li, Yekai, et al.
Published: (2024)
SpaLLM-Guard: Pairing SMS Spam Detection Using Open-source and Commercial LLMs
by: Salman, Muhammad, et al.
Published: (2025)
by: Salman, Muhammad, et al.
Published: (2025)
An Investigation of Large Language Models and Their Vulnerabilities in Spam Detection
by: Tang, Qiyao, et al.
Published: (2025)
by: Tang, Qiyao, et al.
Published: (2025)
Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice
by: Zhang, Junqing, et al.
Published: (2025)
by: Zhang, Junqing, et al.
Published: (2025)
Obfuscation as Instruction Decorrelation
by: Ajorian, Ali, et al.
Published: (2024)
by: Ajorian, Ali, et al.
Published: (2024)
Quantifying Psychological Sophistication of Malicious Emails
by: Longtchi, Theodore, et al.
Published: (2024)
by: Longtchi, Theodore, et al.
Published: (2024)
Spam Detection Using BERT
by: Sahmoud, Thaer, et al.
Published: (2022)
by: Sahmoud, Thaer, et al.
Published: (2022)
Measuring Modern Phishing Tactics: A Quantitative Study of Body Obfuscation Prevalence, Co-occurrence, and Filter Impact
by: Dalmiere, Antony, et al.
Published: (2025)
by: Dalmiere, Antony, et al.
Published: (2025)
On the Limits of Cross-Authentication Checks for GNSS Signals
by: Ardizzon, Francesco, et al.
Published: (2023)
by: Ardizzon, Francesco, et al.
Published: (2023)
The Express Lane to Spam and Centralization: An Empirical Analysis of Arbitrum's Timeboost
by: Messias, Johnnatan, et al.
Published: (2025)
by: Messias, Johnnatan, et al.
Published: (2025)
Clues in Tweets: Twitter-Guided Discovery and Analysis of SMS Spam
by: Tang, Siyuan, et al.
Published: (2022)
by: Tang, Siyuan, et al.
Published: (2022)
Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection
by: Shukla, Sachin, et al.
Published: (2024)
by: Shukla, Sachin, et al.
Published: (2024)
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems
by: Zhou, Mingyi, et al.
Published: (2023)
by: Zhou, Mingyi, et al.
Published: (2023)
Leveraging Large Language Models for Cybersecurity: Enhancing SMS Spam Detection with Robust and Context-Aware Text Classification
by: Ahmadi, Mohsen, et al.
Published: (2025)
by: Ahmadi, Mohsen, et al.
Published: (2025)
Characterizing the Networks Sending Enterprise Phishing Emails
by: Luo, Elisa, et al.
Published: (2024)
by: Luo, Elisa, et al.
Published: (2024)
Filter-then-Verify: A Multiphase GNN and ModernBERT Framework for Social Engineering Detection in Email Networks
by: Khadka, Barsat, et al.
Published: (2026)
by: Khadka, Barsat, et al.
Published: (2026)
Phishing Codebook: A Structured Framework for the Characterization of Phishing Emails
by: Saka, Tarini, et al.
Published: (2024)
by: Saka, Tarini, et al.
Published: (2024)
Censor Resistant Instruction Independent Obfuscation for Multiple Programs
by: Ajorian, Ali
Published: (2025)
by: Ajorian, Ali
Published: (2025)
Disassembling Obfuscated Executables with LLM
by: Rong, Huanyao, et al.
Published: (2024)
by: Rong, Huanyao, et al.
Published: (2024)
XuanJia: A Comprehensive Virtualization-Based Code Obfuscator for Binary Protection
by: Zou, Xianyu, et al.
Published: (2026)
by: Zou, Xianyu, et al.
Published: (2026)
Characterizing the Evolution of Psychological Factors Exploited by Malicious Emails
by: Longtchi, Theodore, et al.
Published: (2024)
by: Longtchi, Theodore, et al.
Published: (2024)
LLM-Powered Intent-Based Categorization of Phishing Emails
by: Eilertsen, Even, et al.
Published: (2025)
by: Eilertsen, Even, et al.
Published: (2025)
A Core-Structure-Based Automated Analysis Tool for Commercial Virtualization Obfuscation Deobfuscation
by: Kim, Wanju, et al.
Published: (2026)
by: Kim, Wanju, et al.
Published: (2026)
Red Teaming Methodology for Design Obfuscation
by: Liu, Yuntao, et al.
Published: (2025)
by: Liu, Yuntao, et al.
Published: (2025)
Phishing Email Detection Using Inputs From Artificial Intelligence
by: Paul, Mithün, et al.
Published: (2024)
by: Paul, Mithün, et al.
Published: (2024)
PhishSigma++: Malicious Email Detection with Typed Entity Relations
by: Shang, Shang, et al.
Published: (2026)
by: Shang, Shang, et al.
Published: (2026)
A Lightweight Defense Mechanism against Next Generation of Phishing Emails using Distilled Attention-Augmented BiLSTM
by: Eskandarian, Morteza, et al.
Published: (2026)
by: Eskandarian, Morteza, et al.
Published: (2026)
Control at Stake: Evaluating the Security Landscape of LLM-Driven Email Agents
by: Wu, Jiangrong, et al.
Published: (2025)
by: Wu, Jiangrong, et al.
Published: (2025)
URL Inspection Tasks: Helping Users Detect Phishing Links in Emails
by: Lain, Daniele, et al.
Published: (2025)
by: Lain, Daniele, et al.
Published: (2025)
Context-Aware Phishing Email Detection Using Machine Learning and NLP
by: Chakravorty, Amitabh, et al.
Published: (2026)
by: Chakravorty, Amitabh, et al.
Published: (2026)
Towards LLM-Based Analysis of Virtualization-Obfuscated Code through Automated Data Generation
by: An, Sangjun, et al.
Published: (2026)
by: An, Sangjun, et al.
Published: (2026)
Similar Items
-
ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection
by: Koide, Takashi, et al.
Published: (2024) -
Investigating the Effectiveness of Bayesian Spam Filters in Detecting LLM-modified Spam Mails
by: Josten, Malte, et al.
Published: (2024) -
The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs
by: Toth, Rebeka, et al.
Published: (2025) -
EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
by: Huang, Wei, et al.
Published: (2025) -
Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models
by: SHirvani, Ghazaleh, et al.
Published: (2025)