318 matches found
Turn specs into evals for any agent with ASSERT
Today, we’re releasing Adaptive Spec-driven Scoring for Evaluation and Regression Testing ASSERT, an open-source framework for turning natural-language behavior specifications into executable evaluations. Every team building an AI system starts with a clear intention for the behaviors they want t...
NCMD: Benign-Anchored Feature Selection for Imbalanced Network Intrusion Detection
Feature selection is critical for network intrusion detection systems NIDS operating under high-dimensional, highly imbalanced traffic, as found in operational and defense networks. Traditional filter methods rank features using global statistics computed symmetrically across classes and thus fai...
CVE-2026-40904
Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. In version 4.9.0, Chartbrew exposes multiple dataset and dataRequest endpoints that authorize low-privileged project members at the team level instead of binding the...
FDM: A Framework for Decision-Making to Build ML-Based Malware Detection Systems
Selecting appropriate machine learning ML configurations for malware detection is a complex, multi-criteria problem. Model choice, feature engineering, and update mechanisms must jointly satisfy operational constraints that vary across deployment contexts. This paper proposes the Framework for...
Operationalizing Cyber Attack Prediction: A Gap-Prioritized Framework with Dataset and Model Selection Guidelines
While AI and machine learning for cyber attack prediction have advanced, a critical gap persists between theoretical research and practical operational deployment. Building on Ankalaki et al. 2025, this paper provides a comprehensive analysis of 150+ benchmark datasets and 200+ studies to identif...
AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security
Modern open-world agents such as OpenClaw exhibit powerful cross-environment execution capabilities yet introduce broad new safety risk sources. Meanwhile, advanced frontier AI models drastically lower attack barriers, rendering current agent alignment frameworks inadequate for real-world...
Introducing EvidenceForge: Synthetic security logs that don’t look (as) fake
Security teams need high-quality, labeled datasets to train threat hunters and incident responders, validate detection logic, and develop robust analytic models. EvidenceForge helps teams overcome the limitations of anonymized or stale public datasets, while avoiding the cost and complexity of...
The Fault in Our Drafts: Vulnerabilities in RPKI Specification and Software
The Resource Public Key Infrastructure RPKI secures the Internet's routing system by defining a complex trust and validation framework for certificates, Route Origin Authorizations ROAs, manifests, and Certificate Revocation Lists CRLs. These mechanisms are specified across dozens of RFCs. This...
Cybersecurity of Electric Vehicle Charging Infrastructure: Recent Advances, Open Challenges, and Future Directions
Electric Vehicles EVs have emerged as significant disruptors in the transportation sector over the past decade. Their growing popularity and adoption are accompanied by capital expenditures to deploy charging infrastructure. EV charging infrastructure sits at the intersection of the power grid, t...
UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection
The detection of previously unseen network attacks remains a major challenge for intrusion detection systems. Although supervised learning methods often perform well on known attack classes, they are limited when new attack types are not represented in the training data. Unsupervised methods are...
TriSweep: A Four-Drone Swarm Framework for Electromagnetic Side-Channel Analysis
Electromagnetic EM side-channel analysis traditionally assumes a stationary, close-proximity probe - a threat model that underestimates aerial adversaries. TriSweep is a simulation framework that designs and evaluates a four-drone swarm architecture for autonomous standoff EM-SCA of embedded...
Federated Naive Bayes with Real Mixture of Gaussians and Institutional Governance Regularization for Network Intrusion Detection
Federated learning for intrusion detection rests on a flawed premise: that every participating institution contributes equally to the shared model. In practice, a financial institution with mature security controls and low vulnerability exposure produces fundamentally different data than a...
a-mailx (=0.1.0), a2 (>=0.1.0 <=0.3.17) +632 more potentially affected by CVE-2026-42557 via jupyterlab (>=0.31.1 <=4.5.6)
jupyterlab PYPI version =0.31.1, =0.1.0, =0.1.0b0, =0.1.0b0, =0.1.0b0, =0.1.0, =0.5.5, =2.0.0, =0.1.1, =0.1.0, =3.0.0, =4.33.0, =5.0.0 and more Source cves: CVE-2026-42557 Source advisory: OSV:GHSA-MQCG-5X36-VFCG...
CVE-2026-7680
A weakness has been identified in jsbroks COCO Annotator up to 0.11.1. Affected is an unknown function of the file backend/webserver/api/datasets.py of the component Data Endpoint. Executing a manipulation of the argument folder can lead to path traversal. The attack can be launched remotely. The...
CVE-2026-7681 jsbroks COCO Annotator Dataset API datasets.py authorization
A security vulnerability has been detected in jsbroks COCO Annotator up to 0.11.1. Affected by this vulnerability is an unknown functionality of the file backend/webserver/api/datasets.py of the component Dataset API. The manipulation of the argument DatasetId leads to authorization bypass. The...
CVE-2026-7680
A weakness has been identified in jsbroks COCO Annotator up to 0.11.1. Affected is an unknown function of the file backend/webserver/api/datasets.py of the component Data Endpoint. Executing a manipulation of the argument folder can lead to path traversal. The attack can be launched remotely. The...
CVE-2026-7680 jsbroks COCO Annotator Data Endpoint datasets.py path traversal
A weakness has been identified in jsbroks COCO Annotator up to 0.11.1. Affected is an unknown function of the file backend/webserver/api/datasets.py of the component Data Endpoint. Executing a manipulation of the argument folder can lead to path traversal. The attack can be launched remotely. The...
EUVD-2026-26816
A weakness has been identified in jsbroks COCO Annotator up to 0.11.1. Affected is an unknown function of the file backend/webserver/api/datasets.py of the component Data Endpoint. Executing a manipulation of the argument folder can lead to path traversal. The attack can be launched remotely. The...
CVE-2026-7680
Technical details are not publicly available in the provided documents. Monitor for updates.
COCO Annotator 路径遍历漏洞
COCO Annotator is a web-based image annotation tool developed by Justin Brooks. It aims to provide versatility and efficient image annotation. Versions of COCO Annotator 0.11.1 and earlier contained a path traversal vulnerability. This vulnerability stemmed from an unknown function in the Data...