| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Shamefile is a linter for undocumented linter warnings. Prior to version 0.1.7, a path traversal vulnerability in `shame next` allows an attacker-controlled `shamefile.yaml` to disclose contents of files outside the repository, one line at a time, to the terminal of a user who runs the command. See patch commit for technical details. The issue is fixed in 0.1.7. Upgrade to either 0.1.7 or later versions to incorporate the patch. As a workaround, do not run `shame next` against untrusted `shamefile.yaml`. Use `shame me --dry-run` for CI validation. |
| The `@ai-sdk/harness-opencode` tool is an HarnessV1 adapter backed by @openai/codex-sdk, which drives the codex command line interface. Prior to version 1.0.29, the tool relay authorizes requests from any process whose command line contains an allowed helper script path (the Codex CLI shim). This allows untrusted code executing in the sandbox to invoke arbitrary host-exposed tools, including secret lookups, deployment operations, and cloud API calls without a corresponding model-authorized tool-call event. Exploitation requires a Linux environment (the vulnerable fallback checks `process.platform === 'linux'` and reads `/proc`); an active harness session with one or more host-provided tools; and untrusted code executing in the sandbox (e.g. a malicious dependency, build script, or lifecycle hook) The fix in version 1.0.29 removes the process-path authorization fallback entirely. Relay requests are now only accepted after exact, short-lived, one-time authorization matching the tool name and input from a bridge-observed model event. Some workarounds are available. Do not run the Codex harness on untrusted repositories or with untrusted dependencies, and/or limit host-exposed tools to non-sensitive operations when working with untrusted code. |
| A vulnerability was identified in Metasoft 美特软件 MetaCRM up to 6.4.0 Beta06. The impacted element is an unknown function of the file /business/qnaire/upload.jsp. Such manipulation of the argument File leads to unrestricted upload. The attack may be launched remotely. The exploit is publicly available and might be used. The vendor was contacted early about this disclosure but did not respond in any way. |
| Paymenter is a free and open-source webshop solution for management of hosting services. In versions prior to 1.5.5, the credit payment implementation in app/Livewire/Invoices/Show.php executes a pessimistic row lock (lockForUpdate()) outside of an active database transaction. Because MySQL/MariaDB requires an enclosing transaction to enforce row-level locks, the guard is ineffective. Concurrent payment requests can exploit this race condition to read the same credit balance simultaneously, allowing users to pay multiple invoices using the same credit balance. In database systems like MySQL, a row lock only works inside a formal transaction; without one, the lock is completely ignored. Because there is no active lock, two payment requests sent at the exact same millisecond can look at the database at the same time. Both requests see the original credit balance, decide it is sufficient, and approve the payment. Because the payment processes successfully through ExtensionHelper::addPayment(), the application provisions the corresponding services or digital goods, resulting in direct financial or resource loss to the platform. This issue has been fixed in version 1.5.5. |
| Paymenter is a free and open-source webshop solution for management of hosting services. In versions prior to 1.5.0, the email update functionality fails to invalidate the existing verification state when a user changes their email address, allowing a verified account to retain its verified status after switching to an unverified or unowned email address. When a user updated their email address, the system did not reset or revalidate the associated email verification status. As a result, the verification column remained set to “true” even after the email address was changed. Exploitation could potentially result in: misrepresentation of email ownership, bypass of verification-based trust assumptions, and abuse of features gated behind verified status. No direct unauthorized access to other users accounts or data is possible through this issue alone. This issue has been fixed in version 1.5.0. |
| NextCRM is open-source customer relationship management (CRM) software. The CRM product catalog is an organization-wide business object. Normal application server actions restrict product creation, update, and deletion to `manager` and `admin` roles. However, in version 0.12.1, the MCP product tools expose the same write operations through `/api/mcp/mcp` using user-generated Bearer tokens and do not enforce role checks. Any authenticated low-privileged user who can generate an MCP API token can create, modify, archive, or soft-delete products in the shared CRM product catalog. Version 0.12.3 contains a fix. |
| Insertion of sensitive information into a file in the Recovery Kit response file generation feature in Devolutions Server 2026.1.22.0, 2026.2.11.0 allows an attacker with access to the generated response file to obtain the Azure Key Vault client secret in cleartext, even when the option to exclude sensitive data is selected. |
| A Server-side request forgery (SSRF) vulnerability has been identified in the SMA1000 Appliance Work Place interface. A remote unauthenticated attacker could potentially cause the appliance to make requests to unintended location. |
| NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause uncontrolled resource consumption. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause an uncaught exception. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA TensorRT-LLM for Linux contains a vulnerability in the restricted unpickler used for model weight deserialization, where a local, unauthenticated attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| NVIDIA TensorRT-LLM contains a vulnerability in its inter-process communication layer where an attacker with local same-user access could cause deserialization. A successful exploit of this vulnerability might lead to code execution, information disclosure, data tampering, and denial of service. |
| NVIDIA TensorRT-LLM for any platform contains a vulnerability in tensor deserialization, where an attacker could cause a heap based buffer overflow. A successful exploit of this vulnerability might lead to information disclosure, data tampering, or denial of service. |
| NVIDIA TensorRT-LLM contains a vulnerability where an attacker could cause a write-what-where condition. A successful exploit of this vulnerability might lead to data tampering, denial of service, and information disclosure. |
| NVIDIA TensorRT-LLM for Linux contains a vulnerability in the disaggregated orchestrator component, where an attacker could read, write, or delete internal cluster state by sending requests to the FastAPI server. A successful exploit of this vulnerability might lead to information disclosure, data tampering, and denial of service. |
| NVIDIA TensorRT-LLM for Linux contains a vulnerability in the multimodal media fetching functions, where a network-accessible attacker could cause server-side request forgery. A successful exploit of this vulnerability might lead to denial of service and information disclosure. |
| NVIDIA TensorRT-LLM for any platform contains a vulnerability in visual gen server, where an attacker could cause an unsafe deserialization by unauthorized zeroMQ deserialization. A successful exploit of this vulnerability might lead to code execution. |
| NVIDIA TensorRT-LLM for Linux contains a vulnerability where an attacker could cause missing authentication for a critical function. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure. |
| NVIDIA TensorRT-LLM for any platform contains a vulnerability in the gRPC server chat API endpoint, where an attacker could cause CWE-20 by local attack. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA TensorRT-LLM contains a vulnerability in the OpenAI-compatible inference API where an attacker could trigger a reachable assertion in the sampler thread. A successful exploit of this vulnerability might lead to denial of service. |
