CVE-2025-4686

CVE-2025-4686 concerns an SQL Injection in Kodmatic Computer Software’s Online Exam and Assessment product. The issue is described as improper neutralization of special elements used in SQL commands, enabling an injection that can impact confidentiality (low), integrity (low), and availability (h...

CLEANSTART-2026-BZ92766 beego is an open-source web framework for the Go programming language

Multiple security vulnerabilities affect the harbor-fips package. beego is an open-source web framework for the Go programming language. See references for individual vulnerability details...

CLEANSTART-2026-QK01721 go-redis is the official Redis client library for the Go programming language

Multiple security vulnerabilities affect the harbor-registry-fips package. go-redis is the official Redis client library for the Go programming language. See references for individual vulnerability details...

CLEANSTART-2026-ZO91195 go-redis is the official Redis client library for the Go programming language

Multiple security vulnerabilities affect the harbor-registry-fips package. go-redis is the official Redis client library for the Go programming language. See references for individual vulnerability details...

CVE-2025-26385

Johnson Controls Metasys component listed below have Improper Neutralization of Special Elements used in a Command Command Injection Vulnerability . Successful exploitation of this vulnerability could allow remote SQL execution This issue affects Metasys: Application and Data Server ADS installed...

CVE-2025-26385

Johnson Controls Metasys component listed below have Improper Neutralization of Special Elements used in a Command Command Injection Vulnerability . Successful exploitation of this vulnerability could allow remote SQL execution This issue affects Metasys: Application and Data Server ADS installed...

Evaluating Large Language Models for Security Bug Report Prediction

Early detection of security bug reports SBRs is critical for timely vulnerability mitigation. We present an evaluation of prompt-based engineering and fine-tuning approaches for predicting SBRs using Large Language Models LLMs. Our findings reveal a distinct trade-off between the two approaches...

No More, No Less: Least-Privilege Language Models

Least privilege is a core security principle: grant each request only the minimum access needed to achieve its goal. Deployed language models almost never follow it, instead being exposed through a single API endpoint that serves all users and requests. This gap exists not because least privilege...

PT-2026-5430

Name of the Vulnerable Software and Affected Versions itsourcecode Student Management System version 1.0 Description A security issue exists in itsourcecode Student Management System 1.0 related to the processing of the file '/enrollment/index.php'. Manipulation of the ID argument can lead to SQL...

CVE-2025-69662

SQL injection vulnerability in geopandas before v.1.1.2 allows an attacker to obtain sensitive information via the topostgis function being used to write GeoDataFrames to a PostgreSQL database...

Semantic-Aware Advanced Persistent Threat Detection Using Autoencoders on LLM-Encoded System Logs

Advanced Persistent Threats APTs are among the most challenging cyberattacks to detect. They are carried out by highly skilled attackers who carefully study their targets and operate in a stealthy, long-term manner. Because APTs exhibit "low-and-slow" behavior, traditional statistical methods and...

MediaWiki - DiscussionTools Extension security vulnerabilities

MediaWiki - DiscussionTools Extension is an open-source discussion page plugin for MediaWiki. The versions 1.44 and 1.43 of the MediaWiki - DiscussionTools Extension contain security vulnerabilities. These vulnerabilities stem from improper handling of special elements within expressions language...

Fast-XML-Parser security vulnerability

fast-xml-parser is an open-source library developed by Natural Intelligence. It is used for quickly validating, parsing, and processing XML files without relying on C/C++-based libraries or callbacks. There are security vulnerabilities in the versions of fast-xml-parser from 4.3.6 to 5.3.3. These...

The Semantic Trap: Do Fine-Tuned LLMs Learn Vulnerability Root Cause or Just Functional Pattern?

LLMs demonstrate promising performance in software vulnerability detection after fine-tuning. However, it remains unclear whether these gains reflect a genuine understanding of vulnerability root causes or merely an exploitation of functional patterns. In this paper, we identify a critical failur...

AEGIS: White-Box Attack Path Generation Using LLMs and Training Effectiveness Evaluation for Large-Scale Cyber Defence Exercises

Creating attack paths for cyber defence exercises requires substantial expert effort. Existing automation requires vulnerability graphs or exploit sets curated in advance, limiting where it can be applied. We present AEGIS, a system that generates attack paths using LLMs, white-box access, and...

Now You Hear Me: Audio Narrative Attacks against Large Audio-Language Models

Large audio-language models increasingly operate on raw speech inputs, enabling more seamless integration across domains such as voice assistants, education, and clinical triage. This transition, however, introduces a distinct class of vulnerabilities that remain largely uncharacterized. We exami...

Turning threat reports into detection insights with AI

Security teams routinely need to transform unstructured threat knowledge, such as incident narratives, red team breach-path writeups, threat actor profiles, and public reports into concrete defensive action. The early stages of that work are often the slowest. These include extracting tactics,...

Important: Red Hat Security Advisory: Red Hat Ansible Automation Platform 2.4 Container Release Update

An update is now available for Red Hat Ansible Automation Platform 2.4 Red Hat Ansible Automation Platform provides an enterprise framework for building, deploying and managing IT automation at scale. IT Managers can provide top-down guidelines on how automation is applied to individual teams,...

Researchers Find 175,000 Publicly Exposed Ollama AI Servers Across 130 Countries

A new joint investigation by SentinelOne SentinelLABS, and Censys has revealed that the open-source artificial intelligence AI deployment has created a vast "unmanaged, publicly accessible layer of AI compute infrastructure" that spans 175,000 unique Ollama hosts across 130 countries. These...

CVE-2026-1594

A security vulnerability has been detected in itsourcecode Society Management System 1.0. Affected by this issue is some unknown functionality of the file /admin/addexpenses.php. The manipulation of the argument detail leads to sql injection. Remote exploitation of the attack is possible. The...