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| CVE | CVSS | EPSS | Vendor, product | Description | Modified |
|---|---|---|---|---|---|
| CVE-2026-69083exploit | 9.9 critical | 0.00% | no CPE yet | SiYuan versions before v3.7.3 contain SQL injection vulnerabilities in the fullTextSearchAssetContent endpoint reachable by unauthenticated users and publish RoleReader tokens. Attackers can execute arbitrary SQL on the read-write asset-content database via unescaped method parameters and REGEXP clauses to read, modify, or delete cross-notebook data. | 23 Oct |
| CVE-2026-44181 | 10.0 critical | 1.0% | jupyter, enterprise_gateway | Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. In versions 2.0.0rc2 and above, prior to 3.3.0, the environment variables (KERNEL_XXX) used during the rendering of the Kubernetes manifest are vulnerable to Server Side Template Injection (SSTI). By including Jinja2 template expressions it is possible to execution Python code and OS Commands in the Enterprise Gateway service. The code can use or steal the Kubernetes service account token, which can steal Kubernetes secrets and be used to fully compromise the Kubernetes cluster by scheduling a privileged pod or a pod with a hostPath volume mount. This issue has been fixed in version 3.3.0. | 24 Oct |
| CVE-2026-44182 | 10.0 critical | 1.0% | jupyter, enterprise_gateway | Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. In versions prior to 3.3.0, the server interpolates untrusted environment variables (e.g., KERNEL_XXX) into Kubernetes manifests without YAML-aware escaping, enabling YAML injection attacks. Attackers can inject new fields, overwrite critical fields (e.g., duplicate securityContext keys, where the last one prevails), and inject document boundaries (--- for new documents, ... for end-of-document) to generate multiple resources, potentially creating arbitrary types, such as privileged pods. The Jinja2 template for the Kubernetes manifest contains several kernel_xxx variables, such as kernel_working_dir that are used when rendering the manifest and are all vectors for YAML injection. This issue has been fixed in version 3.3.0. | 24 Oct |
| CVE-2026-44180 | 9.8 critical | 1.0% | jupyter, enterprise_gateway | Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. Versions 2.0.0rc1 and above prior to 3.3.0 have a prohibited UID and GID feature that by default prevents launching kernels with UID or GID 0 (root), and this restriction can be bypassed using a specially crafted KERNEL_UID or KERNEL_GID value. This input validation vulnerability allows running Jupyter kernels as root, which can be dangerous as it allows more attack surface, and may lead to container escapes, compromising the worker node and all workloads running on it. Repeated exploitation can compromise all worker nodes, and thus the entire Kubernetes cluster. It is possible to specify volume mounts, so one vector for a container escape is to use a hostPath R/W volume mount, use this UID/GID bypass to run as root, and then gain code execution in the underlying worker node by creating a crontab entry in the mounted host file system. This issue has been fixed in version 3.0.0. | 24 Oct |
| CVE-2026-31231 | 9.8 critical | 1.0% | no CPE yet | Cognee thru v0.4.0 contains a critical remote code execution vulnerability in its notebook cell execution API endpoint. The endpoint is designed to execute arbitrary Python code provided by the user, but it does so using the unsafe exec() function without any sandboxing, validation, or security controls. An attacker can exploit this by sending a specially crafted POST request containing malicious Python code to the execution endpoint. This leads to arbitrary code execution on the Cognee server with the privileges of the server process, allowing complete compromise of the system. | 19 Oct |
| CVE-2026-44727 | 9.3 critical | 0.00% | jupyter, jupyter_server | Jupyter Server is the backend for Jupyter web applications. Prior to 2.20, the nbconvert HTTP handlers in jupyter_server render user-authored notebook HTML under the Jupyter origin without a sandbox directive in their Content-Security-Policy. Combined with nbconvert.HTMLExporter's default non-sanitizing behavior, a notebook carrying an HTML payload in a display_data output triggers stored XSS with cookie access, full /api/* authority, and kernel RCE. This vulnerability is fixed in 2.20. | 25 Oct |
| CVE-2026-73608 | 9.2 critical | 0.00% | no CPE yet | SiYuan's development branch (endpoint introduced by commit 9b8e8956f, not present in v3.7.3 or master, patched in v3.7.4) contains a missing-authorization vulnerability in the /api/av/getAttributeViewSearchTarget endpoint. The route is registered with CheckAuth only and performs no authorization checks (no CheckReadonly, no publish-access or encrypted-notebook gating). Given a database identifier taken from a published page and a keyword, an anonymous reader can query the endpoint to retrieve matching database row content, including rows that publish filters (FilterAttributeViewByPublishAccess) would otherwise withhold. No released stable version is affected. | 24 Oct |
| CVE-2026-72793 | 9.2 critical | 0.00% | no CPE yet | SiYuan versions before v3.7.4 fail to mask sensitive configuration fields in the /api/system/getConf endpoint, allowing anonymous or publish-reader users to obtain the session-cookie signing key, OS username via pandoc path, and encrypted-notebook key material. Attackers can forge and tamper with session cookies to impersonate users, and on instances without access-auth codes configured, escalate to administrator privileges. | 24 Oct |
| CVE-2026-6290 | 9.1 critical | 0.00% | rapid7, velociraptor | Velociraptor versions prior to 0.76.3 contain a vulnerability in the query() plugin which allows access to all orgs with the user's current ACL token. This allows an authenticated GUI user with access in one org, to use the query() plugin, in a notebook cell, to run VQL queries on other orgs which they may not have access to. The user's permissions in the other org are the same as the permissions they have in the org containing the notebook. | Mon 26 Oct |
9 of 9
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EPSS scores: 2026-10-31. NVD cursor: 2026-10-29 00:22. The News page shows only notable CVEs (KEV, your stack, new criticals, EPSS over 50%, or active exploitation per SSVC); this table has all of them.