PT-2026-46930

In Teltonika Networks RUTOS devices, running versions 7.22 through 7.23.2 and TSWOS devices running versions 1.09 through 1.09.1, due to unsafe calls to an eval function in rpc-profile, a vulnerability exists where a lower privileged user could perform command injection as the root user...

PT-2026-46148

Name of the Vulnerable Software and Affected Versions The product name cannot be determined affected versions not specified Description The system fails to evaluate instructional permissions over multiple internal operation codes opcodes, which are the machine language instructions that the CPU...

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks

Rule-based Intrusion Detection and Prevention Systems IDPS offer precise attack detection as well as mitigation, however their manually crafted, signature-driven rules limit adaptability to emerging and zero-day threats. Additionally, existing public datasets e.g., CICIDS2017, UNSW-NB15 focus on...

TeleHunt: A Framework and Tool for Efficient Cybercriminal Community Discovery on Telegram

This paper presents TeleHunt, a framework and tool for evaluating the effectiveness of different strategies to discover cybercriminal communities on Telegram. TeleHunt employs a set of reference-driven snowballing strategies, integrating message-level classification, contextual filtering, and...

CyberGym-E2E: Scalable Real-World Benchmark for AI Agents' End-To-End Cybersecurity Capabilities

AI has the potential to transform cybersecurity by enabling systems that can autonomously detect, analyze, and remediate software vulnerabilities. However, existing cybersecurity evaluations of AI systems are limited in scale or scope, and fail to capture the end-to-end lifecycle of real-world...

Zafran vs Hive Pro: CTEM Platform Comparison

Persistent exposure backlogs do not shrink when teams chase every critical finding. Buyers need a CTEM platform that shows which risks demand action right now. Evaluate Uni5 Xposure for a threat-informed CTEM program. Zafran vs Hive Pro compares two CTEM platforms designed to focus security teams...

The Role of Domain-Specific Features in Malware Detection: A MacOS Case Study

Despite the growing popularity of macOS among end users and enterprise systems, malware research has primarily focused on Windows and Android operating systems, leaving the problem of macOS malware detection relatively unexplored. Indeed, the specificity of the operating system and the unique...

SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents

Autonomous LLM agents increasingly operate in stateful environments where they access tools, files, memory, and external services. While such capabilities enable complex real-world workflows, they also introduce security risks that are difficult to capture with existing evaluations. Current agent...

Poking around in the Dark: Why a Shared Understanding of Components Matters

By listing the components included in an application, Software Bills of Materials SBOMs are intended to support the timely identification of vulnerable components and ensure the security of the software supply chain. However, we question the underlying assumption that there is agreement on the...

Cross-Vendor Sola ISPM Benchmark: Evaluating Agentic AI for Federated Identity Security Reasoning

The rapid proliferation of multi-cloud and SaaS platforms has transformed Identity Security Posture Management ISPM into a fundamentally cross-vendor challenge: critical misconfigurations and privilege escalation paths increasingly span multiple identity providers, infrastructure layers, and...

A New Framework for Cybersecurity Refusals in AI Agents

Agentic scaffolds have dramatically improved LLM performance on complex, long-horizon tasks, yielding both broad benefits and amplified risks in domains like cybersecurity. Existing benchmarks for AI agents in cybersecurity focus mainly on measuring proficiency--how effectively agents can complet...

CVE-2026-45697

Formie is a Craft CMS plugin for creating forms. Prior to 2.2.20 and 3.1.24, unauthenticated users could submit crafted values into Hidden fields with Default value → Custom that were evaluated as Twig during submission handling, which could lead to serious compromise of the Craft site depending ...

CVE-2026-45697 Formie: Pre-authenticated server-side template injection in Hidden fields

Formie is a Craft CMS plugin for creating forms. Prior to 2.2.20 and 3.1.24, unauthenticated users could submit crafted values into Hidden fields with Default value → Custom that were evaluated as Twig during submission handling, which could lead to serious compromise of the Craft site depending ...

EUVD-2026-33421

Formie is a Craft CMS plugin for creating forms. Prior to 2.2.20 and 3.1.24, unauthenticated users could submit crafted values into Hidden fields with Default value → Custom that were evaluated as Twig during submission handling, which could lead to serious compromise of the Craft site depending ...

CVE-2026-45697

Formie (Craft CMS plugin) exposes a pre-authenticated server-side template injection via Hidden fields configured with Default value → Custom. Unauthenticated users could submit crafted values that are evaluated as Twig during submission handling, potentially compromising the Craft site. Affected...

Improving IoT Intrusion Detection through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data

The detection of intrusions in IoT-based networks poses challenges that cannot be overcome using traditional machine learning methods. Perhaps the biggest of them is related to the presence of a class imbalance in the side-channel dataset, where the number of samples in the normal class compared ...

Formie for Craft CMS 安全漏洞

Formie for Craft CMS is a form plugin for the Craft CMS developed by Verbb. Versions prior to 2.2.20 and 3.1.24 of Formie for Craft CMS had security vulnerabilities. These vulnerabilities stemmed from the possibility for unverified users to submit custom values into hidden fields. These values we...

BadBone: Backdoor Attacks against Backbone Models in Visual Prompt Learning

Prompt learning is a new machine learning paradigm that has attracted ample attention due to its simplicity and proven efficacy. Despite its growing adoption, the security vulnerabilities associated with this paradigm remain underexplored. In this work, we take the first step to propose BadBone, ...

PT-2026-45050

Name of the Vulnerable Software and Affected Versions PraisonAI affected versions not specified Description The first-party A2A server example in PraisonAI contains a critical chain that allows remote code execution. The example binds the server to 0.0.0.0 and exposes the /a2a endpoint without...

Arbitrary Code Injection

Overview Affected versions of this package are vulnerable to Arbitrary Code Injection via the dynamic evaluation of user-supplied algorithm code in the script evaluation engine. An attacker can execute arbitrary operating system commands by injecting malicious Jython code through the REST API whe...