This article outlines a threat intelligence project offering blocklists derived from various OSINT sources, honeypots, and C2 trackers. Users can download blocklists categorized by confidence levels and utilize them to enhance network security. It encourages community contributions for ongoing improvement and accuracy.

The article criticizes Anthropic's recent report on a Chinese state-sponsored cyber espionage operation, arguing it lacks verifiable details and fails to provide essential indicators for threat detection. It highlights the report's shortcomings in transparency and accountability, questioning the motivations behind its release and the credibility of the claims made.

The article introduces CyberSOCEval, a set of open source benchmarks designed to evaluate Large Language Models (LLMs) in malware analysis and threat intelligence reasoning. It highlights the need for improved assessments of LLMs to better support cybersecurity efforts, especially as malicious actors leverage AI for attacks. The findings show that current models are underperforming in cybersecurity scenarios, indicating room for enhancement.

This article explains the differences between threat intelligence and threat hunting in cybersecurity. Threat intelligence focuses on external threats and informs defenses, while threat hunting actively seeks out threats already within an organization. Both practices work together to enhance security measures.

Google Threat Intelligence Group reported a novel phishing campaign attributed to a suspected Russian espionage actor, UNC5837, targeting European government and military organizations. Attackers used signed .rdp files to establish Remote Desktop Protocol connections, enabling them to access victim systems and potentially exfiltrate sensitive information, highlighting the risks associated with lesser-known RDP functionalities.

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Intruder offers a proactive solution for identifying and prioritizing attack surface vulnerabilities, enabling organizations to discover unknown assets and monitor new exposures in real-time. By leveraging advanced scanning engines and integrating with various cloud services, it helps teams focus on critical issues while providing actionable insights and audit-ready reports. With a high customer satisfaction rating, Intruder aims to streamline security efforts and reduce alert fatigue.

The Unit 42 Attribution Framework offers a systematic method for analyzing threat data, enhancing the accuracy of threat actor attribution by categorizing observed activities into activity clusters, temporary threat groups, and named threat actors. This approach emphasizes transparency and reliability through a scoring system for evidence and focuses on evolving understanding of threat activities over time.

Google has launched Sec-Gemini v1, an experimental AI model aimed at enhancing cybersecurity by providing advanced reasoning capabilities and real-time knowledge to support cybersecurity workflows. This model outperforms existing benchmarks and is available for research collaboration with select organizations to help shift the balance in favor of cybersecurity defenders.

Prompts used in large language models (LLMs) are emerging as critical indicators of compromise (IOCs) in cybersecurity, highlighting how threat actors exploit these technologies for malicious purposes. The article reviews a recent report from Anthropic detailing various misuse cases of the AI model Claude and emphasizes the need for threat analysts to focus on prompt-based tactics, techniques, and procedures (TTPs) for effective monitoring and detection. The author proposes the NOVA tool for detecting adversarial prompts tailored to specific threat scenarios.

FBI Watchdog is an open-source cyber threat intelligence tool that provides real-time monitoring of DNS changes, specifically for law enforcement seizures. It alerts users via Telegram and Discord, captures screenshots of affected domains, and supports multiple platforms while allowing for customizable domain monitoring.

Security professionals are overwhelmed by the volume of threat intelligence data, with 61% reporting that their teams are inundated and 60% lacking sufficient skilled analysts to make sense of it all. This situation hampers proactive security measures, leading to a predominantly reactive approach to cyber threats, particularly concerning in industries like manufacturing that face significant risks from ransomware attacks. Recommendations suggest reframing threat intelligence as a process rather than just raw data to enhance security efforts.

GreyNoise has reported a significant decline in suspicious scanning activity targeting Palo Alto Networks PAN-OS GlobalProtect portals, dropping by over 99% within 48 hours after a peak in March 2025. The majority of the activity was linked to 3xK Tech GmbH, highlighting the need for dynamic IP blocking as threat actors rotate between infrastructure providers. Organizations are advised to review their security measures and logs in light of this coordinated scanning effort, which may precede new vulnerabilities.

The eXtended Threat Management (XTM) portfolio offers continuous visibility into an organization's attack surface while enhancing security posture through integrated threat intelligence and adversary simulation solutions. It emphasizes the importance of understanding the threat landscape to act effectively and organize cyber threat intelligence for actionable insights.

ThreatSpike Red offers unlimited penetration testing and red team exercises for a fixed price, allowing organizations to continuously assess and strengthen their security posture against evolving threats. With a focus on comprehensive testing methodologies and detailed reporting, it transforms security from a mere compliance checkbox into a competitive advantage. Clients benefit from a dedicated team of ethical hackers ready to identify vulnerabilities and enhance incident response at any time.

The article discusses the Trump administration's approach to public-private collaboration in threat intelligence sharing, emphasizing the importance of stronger partnerships between government and private sector entities to enhance cybersecurity. It highlights various initiatives and challenges faced in fostering effective communication and information sharing regarding cyber threats.

AI is transforming the cybercrime landscape by enhancing existing attack methods rather than creating new threats, making cybercriminal activities more efficient and accessible. The panel at RSA Conference 2025 emphasized the importance of adapting defense strategies to counter AI-driven attacks, highlighting the need for international cooperation and innovative security frameworks. As AI continues to evolve, both defenders and threat actors will need to adapt rapidly to the changing dynamics of cyber threats.

Counter Threats emphasizes the importance of proactive threat intelligence in the face of increasingly sophisticated targeted attacks, especially those enhanced by AI. The approach includes early detection of threats and rapid response strategies to ensure effective defense against specific vulnerabilities within a company's ecosystem.

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The article discusses the significance of effective threat intelligence in cybersecurity, emphasizing the need for organizations to adopt proactive measures against emerging threats. It highlights the challenges faced in gathering and analyzing threat data, as well as best practices for leveraging intelligence to enhance security postures.

Silent smishing exploits vulnerable cellular router APIs to conduct phishing attacks via SMS, allowing attackers to access sensitive information without authentication. The article discusses various attack methods, including the impersonation of legitimate organizations, and emphasizes the need for vigilance against such threats.

The guide outlines how open-source intelligence (OSINT) can enhance the safety of high-profile individuals by neutralizing threats and implementing effective security measures. It emphasizes the importance of understanding online dangers and leveraging advanced tools to gain insights into potential risks. Proactive strategies include setting up alerts, managing sensitive information, and utilizing AI and social media intelligence.

The article discusses the evolving role of Indicators of Compromise (IOCs) and the importance of context in threat detection. It emphasizes the limitations of IOCs in real-time detection due to their quick obsolescence and the need to balance their use with behavioral detections (IOAs) for more effective cybersecurity strategies. The piece also highlights that not all IOCs are created equal and stresses the value of enriched context for maximizing their effectiveness in threat analysis.

APT41, a state-sponsored threat actor, has been using innovative tactics to deliver malware, specifically a variant named "TOUGHPROGRESS," through exploited government websites and Google Calendar for command and control. Google Threat Intelligence Group has detailed the malware's infection chain, its evasion techniques, and the proactive measures taken to disrupt the campaign and protect affected organizations.