Aggregating NVD, CVE, and multi-source threat feeds, this list provides deep analysis of high-risk threats such as RCE. By integrating CVSS and EPSS models, the system dynamically tracks Exp (Exploit) resources and PoC availability to accurately assess Exploitability. Combined with official Patches and remediation strategies, it helps prioritize Vulnerability Management workflows, significantly shortening response cycles and securing your critical assets.
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| CVE | Description | Max CVSS | EPSS % | Published | Updated |
|---|---|---|---|---|---|
| CVE-2023-4733 | Use After Free in GitHub repository vim/vim prior to 9.0.1840. | 7.8 | 0.54% | 2023-09-04 | 2026-06-23 |
| CVE-2023-2610 | Integer Overflow or Wraparound in GitHub repository vim/vim prior to 9.0.1532. | 7.8 | 0.48% | 2023-05-09 | 2026-06-23 |
| CVE-2023-2609 | NULL Pointer Dereference in GitHub repository vim/vim prior to 9.0.1531. | 5.5 | 0.47% | 2023-05-09 | 2026-06-23 |
| CVE-2026-9375 | urllib3 version 2.6.3 is vulnerable to a decompression bomb bypass in its streaming API (`preload_content=False`) when using Brotli support. The issue arises due to three independent code paths in `response.py` that bypass the `max_length` protection introduced in version 2.6.0 to mitigate CVE-2025-66471. Specifically, negative `max_length` values can be produced due to buffer arithmetic in `read()`, `flush_decoder` unconditionally overrides `max_length` to `-1`, and `_flush_decoder()` passes no | 7.5 | 0.30% | 2026-06-19 | 2026-06-22 |
| CVE-2026-12479 | A path traversal vulnerability exists in keras-team/keras version 3.14.0, specifically in the `DiskIOStore.make` method within the Keras 3 model saving and loading library. This vulnerability arises from the improper handling of user-provided layer names, which are used to construct directory paths without sanitizing for parent directory components (`..`). While forward slashes (`/`) are restricted in layer names, directory traversal sequences are not. This allows an attacker to craft a maliciou | 6.1 | 0.26% | 2026-06-22 | 2026-06-22 |
| CVE-2026-3840 | A vulnerability in Kedro version 1.2.0 allows an attacker to exploit path traversal by providing a crafted version string. The `_get_versioned_path()` method in `kedro/io/core.py` directly interpolates user-supplied version strings into filesystem paths without sanitization. This enables an attacker to escape the intended versioned dataset directory and access files outside the expected path. The issue is also reachable through the CLI via the `--load-versions` parameter, as `_split_load_version | 7.1 | 0.19% | 2026-06-12 | 2026-06-17 |
| CVE-2024-3166 | A Cross-Site Scripting (XSS) vulnerability exists in mintplex-labs/anything-llm, affecting both the desktop application version 1.2.0 and the latest version of the web application. The vulnerability arises from the application's feature to fetch and embed content from websites into workspaces, which can be exploited to execute arbitrary JavaScript code. In the desktop application, this flaw can be escalated to Remote Code Execution (RCE) due to insecure application settings, specifically the ena | 9.6 | 0.96% | 2024-06-06 | 2026-06-17 |
| CVE-2026-12199 | A vulnerability in `nltk.app.wordnet_app` up to version 3.9.3 allows unauthenticated remote shutdown of the local WordNet Browser HTTP server when started in its default mode. The server listens on all interfaces and processes a specific unauthenticated GET request (`/SHUTDOWN%20THE%20SERVER`) to terminate the process immediately via `os._exit(0)`. This results in a denial of service, impacting service availability. The issue arises due to insufficient authentication and protection mechanisms fo | 7.5 | 0.33% | 2026-06-17 | 2026-06-17 |
| CVE-2026-5627 | A path traversal vulnerability exists in mintplex-labs/anything-llm versions up to and including 1.9.1, within the `AgentFlows` component. The vulnerability arises from improper handling of user input in the `loadFlow` and `deleteFlow` methods in `server/utils/agentFlows/index.js`. Specifically, the combination of `path.join` and `normalizePath` allows attackers to bypass directory restrictions and access or delete arbitrary `.json` files on the server. This can lead to information disclosure, s | 7.2 | 0.81% | 2026-04-07 | 2026-06-17 |
| CVE-2026-5422 | A path traversal vulnerability exists in jupyter-server version 2.17.0 due to an incorrect root directory boundary check in the _get_os_path() function within jupyter_server/services/contents/fileio.py. The check uses startswith(root) without appending a trailing path separator, allowing sibling directories with names starting with the same prefix as root_dir to bypass the check. Additionally, the to_os_path() function in utils.py does not strip ".." from path parts, enabling traversal sequences | 8.1 | 0.44% | 2026-06-02 | 2026-06-17 |
