On Automating Security Policies with Contemporary LLMs

The complexity of modern computing environments and the growing sophistication of cyber threats necessitate a more robust, adaptive, and automated approach to security enforcement. In this paper, we present a framework leveraging large language models LLMs for automating attack mitigation policy...

A Threat Intelligence Event Extraction Conceptual Model for Cyber Threat Intelligence Feeds

In response to the escalating cyber threats, the efficiency of Cyber Threat Intelligence CTI data collection has become paramount in ensuring robust cybersecurity. However, existing works encounter significant challenges in preprocessing large volumes of multilingual threat data, leading to...

Combining Threat Intelligence with IoT Scanning to Predict Cyber Attack

While the Web has become a global platform for communication, malicious actors, including hackers and hacktivist groups, often disseminate ideological content and coordinate activities through the "Dark Web", an obscure counterpart of the conventional web. Presently, challenges such as informatio...

Announcing a new strategic collaboration to bring clarity to threat actor naming

In today’s cyberthreat landscape, even seconds of delay can mean the difference between stopping a cyberattack or falling victim to ransomware. One major cause of delayed response is understanding threat actor attribution, which is often slowed by inaccurate or incomplete data as well as...

Lazarus Group Targets Crypto-Wallets and Financial Data While Employing New Tradecrafts

This report presents a comprehensive analysis of a malicious software sample, detailing its architecture, behavioral characteristics, and underlying intent. Through static and dynamic examination, the malware core functionalities, including persistence mechanisms, command-and-control communicatio...

LLM-Driven APT Detection for 6G Wireless Networks: a Systematic Review and Taxonomy

Sixth Generation 6G wireless networks, which are expected to be deployed in the 2030s, have already created great excitement in academia and the private sector with their extremely high communication speed and low latency rates. However, despite the ultra-low latency, high throughput, and...

CVE-2024-33857

An issue was discovered in Logpoint before 7.4.0. Due to a lack of input validation on URLs in threat intelligence, an attacker with low-level access to the system can trigger Server Side Request Forgery...

CVE-2019-3641

Abuse of Authorization vulnerability in APIs exposed by TIE server in McAfee Threat Intelligence Exchange Server TIE Server 3.0.0 allows remote authenticated users to modify stored reputation data via specially crafted messages...

CVE-2015-7238

The Secondary server in Threat Intelligence Exchange TIE before 1.2.0 uses weak permissions for unspecified 1 configuration files and 2 installation logs, which allows local users to obtain sensitive information by reading the files...

CVE-2025-26621

OpenCTI is an open source platform for managing cyber threat intelligence knowledge and observables. Prior to version 6.5.2, any user with the capability manage customizations can edit webhook that will execute javascript code. This can be abused to cause a denial of service attack by prototype...

Key Takeaways from the Take Command Summit 2025: Inside the Mind of an Attacker

In one of the most anticipated sessions of Take Command 2025, Raj Samani, Chief Scientist at Rapid7, sat down with Trent Teyema, former FBI Special Agent and President of CSG Strategies, for a candid conversation on how threat actors are evolving and what defenders must do to keep up. Moderated b...

Mitigating Cyber Risk in the Age of Open-Weight LLMs: Policy Gaps and Technical Realities

Open-weight general-purpose AI GPAI models offer significant benefits but also introduce substantial cybersecurity risks, as demonstrated by the offensive capabilities of models like DeepSeek-R1 in evaluations such as MITRE's OCCULT. These publicly available models empower a wider range of actors...

CVE-2025-26621 OpenCTI vulnerable to Denial of Service through web hook

OpenCTI is an open source platform for managing cyber threat intelligence knowledge and observables. Prior to version 6.5.2, any user with the capability manage customizations can edit webhook that will execute javascript code. This can be abused to cause a denial of service attack by prototype...

PT-2025-22013 · Node.Js +1 · Node.Js +1

Name of the Vulnerable Software and Affected Versions: OpenCTI versions prior to 6.5.2 Description: The issue affects an open source platform for managing cyber threat intelligence knowledge and observables. Prior to version 6.5.2, any user with the capability to manage customizations can edit a...

An Alignment between the CRA'S Essential Requirements and the ATT&CK'S Mitigations

The paper presents an alignment evaluation between the mitigations present in the MITRE's ATT&CK framework and the essential cyber security requirements of the recently introduced Cyber Resilience Act CRA in the European Union. In overall, the two align well with each other. With respect to the...

On Technique Identification and Threat-Actor Attribution Using LLMs and Embedding Models

Attribution of cyber-attacks remains a complex but critical challenge for cyber defenders. Currently, manual extraction of behavioral indicators from dense forensic documentation causes significant attribution delays, especially following major incidents at the international scale. This research...

Towards AI-Driven Human-Machine Co-Teaming for Adaptive and Agile Cyber Security Operation Centers

Security Operations Centers SOCs face growing challenges in managing cybersecurity threats due to an overwhelming volume of alerts, a shortage of skilled analysts, and poorly integrated tools. Human-AI collaboration offers a promising path to augment the capabilities of SOC analysts while reducin...

CVE-2025-24977

OpenCTI is an open cyber threat intelligence CTI platform. Prior to version 6.4.11 any user with the capability manage customizations can execute commands on the underlying infrastructure where OpenCTI is hosted and can access internal server side secrets by misusing the web-hooks. Since the...

Elevating Cyber Threat Intelligence against Disinformation Campaigns with LLM-Based Concept Extraction and the FakeCTI Dataset

The swift spread of fake news and disinformation campaigns poses a significant threat to public trust, political stability, and cybersecurity. Traditional Cyber Threat Intelligence CTI approaches, which rely on low-level indicators such as domain names and social media handles, are easily evaded ...

CVE-2025-24977

CVE-2025-24977 (OpenCTI) affects OpenCTI prior to version 6.4.11. The vulnerability arises because a user with the privilege to manage customizations can misuse web-hooks to execute commands on the underlying infrastructure and access internal server-side secrets, effectively allowing a root shel...