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...

Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction

As the number of web applications and API endpoints exposed to the Internet continues to grow, so does the number of exploitable vulnerabilities. Manually identifying such vulnerabilities is tedious. Meanwhile, static security scanners tend to produce many false positives. While machine...

Everything You Wanted to Know about LLM-Based Vulnerability Detection but Were Afraid to Ask

Large Language Models are a promising tool for automated vulnerability detection, thanks to their success in code generation and repair. However, despite widespread adoption, a critical question remains: Are LLMs truly effective at detecting real-world vulnerabilities? Current evaluations, which...

“I sent you an email from your email account,” sextortion scam claims

In a new version of the old “Hello pervert” emails, scammers are relying on classic email spoofing techniques to try and convince victims that they have lost control of their email account and computer systems. Email spoofing basically comes down to sending emails with a false sender address, a...

CVE-2021-27289

The CVE-2021-27289 entry concerns a replay-attack weakness in a Zigbee-based Ksix smart home kit. Affected components are Zigbee Gateway Module v1.0.3, Door Sensor v1.0.7, and Motion Sensor v1.0.12. The root cause is an improper implementation of Zigbee’s anti-replay mechanism (frame counter-base...

CVE-2025-32111

The Docker image from acme.sh before 40b6db6 is based on a .github/workflows/dockerhub.yml file that lacks "persist-credentials: false" for actions/checkout...

PT-2025-14858 · Acme.Sh · Acme.Sh

Name of the Vulnerable Software and Affected Versions: acme.sh versions prior to 40b6db6 Description: The issue concerns a Docker image of acme.sh that is based on a .github/workflows/dockerhub.yml file. This file lacks the "persist-credentials: false" setting for actions/checkout, which may lead...

PT-2025-25848

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description A vulnerability in the Linux kernel has been identified, specifically in the vhost-scsi completion path. The issue arises when the vhost-scsi completion path accesses vq-log base while...