CVE-2026-68559: Authorization Bypass Through User-Controlled Key

Wekan is open source kanban built with Meteor. From 9.57 until 9.74, the /api/boards/:boardId/exportExcel route in models/exportExcel.js called the asynchronous exporterExcel.canExportuser authorization guard from models/server/ExporterExcel.js without awaiting it. The returned Promise was always...

PT-2026-92101

Name of the Vulnerable Software and Affected Versions atomic-agents-stack versions prior to 1.1.0 Description A cost-guardrail bypass exists in the estimate batch cost function within atomic agents/agent.py. The function uses PRICING.getmodel, to look up per-model output prices, which returns a...

Proving the Utility of Large Language Models in Cybersecurity Simulations: A Comprehensive Examination

Cyber threats continue to escalate in both frequency and sophistication, necessitating more adaptive and scalable defense strategies. This paper explores how Large Language Models LLMs can bolster cybersecurity simulations by automating the creation of synthetic environments and identifying laten...

Exploit for CVE-2026-8508

CVE-2026-8508: Zyxel Captive-Portal Bypass via Trusted Browser...

A Hybrid LLM-Based Framework for Automated Security Annotation Generation in Business Process Models

The modelling and analysis of secure business processes require the incorporation of security annotations into process models. Although BPMN extensions, including SecBPMN2, exist for this purpose, the derivation of accurate and complete security annotations from natural-language specifications...

Finding Vulnerabilities Via LLM-Augmented Semantics-Aware Type-Checking

Vulnerability detection via static analysis traditionally relies on security experts encoding insecure coding patterns into algorithmic rules. However, this approach often focuses on syntactic patterns and overlooks deeper semantic information in the code, such as the meanings of variable and...

CVE-2026-72629 Authorization Bypass Through User-Controlled Key in Kibana Leading to Cross-Space Access to Machine Learning Trained Models

Authorization Bypass Through User-Controlled Key CWE-639 in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs CAPEC-1. The result is disclosure of inference output from a trained model in a different space that the user is not authoriz...

CVE-2026-72629

The issue CVE-2026-72629 affects Kibana and allows Authorization Bypass Through User-Controlled Key (CWE-639), enabling unauthorized cross-space access to machine learning model behavior and impacting deployment operations. According to the Elastic advisory, affected versions span all 8.19.0–8.19...

CVE-2026-72671

A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jo...

CVE-2026-72671

A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jo...

Kibana 8.19.20, 9.4.5, 9.5.1 Security Update (ESA-2026-126)

Authorization Bypass Through User-Controlled Key in Kibana Leading to Cross-Space Access to Machine Learning Trained Models Description: Authorization Bypass Through User-Controlled Key CWE-639 in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly...

inspect_petri v3.1.0

Inspect Petri Welcome to Inspect Petri, an auditing agent that enables automated monitoring and interaction with language models to detect potential alignment issues, reward hacking, and other concerning behaviors. Petri helps you rapidly test concrete alignment hypotheses end‑to‑end. It: Generat...

CVE-2026-72642: Use of Out-of-range Pointer Offset

The native inference process that Elasticsearch uses to evaluate uploaded machine learning models accepts a model operation that computes a memory address from an offset supplied inside the model, without validating that the offset stays within the bounds of the underlying storage. A user with th...

CVE-2026-73655: Improper Authentication

Trigger.dev is a platform for building and deploying fully managed AI agents and workflows. Prior to 4.5.2, addGoogleStrategy in apps/webapp/app/services/googleAuth.server.ts passes a Google profile email to findOrCreateGoogleUser in apps/webapp/app/models/user.server.ts without requiring Google'...

Adversarial Robustness in Smishing Detection: A Comparative Analysis of Adversarial Fragility in Classical Vs. Transformer-Based Detection Systems

Smishing detection systems are commonly trained and evaluated on clean, monolingual text. In low-resource settings, however, attackers frequently circumvent these systems through character obfuscation, cross-lingual code-switching, and structural perturbation. This study evaluates adversarial...

Sovereign by Necessity? Frontier AI Export Controls, Cyber Security, and the Limits of National AI Capability

A small number of firms based in two states produce the most capable frontier AI models. The governments of those states have shown both the legal power and the political will to decide which other countries may use these systems. In June 2026 the United States required a leading developer to...

CVE-2026-21400

Protection mechanism failure for some IntelR AI Reference Models before version v3.4.1 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of privilege. This resul...

CVE-2026-21400

Protection mechanism failure for some IntelR AI Reference Models before version v3.4.1 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of privilege. This resul...

CVE-2026-21400

Protection mechanism failure for some IntelR AI Reference Models before version v3.4.1 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of privilege. This resul...

EUVD-2026-56516

Protection mechanism failure for some IntelR AI Reference Models before version v3.4.1 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of privilege. This resul...