CVE Vulnerability Catalog
Translated CVE descriptions from NVD NIST — in English
CISA KEV catalog updated: (v2026.07.07)
A use after free vulnerability in Windows Hyper-V allows an unauthorized attacker to elevate privileges locally.
Azure Entra ID has an exposure of sensitive information that allows an unauthorized attacker to perform spoofing over a network.
The Java Key Vault Keys library in the Azure SDK for Java contains an issue in the local cryptographic verification path where authentication tag comparison was implemented incorrectly. In affected applications that use the vulnerable local cryptography path, specially crafted encrypted input may bypass integrity verification checks.
The mem0 v1.0.0 server lacks authentication and authorization controls for its memory reset functionality accessible via the DELETE /memories endpoint. An unauthenticated attacker can send a DELETE request that triggers a reset operation, leading to the execution of a DROP TABLE SQL statement.
The mamba language model framework up to version 2.2.6 is vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.from_pretrained() method uses torch.load() to load the pytorch_model.bin weight file without enabling the weights_only=True parameter, allowing the deserialization of arbitrary Python objects.
The Ludwig framework up to version 0.10.4 is vulnerable to insecure deserialization in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files without enabling the security-restrictive weights_only=True parameter, allowing the deserialization of arbitrary Python objects.
The Ludwig framework up to version 0.10.4 is vulnerable to insecure deserialization through its predict() method. This allows a remote attacker to execute arbitrary code on the system if a maliciously crafted pickle file is provided.
The llm CLI tool through version 0.27.1 contains a critical code injection vulnerability via its --functions argument. This argument allows custom Python function definitions, but the tool directly executes the code using the unsafe exec() function without sanitization. An attacker can exploit this by crafting a malicious llm command with arbitrary Python code in the --functions argument and tricking a victim into running it, leading to arbitrary code execution on the victim's system.
The imgaug library through version 0.4.0 contains an insecure deserialization vulnerability in its BackgroundAugmenter class within the multicore.py module. This class uses Python's pickle module to deserialize data from a multiprocessing queue without any safety checks.
Horovod up to version 0.28.1 contains an insecure deserialization vulnerability in its KVStore HTTP server component. The lack of authentication and authorization controls allows any remote attacker to send arbitrary data via HTTP PUT requests, leading to the potential execution of malicious code.
Guardrails AI up to version 0.6.7 contains a code injection vulnerability (CWE-94) in its Hub package installation mechanism. When installing validator packages, the system retrieves a manifest from the Guardrails Hub and dynamically executes a script specified in the post_install field, allowing for remote code execution.
Cognee up to version 0.4.0 contains a critical remote code execution vulnerability in its notebook cell execution API endpoint. The endpoint executes arbitrary Python code provided by the user using the unsafe exec() function without any sandboxing, validation, or security controls.
In the Adversarial Robustness Toolbox (ART) up to version 1.20.1, a command-line argument injection vulnerability was found in the Kubeflow component (robustness_evaluation_fgsm_pytorch.py). The script uses the unsafe eval() function to parse string values from the --clip_values and --input_shape arguments, allowing an attacker to remotely execute arbitrary Python code.
The Adversarial Robustness Toolbox (ART) up to version 1.20.1 contains an insecure deserialization vulnerability in the Kubeflow component's model loading functionality. The use of torch.load() without the weights_only=True parameter allows for the deserialization of arbitrary Python objects, potentially leading to remote code execution.
Insufficient ownership check in `clientarea.php` allows an authenticated client area user to submit requests using another user’s `addonId` without any ownership validation leading to unauthorized access to the victim's account.
A missing authorization vulnerability in Fortinet FortiSandbox allows an unauthenticated attacker to execute unauthorized code or commands via HTTP requests. The issue affects multiple versions of FortiSandbox, FortiSandbox Cloud, and FortiSandbox PaaS.
JunoClaw is an AI platform that prior to version 0.x.y-security-1 had a vulnerability where MCP tools accepted 'mnemonic: string' as a call parameter. This led to the BIP-39 seed being embedded in the LLM tool-call JSON, exposing it.
Buffer overflow in the Intel(R) Data Center Graphics Driver for VMware ESXi software before version 2.0.2 may allow for privilege escalation. An adversary with system access and a low complexity attack may enable local code execution without user interaction.
Version 1.1.1 of the Open Source Kubectl MCP Server contains a vulnerability that allows attackers to execute arbitrary code on a victim's system via user interaction with a crafted HTML page.
Improper Authorization vulnerability occurs when multiple method constraints define an HTTP method for the same extension in Apache Tomcat.

