Real-Time Detection of Insider Threats Using Behavioral Analytics and Deep Evidential Clustering

Insider threats represent one of the most critical challenges in modern cybersecurity. These threats arise from individuals within an organization who misuse their legitimate access to harm the organization's assets, data, or operations. Traditional security mechanisms, primarily designed for...

Simultaneously Exposing and Jamming Covert Communications Via Disco Reconfigurable Intelligent Surfaces

Covert communications provide a stronger privacy protection than cryptography and physical-layer security PLS. However, previous works on covert communications have implicitly assumed the validity of channel reciprocity, i.e., wireless channels remain constant or approximately constant during the...

Nuclei 3.4.4

Nuclei is a modern, high-performance vulnerability scanner that leverages simple YAML-based templates. It empowers you to design custom vulnerability detection scenarios that mimic real-world conditions, leading to zero false positives...

golang-fips: Golang FIPS zeroed buffer

A vulnerability was found in Golang FIPS OpenSSL. This flaw allows a malicious user to randomly cause an uninitialized buffer length variable with a zeroed buffer to be returned in FIPS mode. It may also be possible to force a false positive match between non-equal hashes when comparing a trusted...

Guardian Positioning System (GPS) for Location Based Services

Location-based service LBS applications proliferate and support transportation, entertainment, and more. Modern mobile platforms, with smartphones being a prominent example, rely on terrestrial and satellite infrastructures e.g., global navigation satellite system GNSS and crowdsourced Wi-Fi,...

Automated Alert Classification and Triage (AACT): an Intelligent System for the Prioritisation of Cybersecurity Alerts

Enterprise networks are growing ever larger with a rapidly expanding attack surface, increasing the volume of security alerts generated from security controls. Security Operations Centre SOC analysts triage these alerts to identify malicious activity, but they struggle with alert fatigue due to t...

requests: subsequent requests to the same host ignore cert verification

An incorrect control flow implementation vulnerability was found in Requests. If the first request in a session is made with verify=False, all subsequent requests to the same host will continue to ignore cert verification...

golang-fips: Golang FIPS zeroed buffer

A vulnerability was found in Golang FIPS OpenSSL. This flaw allows a malicious user to randomly cause an uninitialized buffer length variable with a zeroed buffer to be returned in FIPS mode. It may also be possible to force a false positive match between non-equal hashes when comparing a trusted...

RuleGenie: SIEM Detection Rule Set Optimization

SIEM systems serve as a critical hub, employing rule-based logic to detect and respond to threats. Redundant or overlapping rules in SIEM systems lead to excessive false alerts, degrading analyst performance due to alert fatigue, and increase computational overhead and response latency for actual...

Weaponizing Language Models for Cybersecurity Offensive Operations: Automating Vulnerability Assessment Report Validation; a Review Paper

This, with the ever-increasing sophistication of cyberwar, calls for novel solutions. In this regard, Large Language Models LLMs have emerged as a highly promising tool for defensive and offensive cybersecurity-related strategies. While existing literature has focused much on the defensive use of...

PT-2025-29002

Name of the Vulnerable Software and Affected Versions: Linux kernel affected versions not specified Description: The Linux kernel contains a flaw within the kernfs subsystem related to the active reference lifecycle and draining guard mechanisms. The kernfs should drain open files check was overl...

AI-Driven IRM: Transforming Insider Risk Management with Adaptive Scoring and LLM-Based Threat Detection

Insider threats pose a significant challenge to organizational security, often evading traditional rule-based detection systems due to their subtlety and contextual nature. This paper presents an AI-powered Insider Risk Management IRM system that integrates behavioral analytics, dynamic risk...

InsightIDR AI Alert Triage Automatically Classifies Alerts with 99.93% Accuracy

Rapid7 AI Alert Triage helps SOC analysts quickly and accurately triage thousands of daily alerts, improving efficiency and enabling focus. One universal truth in Security Operations Centers SOCs is that analysts are overwhelmed by the high volume of alerts they receive. In a recent survey, SOC...

Medium: python3.12-pip

Issue Overview: Requests is a HTTP library. Prior to 2.32.0, when making requests through a Requests Session, if the first request is made with verify=False to disable cert verification, all subsequent requests to the same host will continue to ignore cert verification regardless of changes to th...

PT-2025-27635

Name of the Vulnerable Software and Affected Versions: Linux kernel versions prior to the version that includes the fix for the issue described Description: The issue is related to a false positive warning in the Linux kernel, specifically in the drm/amd/display component. This warning occurs due...

Virtuozzo Hybrid Infrastructure 6.3 Update 1 Hotfix 2 (6.3.1-121)

This update provides stability fixes. Vulnerability id: VSTOR-88806 Live migration failed for VMs with both vstorage and iSCSI volumes. Vulnerability id: VSTOR-89155 Fixed the false-positive alerts "Virtual machine state mismatch" and "Volume attachment details mismatch." Vulnerability id:...

Breaking the Flow and the Bank: Stealthy Cyberattacks on Water Network Hydraulics

As water distribution networks WDNs become increasingly connected with digital infrastructures, they face greater exposure to cyberattacks that threaten their operational integrity. Stealthy False Data Injection Attacks SFDIAs are particularly concerning, as they manipulate sensor data to...

The Exposure Validation Revolution: From Hoping to Knowing

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. Click right here to hear it all on the Exposure Validation Revolution! Imagine your security team...

Valkyrie: a Response Framework to Augment Runtime Detection of Time-Progressive Attacks

A popular approach to detect cyberattacks is to monitor systems in real-time to identify malicious activities as they occur. While these solutions aim to detect threats early, minimizing damage, they suffer from a significant challenge due to the presence of false positives. False positives have ...

Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: a Systematic Review

The Internet of Things IoT has significantly expanded the digital landscape, interconnecting an unprecedented array of devices, from home appliances to industrial equipment. This growth enhances functionality, e.g., automation, remote monitoring, and control, and introduces substantial security...