Cut Response Time with This Free, Powerful Threat Intelligence Service

Disclosure: This article was provided by ANY.RUN. The information and analysis presented are based on their research and findings...

Google AI "Big Sleep" Stops Exploitation of Critical SQLite Vulnerability Before Hackers Act

Google on Tuesday revealed that its large language model LLM-assisted vulnerability discovery framework identified a security flaw in the SQLite open-source database engine before it could have been exploited in the wild. The vulnerability, tracked as CVE-2025-6965 CVSS score: 7.2, is a memory...

CLIProv: a Contrastive Log-To-Intelligence Multimodal Approach for Threat Detection and Provenance Analysis

With the increasing complexity of cyberattacks, the proactive and forward-looking nature of threat intelligence has become more crucial for threat detection and provenance analysis. However, translating high-level attack patterns described in Tactics, Techniques, and Procedures TTP intelligence...

The Exposure Convergence: Why Identity, Infrastructure, and Intelligence Are Converging

Running short on time but still want to stay in the know? Well, we’ve got you covered! We’ve condensed all the key takeaways into a handy audio summary. Our AI-driven podcasts are fit for on the go. The cybersecurity industry is experiencing a fundamental convergence around "exposure management" ...

False Alarms, Real Damage: Adversarial Attacks Using LLM-Based Models on Text-Based Cyber Threat Intelligence Systems

Cyber Threat Intelligence CTI has emerged as a vital complementary approach that operates in the early phases of the cyber threat lifecycle. CTI involves collecting, processing, and analyzing threat data to provide a more accurate and rapid understanding of cyber threats. Due to the large volume ...

Unveiling RIFT: Enhancing Rust malware analysis through pattern matching

Today, Microsoft Threat Intelligence Center is excited to announce the release of RIFT , a tool designed to assist malware analysts automate the identification of attacker-written code within Rust binaries. Known for its efficiency, type safety, and robust memory safety, Rust has increasingly...

Microsoft Named a Leader in the 2025 IDC CNAPP MarketScape: Key Takeaways for Security Buyers

The cloud-native application protection platform CNAPP market continues to evolve rapidly as organizations look to secure increasingly complex cloud environments. In the recently published 2025 IDC MarketScape for Worldwide CNAPP, Microsoft has been recognized as a Leader, reaffirming its...

GHSA-C5V3-F4MM-7XMW

creationtimestamp| type| source ---|---|--- 2025-06-24 17:27:34+00:00| published-proof-of-concept| https://t.me/TheDarkWebInformer/18454 2025-06-24 17:27:56+00:00| seen| https://infosec.exchange/users/DarkWebInformer/statuses/114739516207051756...

MM-AttacKG: a Multimodal Approach to Attack Graph Construction with Large Language Models

Cyber Threat Intelligence CTI parsing aims to extract key threat information from massive data, transform it into actionable intelligence, enhance threat detection and defense efficiency, including attack graph construction, intelligence fusion and indicator extraction. Among these research topic...

AURA: a Multi-Agent Intelligence Framework for Knowledge-Enhanced Cyber Threat Attribution

Effective attribution of Advanced Persistent Threats APTs increasingly hinges on the ability to correlate behavioral patterns and reason over complex, varied threat intelligence artifacts. We present AURA Attribution Using Retrieval-Augmented Agents, a multi-agent, knowledge-enhanced framework fo...

The Mystery of iPhone Crashes That Apple Denies Are Linked to Chinese Hacking

Plus: A 22-year-old former intern gets put in charge of a key anti-terrorism program, threat intelligence firms finally wrangle their confusing names for hacker groups, and more...

Stay Ahead of Cyber Threats Sweeping Container Telemetry data

Threat Intelligence Sweeping starts to support sweep container security telemetry data. It helps identify possible attacks happened based on TI intelligence in container environment. The trigger events are visible in workbench alert...

Threat Intelligence Sweeping now supports container security telemetry data

Threat Intelligence Sweeping starts to support sweep container security telemetry data. Users can now use the TI tool to identify possible malicious activity in their container-based environments. The trigger events are visible in workbench alert...

Connect with us at the Gartner Security & Risk Management Summit

Security professionals visiting booths scattered around a hall, eager for solutions to today’s top cybersecurity challenges to protect their resources and people. The hum of hundreds of conversations. Presenters in packed sessions sharing expertise, trends, and stories to energize attendees. Few...

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...