Malware & Exploits research — Page 3

122 papers · Research category

Continuation of the Malware & Exploits collection. See the first page for its scope and research guidance.

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Bibliography

Showing 101–122 of 122 papers, ordered by publication year (newest first), then title.

Earlier research · five years or older Historical reference

Age markers as of 2026-11-06.

SHADOWBOX: A Low-Artifact Framework for Analyzing Evasive Malicious Code
Javad Zandi; Lalchandra Rampersaud; Amin Kharraz (2025) · 2025 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
Paper details
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Identifying Authorship in Malicious Binaries: Features, Challenges & Datasets
Jason Gray; Daniele Sgandurra; Lorenzo Cavallaro; Jorge Blasco Alis (2024) · ACM Computing Surveys
Paper details
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ModZoo: A Large-Scale Study of Modded Android Apps and Their Markets
Luis Adan Saavedra; Hridoy Sankar Dutta; Alastair R. Beresford; Alice Hutchings (2024) · 2024 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
Paper details
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The Challenges of Blockchain-Based Naming Systems for Malware Defenders
Audrey Randall; Wes Hardaker; Geoffrey M. Voelker; Stefan Savage; Aaron Schulman (2022) · 2022 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
Paper details
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Open Source Intelligence for Malicious Behavior Discovery and Interpretation
5+
Yi-Ting Huang; Chi Yu Lin; Ying-REN Guo; Kai-Chieh Lo; Yeali S. Sun; Meng Chang Chen (2021) · IEEE Transactions on Dependable and Secure Computing
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Resolving cross-site scripting attacks through genetic algorithm and reinforcement learning
5+
Iram Tariq; Muddassar Azam Sindhu; Rabeeh Ayaz Abbasi; Akmal Saeed Khattak; Onaiza Maqbool; Ghazanfar Farooq Siddiqui (2021) · Expert Systems with Applications
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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A DGA domain names detection modeling method based on integrating an attention mechanism and deep neural network
5+
Author metadata incomplete (2020) · Springer
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Malware-Detection Method with a Convolutional Recurrent Neural Network Using Opcode Sequences
5+
Author metadata incomplete (2020) · Elsevier / ScienceDirect
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Bidirectional LSTM Models for DGA Classification
5+
Author metadata incomplete (2019) · Springer
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Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Deep Convolutional Neural Networks for DGA Detection
5+
Author metadata incomplete (2019) · Springer
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Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Dine and Dash: Static, Dynamic, and Economic Analysis of In-Browser Cryptojacking
5+
Muhammad Saad; Aminollah Khormali; Aziz Mohaisen (2019) · 2019 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Improved DGA Domain Names Detection and Categorization Using Deep Learning Architectures with Classical Machine Learning Algorithms
5+
Author metadata incomplete (2019) · ResearchGate
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Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Weakly supervised deep learning for the detection of domain generation algorithms
5+
Author metadata incomplete (2019) · IEEE
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Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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A Key-Management-Based Taxonomy for Ransomware
5+
Pranshu Bajpai; Aditya K Sood; Richard Enbody (2018) · 2018 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Evaluating deep learning approaches to characterize and classify the DGAs at scale
5+
Author metadata incomplete (2018) · IOS Press
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Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Automatic Detection of Malware-Generated Domains with Recurrent Neural Models
5+
Author metadata incomplete (2017) · arXiv
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Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Characterizing the impact of malware infections and remediation attempts through support forum analysis
5+
Sara Amini; Chris Kanich (2017) · 2017 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Which malware lures work best? Measurements from a large instant messaging worm
5+
Tyler Moore; Richard Clayton (2015) · 2015 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Empirical analysis of factors affecting malware URL detection
5+
Marie Vasek; Tyler Moore (2013) · 2013 APWG eCrime Researchers Summit
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Taming Zeus by leveraging its own crypto internals
5+
Marco Riccardi; Roberto Di Pietro; Jorge Aguila Vila (2011) · 2011 eCrime Researchers Summit
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Burn Before Reading: A stealthy framework for combating live forensics examinations
5+
Mina Guirguis; Jason Valdez; Bassam El Lababedi; Joseph Valdez (2009) · 2009 eCrime Researchers Summit
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Identifying vulnerable websites by analysis of common strings in phishing URLs
5+
Brad Wardman; Gaurang Shukla; Gary Warner (2009) · 2009 eCrime Researchers Summit
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
View paper · Open ALEX record · Source page

Explore another perspective

These collections offer a different way into the library; their bibliographies need not contain the same papers.

Malware Analysis · Investigation type
Vulnerability Research · Research category