CVE-2026-10616

A weakness has been identified in nextlevelbuilder GoClaw up to 3.11.3. The impacted element is the function TeamTasksTool.executeComplete of the file internal/tools/teamtaskslifecycle.go of the component Team Task Completion Handler. Executing a manipulation can lead to missing authorization. Th...

CVE-2026-10616

A weakness has been identified in nextlevelbuilder GoClaw up to 3.11.3. The impacted element is the function TeamTasksTool.executeComplete of the file internal/tools/teamtaskslifecycle.go of the component Team Task Completion Handler. Executing a manipulation can lead to missing authorization. Th...

EUVD-2026-34002

A weakness has been identified in nextlevelbuilder GoClaw up to 3.11.3. The impacted element is the function TeamTasksTool.executeComplete of the file internal/tools/teamtaskslifecycle.go of the component Team Task Completion Handler. Executing a manipulation can lead to missing authorization. Th...

CVE-2026-10616

CVE-2026-10616 affects nextlevelbuilder GoClaw up to 3.11.3. The vulnerability resides in TeamTasksTool.executeComplete (internal/tools/team_tasks_lifecycle.go), where a manipulation can lead to missing authorization. The issue can be exploited remotely and the exploit has been made publicly avai...

CVE-2026-10591 Kiro IDE Insufficient File Write Restrictions to Execution-Sensitive Paths

Insufficient access control restrictions in the file write tool in Amazon Kiro IDE before version 0.11 might allow remote unauthenticated actors to execute arbitrary commands via crafted instructions that cause writes to execution-sensitive paths such as .vscode/tasks.json, enabling auto-executio...

CVE-2026-49157

Incorrect Default Permissions vulnerability in Apache ActiveMQ. This issue affects Apache ActiveMQ: before 5.19.7, from 6.0.0 before 6.2.6. The default Jolokia authorization settings granted non-admin low-privilege web-login accounts access to Jolokia operations which allowed executing broker...

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...

Apache Airflow security vulnerabilities

Apache Airflow is an open-source platform developed by the Apache Foundation in the United States. It allows for the creation, management, and monitoring of workflows. Versions of Apache Airflow prior to 3.2.2 contained security vulnerabilities. These vulnerabilities stemmed from the XCom PATCH...

MAL-2026-5142 Malicious code in @redhat-cloud-services/insights-client (npm)

Part of the "Mini Shai-Hulud" supply chain worm campaign that compromised the GitHub Actions OIDC trusted publisher shared by Red Hat Cloud Services npm packages. The attacker injected a preinstall hook into this and 31 other packages in the @redhat-cloud-services scope. The hook delivers a...

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, ...

Mermaid 安全漏洞

Mermaid is an open-source application developed by mermaid-js. It uses text and code to create charts and visualizations. Versions of Mermaid prior to 10.9.6 and 11.15.0 have security vulnerabilities. These vulnerabilities arise from the use of the excludes property when rendering Gantt charts; i...

CVE-2026-46223 cgroup: Defer css percpu_ref kill on rmdir until cgroup is depopulated

In the Linux kernel, the following vulnerability has been resolved: cgroup: Defer css percpuref kill on rmdir until cgroup is depopulated A chain of commits going back to v7.0 reworked rmdir to satisfy the controller invariant that a subsystem's -cssoffline must not run while tasks are still doin...

CVE-2026-46544 Microsoft UFO reuses client-supplied WebSocket session IDs and replays stale task results to new authenticated requesters

Microsoft UFO open-source framework for intelligent automation across devices and platforms. In 3.0.1-4-ge2626659, Microsoft UFO accepts client-supplied sessionid values in WebSocket task messages and reuses an existing in-memory session object if that sessionid already exists. If a prior session...

CVE-2026-46544

Microsoft UFO open-source framework for intelligent automation across devices and platforms. In 3.0.1-4-ge2626659, Microsoft UFO accepts client-supplied sessionid values in WebSocket task messages and reuses an existing in-memory session object if that sessionid already exists. If a prior session...

PT-2026-44122

Name of the Vulnerable Software and Affected Versions Microsoft UFO version 3.0.1-4-ge2626659 Description Microsoft UFO is an open-source framework for intelligent automation across devices and platforms. The software accepts client-supplied session id values in WebSocket task messages and reuses...

CVE-2026-48900

An improper access check allowed low privileged users to edit the task types of existing scheduler tasks...

CVE-2026-48900

An improper access check allowed low privileged users to edit the task types of existing scheduler tasks...

EUVD-2026-31879

An improper access check allowed low privileged users to edit the task types of existing scheduler tasks...

PT-2026-43318

Name of the Vulnerable Software and Affected Versions The product name cannot be determined affected versions not specified Description An improper access check allows low privileged users to edit the task types of existing scheduler tasks. Recommendations At the moment, there is no information...

SEED: Semi-Supervised Continual MalwarE Detection for Tackling ConcEpt Drift on a BuDget

Machine learning based malware detectors become obsolete over time due to concept drift in benign and malware applications. Recent methods rely on fully labeled data and use hierarchical contrastive loss HCL with active learning to improve robustness against drift by exploiting semantic structure...