| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Fides is an open-source privacy engineering platform. From 2.75.0 to before 2.83.2, Fides deployments that enable both subject identity verification and duplicate privacy request detection are affected by a vulnerability in which an administrator can approve a privacy request whose identity was never verified. For erasure policies, this can result in unauthorized deletion of a data subject's records across every integration configured in the affected deployment. This vulnerability is fixed in 2.83.2. |
| Cleanuparr is a tool for automating the cleanup of unwanted or blocked files in Sonarr, Radarr, and supported download clients like qBittorrent. Prior to 2.9.10, TrustedNetworkAuthenticationHandler.ResolveClientIp parses the leftmost entry of the X-Forwarded-For header as the client IP. That entry is attacker-controlled — X-Forwarded-For is append-only, so the leftmost value is whatever the original HTTP client claimed. By sending a spoofed local IP in the header, an unauthenticated remote attacker passes the trusted-network check and is logged in as the Cleanuparr administrator. This vulnerability is fixed in 2.9.10. |
| Cleanuparr is a tool for automating the cleanup of unwanted or blocked files in Sonarr, Radarr, and supported download clients like qBittorrent. Prior to 2.9.10, Cleanuparr's global CORS policy reflects every request Origin and combines it with AllowCredentials(). When DisableAuthForLocalAddresses is enabled, the API also authenticates requests purely by source IP via TrustedNetworkAuthenticationHandler. The combination lets any website that an admin (or any user on a trusted IP) visits read authenticated API responses cross-origin — including the admin's permanent API key. This vulnerability is fixed in 2.9.10. |
| An inconsistent user interface issue was addressed with improved state management. This issue is fixed in iOS 18.7.3 and iPadOS 18.7.3, iOS 26.2 and iPadOS 26.2. An app may be able to access sensitive user data. |
| Kubewarden is a policy engine for Kubernetes. Prior to , An attacker with privileged AdmissionPolicy or AdmissionPolicyGroup create permissions (which isn't the default) can craft a policy that makes use of the can_i host callback. The callback issues a SubjectAccessReview (SAR) requests to enumerate RBAC permissions of any user or service account across the cluster. can_i does not perform that check to enforce the context-aware allow-list and forwards the request directly to the callback handler, which executes a real SubjectAccessReview using policy-server privileges. This creates a policy-level authorization gap: can_i is effectively usable even when the policy has no context-aware resource grant. This is an information disclosure / reconnaissance issue, and not direct workload data exfiltration. The attacker learns permission information, such as whether specific service accounts can "get secrets", "create pods", or "bind clusterroles" in chosen namespaces. This vulnerability is fixed in . |
| OpenTelemetry.OpAmp.Client is the OpAMP client for OpenTelemetry .NET. Prior to 0.2.0-alpha.1, when receiving responses from the OpAMP server over HTTP, the OpAMP client allocates an unbounded buffer to read all bytes from the server, with no upper-bound on the number of bytes consumed. This could cause memory exhaustion in the consuming application if the configured OpAMP server is attacker-controlled (or a network attacker can MitM the connection) and an extremely large body is returned in the response. This vulnerability is fixed in 0.2.0-alpha.1. |
| In the Linux kernel, the following vulnerability has been resolved:
media: ipu6: Fix RPM reference leak in probe error paths
Several error paths in ipu6_pci_probe() were jumping directly to
out_ipu6_bus_del_devices without releasing the runtime PM reference.
Add pm_runtime_put_sync() before cleaning up other resources. |
| In the Linux kernel, the following vulnerability has been resolved:
ASoC: SOF: ipc4-topology: Correct the allocation size for bytes controls
The size of the data behind of scontrol->ipc_control_data for bytes
controls is:
[1] sizeof(struct sof_ipc4_control_data) + // kernel only struct
[2] sizeof(struct sof_abi_hdr)) + payload
The max_size specifies the size of [2] and it is coming from topology.
Change the function to take this into account and allocate adequate amount
of memory behind scontrol->ipc_control_data.
With the change we will allocate [1] amount more memory to be able to hold
the full size of data. |
| An administrative user with access to configure webhooks can execute arbitrary commands by configuring and then triggering webhooks containing specific FreeMarker template syntax.
This issue affects all MongoDB Ops Manager 7.0 versions and MongoDB Ops Manager versions 8.0.22 and prior. |
| vLLM is an inference and serving engine for large language models (LLMs). From to before 0.20.0, the extract_hidden_states speculative decoding proposer in vLLM returns a tensor with an incorrect shape after the first decode step, causing a RuntimeError that crashes the EngineCore process. The crash is triggered when any request in the batch uses sampling penalty parameters (repetition_penalty, frequency_penalty, or presence_penalty). A single request with a penalty parameter (e.g., "repetition_penalty": 1.1) is sufficient to crash the server. This vulnerability is fixed in 0.20.0. |
| Insufficient input validation of the feature file name in `feature::LOADFEATUREFILE` adminbin call can cause arbitrary file read when a relative file path is passed. |
| A race condition was addressed with additional validation. This issue is fixed in macOS Tahoe 26.4. An app may be able to access sensitive user data. |
| CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its make_parquet_list.py data processing tool. The script loads PyTorch .pt files (utterance embeddings, speaker embeddings, speech tokens) using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing malicious .pt files within a data directory. When a victim processes this directory using the tool, arbitrary code is executed on the victim's system. |
| The flash-attention training framework thru commit e724e2588cbe754beb97cf7c011b5e7e34119e62 (2025-13-04) contains an insecure deserialization vulnerability (CWE-502) in its checkpoint loading mechanism. The load_checkpoint() function in checkpoint.py and the checkpoint loading code in eval.py use torch.load() without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing a maliciously crafted checkpoint file. When a victim loads this checkpoint during model warmstarting or evaluation, arbitrary code is executed on the victim's system. |
| SQL Injection in MuuCMF T6 v1.9.4.20260115 allows an unauthenticated attacker to compromise the entire database, achieve unauthorized administrative access, and potentially gain remote code execution by writing malicious files to the server's file system via the keyword parameter in the /index/controller/Search.php endpoint. |
| Docling's METS GBS backend is vulnerable to XML Entity Expansion (XXE) attacks thru 2.61.0. The backend extracts and validates XML files from .tar.gz archives using etree.fromstring() without disabling entity resolution. An attacker can craft a malicious XML file with nested entity definitions (XML Bomb) and package it into a .tar.gz archive. When processed by Docling, the exponential expansion of entities during XML parsing leads to excessive resource consumption, resulting in a denial of service (DoS) condition on the system running the Docling parser. |
| CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its average_model.py model averaging tool. The script loads PyTorch checkpoint files (epoch_*.pt) for model averaging using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing malicious checkpoint files within a directory. When a victim uses the tool to average models from this directory, arbitrary code is executed on the victim's system. |
| Adobe Commerce versions 2.4.9-beta1, 2.4.8-p4, 2.4.7-p9, 2.4.6-p14, 2.4.5-p16, 2.4.4-p17 and earlier are affected by an Uncontrolled Resource Consumption vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to exhaust system resources, resulting in an application denial-of-service condition. Exploitation of this issue does not require user interaction. |
| After Effects versions 26.0, 25.6.4 and earlier are affected by a Stack-based Buffer Overflow vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file. |
| Adobe Commerce versions 2.4.9-beta1, 2.4.8-p4, 2.4.7-p9, 2.4.6-p14, 2.4.5-p16, 2.4.4-p17 and earlier are affected by an Uncontrolled Resource Consumption vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to exhaust system resources, resulting in an application denial-of-service condition. Exploitation of this issue does not require user interaction. |
