Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI
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Abstract (arXiv)
Public and commercial organizations extensively share cyberthreat intelligence (CTI) to prepare systems to defend against existing and emerging cyberattacks. However, traditional CTI has primarily focused on tracking known threat indicators such as IP addresses and domain names, which may not provide long-term value in defending against evolving attacks. To address this challenge, we propose to use more robust threat intelligence signals called attack patterns. LADDER is a knowledge extraction framework that can extract text-based attack patterns from CTI reports at scale. The framework characterizes attack patterns by capturing the phases of an attack in Android and enterprise networks and systematically maps them to the MITRE ATT&CK pattern framework. LADDER can be used by security analysts to determine the presence of attack vectors related to existing and emerging threats, enabling them to prepare defenses proactively. We also present several use cases to demonstrate the application of LADDER in real-world scenarios. Finally, we provide a new, open-access benchmark malware dataset to train future cyberthreat intelligence models.
Key facts. Cited by 27 papers in the map (data through 7 Oct 2026). Builds on 24 of its 89 references that are in the map. First posted on arXiv 1 Nov 2022.
Builds on
24 of 89 references.
References · 24
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Citing papers per year: 2023: 1; 2024: 7; 2025: 9; 2026: 10.
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- 2024LLMCloudHunter: Harnessing LLMs for Automated Extraction of Detection Rules from Cloud-Based CTIcited by 17
- 2023Time for aCTIon: Automated Analysis of Cyber Threat Intelligence in the Wildcited by 15
- 2024Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Modelscited by 14
- 2024CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Modelscited by 12
- 2025Large Language Models for Security Operations Centers: A Comprehensive Surveycited by 9
- 2024MORPH: Towards Automated Concept Drift Adaptation for Malware Detectioncited by 8
- 2024Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Modelscited by 8
- 2025TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Textcited by 6
- 2025Large Language Models Are Unreliable for Cyber Threat Intelligencecited by 5
- 2025AttackSeqBench: Benchmarking the Capabilities of LLMs for Attack Sequences Understandingcited by 3
- 2025From Texts to Shields: Convergence of Large Language Models and Cybersecuritycited by 3
- 2024AI-Driven Cyber Threat Intelligence Automationcited by 2
15 more
- 2025False Alarms, Real Damage: Adversarial Attacks Using LLM-based Models on Text-based Cyber Threat Intelligence Systemscited by 2
- 2025CTIConnect: A Benchmark for Retrieval-Augmented LLMs over Heterogeneous Cyber Threat Intelligencecited by 2
- 2026Constructing Multi-label Hierarchical Classification Models for MITRE ATT&CK Text Taggingcited by 1
- 2026TTPrint: Evidence-Grounded TTP Extraction via Diverge-then-Converge Verificationcited by 1
- 2026TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Constructioncited by 1
- 2026TRACE-CTI: Auditable Post-Extraction Governance of TTP Claims with Knowledge Graphscited by 1
- 2024Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Modelscited by 0
- 2025CTIGuardian: A Few-Shot Framework for Mitigating Privacy Leakage in Fine-Tuned LLMscited by 0
- 2025From Retrieval to Reasoning: A Framework for Cyber Threat Intelligence NER with Explicit and Adaptive Instructionscited by 0
- 2026GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attackscited by 0
- 2026Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluationcited by 0
- 2026Retrieval-Constrained Policy Optimization for Attack Technique Extraction from Cyber Threat Intelligencecited by 0
- 2026Operationalizing Cyber Threat Intelligence with GraphRAGcited by 0
- 2026CTIFoundry: An Agent-Native Corpus Scaffold for Cyber Threat Intelligencecited by 0
- 2026BEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligencecited by 0
- 2026BEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligence28 Aug 2026
- 2026CTIFoundry: An Agent-Native Corpus Scaffold for Cyber Threat Intelligence19 Aug 2026
- 2026Operationalizing Cyber Threat Intelligence with GraphRAG13 Aug 2026
- 2026Retrieval-Constrained Policy Optimization for Attack Technique Extraction from Cyber Threat Intelligence7 Aug 2026
