Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load() due to improper logic in the repository trust verification mechanism. While the function is designed to warn users when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks. When chained with file-system vulnerabilities, an attacker can silently exfiltrate sensitive files (SSH keys, cloud credentials) from the victim's machine the moment the model is loaded. As of time of publication, no known patched versions are available.

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.38, the cloud deployment path in src/bentoml/_internal/cloud/deployment.py was not included in the fix for CVE-2026-33744. Line 1648 interpolates system_packages directly into a shell command using an f-string without any quoting. The generated script is uploaded to BentoCloud as setup.sh and executed on the cloud build infrastructure during deployment, making this a remote code execution on the CI/CD tier. This vulnerability is fixed in 1.4.38.

Kestra is an open-source, event-driven orchestration platform. Prior to version 1.3.7, Kestra (default docker-compose deployment) contains a SQL Injection vulnerability that leads to Remote Code Execution (RCE) in the following endpoint "GET /api/v1/main/flows/search". Once a user is authenticated, simply visiting a crafted link is enough to trigger the vulnerability. The injected payload is executed by PostgreSQL using COPY ... TO PROGRAM ..., which in turn runs arbitrary OS commands on the host. This issue has been patched in version 1.3.7.

A path traversal and arbitrary file write vulnerability exist in the embedded get function in '_main_.py' in PyMuPDF version, 1.26.5.

Kamailio is an open source implementation of a SIP Signaling Server. Prior to 6.1.1, 6.0.6, and 5.8.8, an out-of-bounds access in the core of Kamailio (formerly OpenSER and SER) allows remote attackers to cause a denial of service (process crash) via a specially crafted data packet sent over TCP. The issue impacts Kamailio instances having TCP or TLS listeners. This vulnerability is fixed in 5.1.1, 6.0.6, and 5.8.8.

Kamailio is an open source implementation of a SIP Signaling Server. Prior to 6.0.5 and 5.8.7, an out-of-bounds read in the auth module of Kamailio (formerly OpenSER and SER) allows remote attackers to cause a denial of service (process crash) via a specially crafted SIP packet if a successful user authentication without a database backend is followed by additional user identity checks. This vulnerability is fixed in 6.0.5 and 5.8.7.

Zammad is a web based open source helpdesk/customer support system. Prior to 7.0.1 and 6.5.4, unauthenticated remote attackers were able to access the getting started endpoint to get access to sensitive internal entity data, even after the system setup was completed. This vulnerability is fixed in 7.0.1 and 6.5.4.

Zammad is a web based open source helpdesk/customer support system. Prior to 7.0.1, customers in shared organizations (means they can see each other's tickets) could see fields which are not intended for customers - including fields not intended for them at all (e.g. priority, custom ticket attributes for internal purposes). This was the case when a customer opened a ticket from another user of the same shared organization. They are not able to modify these field. This vulnerability is fixed in 7.0.1.

Zammad is a web based open source helpdesk/customer support system. Prior to 7.0.1 and 6.5.4, the used endpoint for ticket creation was missing authorization if the related parameter for adding links is used. This vulnerability is fixed in 7.0.1 and 6.5.4.

Zammad is a web based open source helpdesk/customer support system. Prior to 7.0.1, a server-side template injection vulnerability which leads to RCE via AI Agent exists. Impact is limited to environments where an attacker can control or influence type_enrichment_data (typically high-privilege administrative configuration). This vulnerability is fixed in 7.0.1.