The Emergence of Autonomous Penetration Capabilities in Large Language Model-Powered AI Systems

Nowadays, the autonomous execution of cyberattacks capable of causing substantial real-world harm is widely regarded as one of the critical red lines that frontier AI systems must not cross. Within this broader red-line scenario, autonomous penetration represents a core enabling capability and...

Root-Cause-Driven Automated Vulnerability Repair

Recent LLM-based systems have made automated vulnerability repair increasingly practical, but two challenges remain. First, without strong signals about where a bug originates, repair agents drift toward shallow edits that silence the observed failure while leaving the underlying defect unresolve...

Why Tehran’s Two-Tiered Internet Is So Dangerous

Iran is slowly emerging from the most severe communications blackout in its history and one of the longest in the world. Triggered as part of January's government crackdown against citizen protests nationwide, the regime implemented an internet shutdown that transcends the standard definition of...

CurricuLLM: Designing Personalized and Workforce-Aligned Cybersecurity Curricula Using Fine-Tuned LLMs

The cybersecurity landscape is constantly evolving, driven by increased digitalization and new cybersecurity threats. Cybersecurity programs often fail to equip graduates with skills demanded by the workforce, particularly concerning recent developments in cybersecurity, as curriculum design is...

APT28 Targets Ukrainian UKR-net Users in Long-Running Credential Phishing Campaign

The Russian state-sponsored threat actor known as APT28 has been attributed to what has been described as a "sustained" credential-harvesting campaign targeting users of UKR.net, a webmail and news service popular in Ukraine. The activity, observed by Recorded Future's Insikt Group between June...

Leveraging Large Language Models for SQL Behavior-Based Database Intrusion Detection

Database systems are extensively used to store critical data across various domains. However, the frequency of abnormal database access behaviors, such as database intrusion by internal and external attacks, continues to rise. Internal masqueraders often have greater organizational knowledge,...

Toward an Intent-Based and Ontology-Driven Autonomic Security Response in Security Orchestration Automation and Response

Modern Security Orchestration, Automation, and Response SOAR platforms must rapidly adapt to continuously evolving cyber attacks. Intent-Based Networking has emerged as a promising paradigm for cyber attack mitigation through high-level declarative intents, which offer greater flexibility and...

The vulnerability of the enterprise resource management system Galaktika ERP lies in the lack of access control for the GalSrv directory, allowing an intruder to execute arbitrary codes.

The vulnerability of the Galaktika ERP resource management system is related to deficiencies in access control for the GalSrv directory, which is used in a two-tier system architecture. Exploiting this vulnerability allows an attacker with privileges as USERS to execute arbitrary code by placing...