- 2026TRACE-CTI: Auditable Post-Extraction Governance of TTP Claims with Knowledge Graphs27 Jul 2026
- 2026TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction6 Jul 2026
- 2026Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluation16 Jun 2026
- 2026GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks4 Jun 2026
- 2026TTPrint: Evidence-Grounded TTP Extraction via Diverge-then-Converge Verification25 May 2026
- 2026Constructing Multi-label Hierarchical Classification Models for MITRE ATT&CK Text Tagging21 Jan 2026
- 2025From Retrieval to Reasoning: A Framework for Cyber Threat Intelligence NER with Explicit and Adaptive Instructions22 Dec 2025
- 2025CTIGuardian: A Few-Shot Framework for Mitigating Privacy Leakage in Fine-Tuned LLMs15 Dec 2025
15 more
- 2025CTIConnect: A Benchmark for Retrieval-Augmented LLMs over Heterogeneous Cyber Threat Intelligence13 Oct 2025
- 2025Large Language Models for Security Operations Centers: A Comprehensive Survey13 Sep 2025
- 2025False Alarms, Real Damage: Adversarial Attacks Using LLM-based Models on Text-based Cyber Threat Intelligence Systems5 Jul 2025
- 2025TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text17 May 2025
- 2025From Texts to Shields: Convergence of Large Language Models and Cybersecurity1 May 2025
- 2025Large Language Models Are Unreliable for Cyber Threat Intelligence29 Mar 2025
- 2025AttackSeqBench: Benchmarking the Capabilities of LLMs for Attack Sequences Understanding5 Mar 2025
- 2024Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models27 Nov 2024
- 2024CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models28 Oct 2024
- 2024AI-Driven Cyber Threat Intelligence Automation26 Oct 2024
- 2024LLMCloudHunter: Harnessing LLMs for Automated Extraction of Detection Rules from Cloud-Based CTI6 Jul 2024
- 2024Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Models30 Jun 2024
- 2024Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Models1 Mar 2024
- 2024MORPH: Towards Automated Concept Drift Adaptation for Malware Detection23 Jan 2024
- 2023Time for aCTIon: Automated Analysis of Cyber Threat Intelligence in the Wild14 Jul 2023
- 2024LLMCloudHunter: Harnessing LLMs for Automated Extraction of Detection Rules from Cloud-Based CTIcited by 17
- 2023Time for aCTIon: Automated Analysis of Cyber Threat Intelligence in the Wildcited by 15
- 2024Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Modelscited by 14
- 2024CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Modelscited by 12
- 2025Large Language Models for Security Operations Centers: A Comprehensive Surveycited by 9
- 2024MORPH: Towards Automated Concept Drift Adaptation for Malware Detectioncited by 8
- 2025Large Language Models Are Unreliable for Cyber Threat Intelligencecited by 5
- 2025AttackSeqBench: Benchmarking the Capabilities of LLMs for Attack Sequences Understandingcited by 3
- 2025From Texts to Shields: Convergence of Large Language Models and Cybersecuritycited by 3
- 2024AI-Driven Cyber Threat Intelligence Automationcited by 2
- 2025False Alarms, Real Damage: Adversarial Attacks Using LLM-based Models on Text-based Cyber Threat Intelligence Systemscited by 2
- 2026Constructing Multi-label Hierarchical Classification Models for MITRE ATT&CK Text Taggingcited by 1
12 most cited of 20 All 20 (JSON)
- 2026BEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligence28 Aug 2026
- 2026Operationalizing Cyber Threat Intelligence with GraphRAG13 Aug 2026
- 2026Retrieval-Constrained Policy Optimization for Attack Technique Extraction from Cyber Threat Intelligence7 Aug 2026
- 2026TRACE-CTI: Auditable Post-Extraction Governance of TTP Claims with Knowledge Graphs27 Jul 2026
- 2026Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluation16 Jun 2026
- 2026GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks4 Jun 2026
- 2026TTPrint: Evidence-Grounded TTP Extraction via Diverge-then-Converge Verification25 May 2026
- 2026Constructing Multi-label Hierarchical Classification Models for MITRE ATT&CK Text Tagging21 Jan 2026
- 2025Large Language Models for Security Operations Centers: A Comprehensive Survey13 Sep 2025
- 2025False Alarms, Real Damage: Adversarial Attacks Using LLM-based Models on Text-based Cyber Threat Intelligence Systems5 Jul 2025
- 2025From Texts to Shields: Convergence of Large Language Models and Cybersecurity1 May 2025
- 2025Large Language Models Are Unreliable for Cyber Threat Intelligence29 Mar 2025
12 newest of 20 All 20 (JSON)