Permissive Cross-domain Policy with Untrusted Domains

Overview Affected versions of this package are vulnerable to Permissive Cross-domain Policy with Untrusted Domains in the SSE initialization handler due to the use of a hardcoded Access-Control-Allow-Origin: header. An attacker can gain unauthorized access to sensitive resources by exploiting DNS...

EUVD-2026-32672

Vulnerable to DNS rebinding attacks when using SSE http://b/499408790. During the beta phase, we implemented allowed-origins and allowed-hosts flags to align with MCP security guidelines. However, the hardcoded Access-Control-Allow-Origin: header in the SSE initialization handler was inadvertentl...

CVE-2026-9739

Vulnerable to DNS rebinding attacks when using SSE http://b/499408790. During the beta phase, we implemented allowed-origins and allowed-hosts flags to align with MCP security guidelines. However, the hardcoded Access-Control-Allow-Origin: header in the SSE initialization handler was inadvertentl...

CVE-2026-9739

Vulnerable to DNS rebinding attacks when using SSE http://b/499408790. During the beta phase, we implemented allowed-origins and allowed-hosts flags to align with MCP security guidelines. However, the hardcoded Access-Control-Allow-Origin: header in the SSE initialization handler was inadvertentl...

CVE-2026-9739

Vulnerable to DNS rebinding attacks when using SSE http://b/499408790. During the beta phase, we implemented allowed-origins and allowed-hosts flags to align with MCP security guidelines. However, the hardcoded Access-Control-Allow-Origin: header in the SSE initialization handler was inadvertentl...

CVE-2026-9739

CVE-2026-9739 describes a DNS rebinding vulnerability due to a hardcoded Access-Control-Allow-Origin: * in the SSE initialization handler, despite earlier attempts to align with MCP security guidelines using allowed-origins and allowed-hosts. The issue specifically affects users connecting via To...

CVE-2026-9739

Vulnerable to DNS rebinding attacks when using SSE http://b/499408790. During the beta phase, we implemented allowed-origins and allowed-hosts flags to align with MCP security guidelines. However, the hardcoded Access-Control-Allow-Origin: header in the SSE initialization handler was inadvertentl...

PT-2026-44123

Name of the Vulnerable Software and Affected Versions Toolbox affected versions not specified Description The software is susceptible to DNS rebinding attacks when using Server-Sent Events SSE under specification v2024-11-05. This occurs because the SSE initialization handler retains a hardcoded...

Google MCP Toolbox for Databases 安全漏洞

Google MCP Toolbox for Databases is an open-source Model Context Protocol MCP server developed by Google, Inc. There is a security vulnerability in Google MCP Toolbox for Databases. This vulnerability arises from the susceptibility to DNS redirection attacks when using SSE, and the hard-coded...

Dify: When Your AI Platform Becomes the Attack Surface

Executive Summary We identified a couple of vulnerabilities in AI automation platform Dify resulting in cross-tenant sensitive information disclosure and one-click account takeover. These findings reinforce the pattern we documented in our previous n8n blogpost: even though AI automation platform...

Deserialization of Untrusted Data

Overview adversarial-robustness-toolbox is a Toolbox for adversarial machine learning. Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the model loading process. An attacker can execute arbitrary code by uploading a maliciously crafted model file to an...

EUVD-2026-29552

The Adversarial Robustness Toolbox ART thru 1.20.1 contains an insecure deserialization vulnerability CWE-502 in its Kubeflow component's model loading functionality. When loading model weights from a file e.g., model.pt during robustness evaluation, the code uses torch.load without the...

EUVD-2026-29553

The Adversarial Robustness Toolbox ART thru 1.20.1 contains a command-line argument injection vulnerability in its Kubeflow component robustnessevaluationfgsmpytorch.py. The script uses the unsafe eval function to parse string values provided via the --clipvalues and --inputshape command-line...

CVE-2026-31230

The Adversarial Robustness Toolbox ART thru 1.20.1 contains a command-line argument injection vulnerability in its Kubeflow component robustnessevaluationfgsmpytorch.py. The script uses the unsafe eval function to parse string values provided via the --clipvalues and --inputshape command-line...

CVE-2026-31230

The Adversarial Robustness Toolbox ART thru 1.20.1 contains a command-line argument injection vulnerability in its Kubeflow component robustnessevaluationfgsmpytorch.py. The script uses the unsafe eval function to parse string values provided via the --clipvalues and --inputshape command-line...

CVE-2026-31229

The Adversarial Robustness Toolbox ART thru 1.20.1 contains an insecure deserialization vulnerability CWE-502 in its Kubeflow component's model loading functionality. When loading model weights from a file e.g., model.pt during robustness evaluation, the code uses torch.load without the...

CVE-2026-31230

The CVE-2026-31230 vulnerability concerns the Adversarial Robustness Toolbox (ART) up to v1.20.1, specifically in its Kubeflow component (robustness_evaluation_fgsm_pytorch.py). The issue arises from using unsafe eval() to parse string values passed via --clip_values and --input_shape, enabling a...

CVE-2026-31228

The Adversarial Robustness Toolbox ART thru 1.20.1 contains a remote code execution vulnerability in its Kubeflow component. The robustness evaluation function for PyTorch models uses the unsafe eval function to dynamically evaluate user-supplied strings for the LossFn and Optimizer parameters...

Adversarial Robustness Toolbox 安全漏洞

Adversarial Robustness Toolbox is an open-source machine learning security defense and evaluation tool developed by Trusted-AI. Versions of Adversarial Robustness Toolbox 1.20.1 and earlier contained security vulnerabilities. These vulnerabilities stemmed from the robustnessevaluationfgsmpytorch....

Adversarial Robustness Toolbox 安全漏洞

Adversarial Robustness Toolbox is an open-source machine learning security defense and evaluation tool developed by Trusted-AI. Versions of Adversarial Robustness Toolbox 1.20.1 and earlier contained security vulnerabilities. These vulnerabilities stemmed from the robustness evaluation function i...