| CVE-2026-4944 | vllm-project/vllm version 0.14.1 contains a vulnerability where the `trust_remote_code=True` parameter is hardcoded in two model implementation files (`vllm/model_executor/models/nemotron_vl.py` and `vllm/model_executor/models/kimi_k25.py`). This bypasses the user's explicit `--trust-remote-code=False` setting, enabling remote code execution via malicious HuggingFace model repositories. This issue is an incomplete fix for CVE-2025-66448 and CVE-2026-22807, as it affects separate code paths in mo | 8.8 | 0.75% | 2026-05-28 | 2026-06-17 |
| CVE-2026-4372 | A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious `config.json` file containing the `_attn_implementation_internal` field set to an attacker-controlled HuggingFace Hub repository ID. When a victim loads this model using the standard `AutoModelForCausalLM.from_pretrained()` API, the library downloads and executes arbitrary Python code from the attacker's re | 7.8 | 0.48% | 2026-05-24 | 2026-06-17 |
| CVE-2026-4137 | In mlflow/mlflow versions prior to 3.11.0, the `get_or_create_nfs_tmp_dir()` function in `mlflow/utils/file_utils.py` creates temporary directories with world-writable permissions (0o777), and the `_create_model_downloading_tmp_dir()` function in `mlflow/pyfunc/__init__.py` creates directories with group-writable permissions (0o770). These insecure permissions allow local attackers to tamper with model artifacts, such as cloudpickle-serialized Python objects, and achieve arbitrary code execution | 7.8 | 0.19% | 2026-05-18 | 2026-06-17 |
| CVE-2026-3960 | A critical remote code execution vulnerability exists in the unauthenticated REST API endpoint /99/ImportSQLTable in H2O-3 version 3.46.0.9 and prior. The vulnerability arises due to insufficient security controls in the parameter blacklist mechanism, which only targets MySQL JDBC driver-specific dangerous parameters. An attacker can bypass these controls by switching the JDBC URL protocol to jdbc:postgresql: and exploiting PostgreSQL JDBC driver-specific parameters such as socketFactory and soc | 9.8 | 0.94% | 2026-04-23 | 2026-06-17 |
| CVE-2026-3515 | A vulnerability in the `GitHubRepository` block of the `prefect-github` integration in Prefect version 3.6.18 allows an attacker to inject arbitrary git command-line options via the `reference` field. The `reference` field is concatenated directly into a `git clone` command string without proper sanitization, and then parsed by `shlex.split()`. This enables injection of options such as `-c`, leading to potential Server-Side Request Forgery (SSRF), credential theft, or remote code execution (RCE) | 8.5 | 0.30% | 2026-05-24 | 2026-06-17 |
| CVE-2026-3514 | In version 3.6.19 of prefecthq/prefect, an authentication bypass vulnerability exists due to the improper handling of URL path exemptions for health check probes. Specifically, the authentication middleware exempts any URL path ending with 'health' or 'ready' from authentication checks. This allows an attacker to create resources with names ending in 'health' or 'ready' and access them without authentication. Affected endpoints include those for variables, flows, work pools, work queues, and dep | 7.5 | 0.48% | 2026-06-02 | 2026-06-17 |
| CVE-2026-3198 | MLflow 3.9.0 with basic-auth (`--app-name basic-auth`) fails to enforce authorization checks for multiple Gateway API 'list' endpoints. Specifically, the `BEFORE_REQUEST_HANDLERS` dictionary in `mlflow/server/auth/__init__.py` does not include entries for `ListGatewaySecretInfos`, `ListGatewayEndpoints`, and `ListGatewayModelDefinitions`. This allows any authenticated user, regardless of their assigned permissions, to enumerate all gateway secrets, endpoints, and model definitions. This vulnerab | 6.5 | 0.21% | 2026-06-02 | 2026-06-17 |
| CVE-2026-2734 | In mlflow/mlflow versions up to 3.9.0, the `SearchModelVersions` REST API endpoint and the `mlflowSearchModelVersions` GraphQL query lack proper per-model authorization checks when basic authentication is enabled. This allows any authenticated user to enumerate all model versions across all registered models, regardless of their permission level. The issue arises due to the absence of `SearchModelVersions` in the `BEFORE_REQUEST_VALIDATORS` and `AFTER_REQUEST_HANDLERS` for the REST API, and its | 6.5 | 0.40% | 2026-05-21 | 2026-06-17 |
| CVE-2026-2652 | A vulnerability in mlflow/mlflow versions 3.9.0 and earlier allows unauthenticated access to certain FastAPI routes when the server is started with authentication enabled (`--app-name basic-auth`) and served via uvicorn (ASGI). The FastAPI permission middleware only enforces authentication on `/gateway/` routes, leaving other routes such as the Job API (`/ajax-api/3.0/jobs/*`) and the OpenTelemetry trace ingestion API (`/v1/traces`) unprotected. This allows unauthenticated remote attackers to su | 8.6 | 1.50% | 2026-05-14 | 2026-06-17 |
| CVE-2026-2393 | A Server-Side Request Forgery (SSRF) vulnerability exists in MLflow versions prior to 3.9.0. The `_create_webhook()` function in `mlflow/server/handlers.py` accepts a user-controlled `url` parameter without validation, and the `_send_webhook_request()` function in `mlflow/webhooks/delivery.py` sends HTTP POST requests to this attacker-controlled URL. This allows an authenticated attacker to force the MLflow backend to send HTTP requests to internal services, cloud metadata endpoints, or arbitrar | 7.1 | 0.29% | 2026-05-11 | 2026-06-17 |