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-2026-5366 | Prefect version 3.6.23 is vulnerable to remote code execution due to improper handling of user-controlled input in the `GitRepository` storage class. The `commit_sha` parameter, which is passed to git commands, lacks validation and does not include a `--` separator to distinguish user input from git flags. This allows attackers to inject arbitrary git flags, such as `--upload-pack`, enabling execution of external programs. Additionally, the `directories` parameter can be exploited to inject git | 9.9 | 0.57% | 2026-06-20 | 2026-06-22 |
| CVE-2026-11816 | Keras versions prior to 3.14.0 are vulnerable to a path traversal issue in the archive extraction utilities located in `keras/src/utils/file_utils.py`. The functions `filter_safe_tarinfos()` and `filter_safe_zipinfos()` validate archive member paths against the process current working directory (CWD) instead of the actual extraction destination. When the process runs with CWD set to `/`, which is common in Docker containers, CI/CD runners, and Jupyter environments, the validation boundary become | 8.1 | 0.45% | 2026-06-11 | 2026-06-17 |
| CVE-2026-5241 | A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, intended to prevent remote code execution, is overridden by untrusted serialized configuration data in a nested code path. Specifically, when loading a LightGlue model using `AutoModel.from_pretrained()` with `trust_remote_code=False`, the `Lig | 9.6 | 0.35% | 2026-06-03 | 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-2026-2651 | A vulnerability in MLflow versions <=3.10.1.dev0 allows unauthorized access to multipart upload (MPU) endpoints when the `--serve-artifacts` mode is enabled. The authorization logic does not enforce resource-level permission checks for `/mlflow-artifacts/mpu/*` endpoints, enabling attackers to overwrite artifacts belonging to other users. This can lead to unauthorized cross-user writes, model supply chain poisoning, and arbitrary code execution when compromised models are loaded. The issue is re | 9.0 | 0.34% | 2026-05-25 | 2026-06-27 |
| 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-2026-2611 | In MLflow version 3.9.0, the MLflow Assistant feature introduced improper origin validation in its /ajax-api endpoints. This vulnerability allows a remote attacker to exploit cross-origin requests from a malicious webpage to interact with the MLflow Assistant running on a victim's local machine. By bypassing the loopback-only restriction, the attacker can modify the Assistant's configuration to enable full access, which in turn allows the execution of arbitrary commands via the Claude Code sub-a | 9.6 | 0.37% | 2026-05-19 | 2026-06-27 |
| 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-2026-3960 | 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-2026-1462 | A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. The issue arises due to the unconditional loading of external SavedModels, serialization of attacker-controlled file path | 8.8 | 0.36% | 2026-04-13 | 2026-06-17 |
| CVE-2026-1115 | A Stored Cross-Site Scripting (XSS) vulnerability was identified in the social feature of parisneo/lollms, affecting the latest version prior to 2.2.0. The vulnerability exists in the `create_post` function within `backend/routers/social/__init__.py`, where user-provided content is directly assigned to the `DBPost` model without sanitization. This allows attackers to inject and store malicious JavaScript, which is executed in the browsers of users viewing the Home Feed, including administrators. | 9.6 | 0.40% | 2026-04-10 | 2026-06-17 |
| CVE-2026-1114 | In parisneo/lollms version 2.1.0, the application's session management is vulnerable to improper access control due to the use of a weak secret key for signing JSON Web Tokens (JWT). This vulnerability allows an attacker to perform an offline brute-force attack to recover the secret key. Once the secret key is obtained, the attacker can forge administrative tokens by modifying the JWT payload and resigning it with the cracked secret. This enables unauthorized users to escalate privileges, impers | 9.8 | 0.54% | 2026-04-07 | 2026-06-17 |
| CVE-2026-0545 | In mlflow/mlflow, the FastAPI job endpoints under `/ajax-api/3.0/jobs/*` are not protected by authentication or authorization when the `basic-auth` app is enabled. This vulnerability affects the latest version of the repository. If job execution is enabled (`MLFLOW_SERVER_ENABLE_JOB_EXECUTION=true`) and any job function is allowlisted, any network client can submit, read, search, and cancel jobs without credentials, bypassing basic-auth entirely. This can lead to unauthenticated remote code exec | 9.8 | 3.98% | 2026-04-03 | 2026-06-17 |
| CVE-2025-15379 | A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deplo | 9.8 | 2.36% | 2026-03-30 | 2026-06-17 |
| CVE-2025-15036 | A path traversal vulnerability exists in the `extract_archive_to_dir` function within the `mlflow/pyfunc/dbconnect_artifact_cache.py` file of the mlflow/mlflow repository. This vulnerability, present in versions before v3.7.0, arises due to the lack of validation of tar member paths during extraction. An attacker with control over the tar.gz file can exploit this issue to overwrite arbitrary files or gain elevated privileges, potentially escaping the sandbox directory in multi-tenant or shared c | 10.0 | 0.54% | 2026-03-29 | 2026-06-17 |
| CVE-2026-0562 | A critical security vulnerability in parisneo/lollms versions up to 2.2.0 allows any authenticated user to accept or reject friend requests belonging to other users. The `respond_request()` function in `backend/routers/friends.py` does not implement proper authorization checks, enabling Insecure Direct Object Reference (IDOR) attacks. Specifically, the `/api/friends/requests/{friendship_id}` endpoint fails to verify whether the authenticated user is part of the friendship or the intended recipie | 8.3 | 0.27% | 2026-03-29 | 2026-06-17 |
| CVE-2026-0558 | A vulnerability in parisneo/lollms, up to and including version 2.2.0, allows unauthenticated users to upload and process files through the `/api/files/extract-text` endpoint. This endpoint does not enforce authentication, unlike other file-related endpoints, and lacks the `Depends(get_current_active_user)` dependency. This issue can lead to denial of service (DoS) through resource exhaustion, information disclosure, and violation of the application's documented security policies. | 9.8 | 0.43% | 2026-03-29 | 2026-06-17 |
| CVE-2025-15031 | A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of `tarfile.extractall` without path validation enables crafted tar.gz files containing `..` or absolute paths to escape the intended extraction directory. This issue affects the latest version of MLflow and poses a high/critical risk in scenarios involving multi-tenant environments or ingestion of untrusted artifacts, as it can lead to arb | 9.1 | 0.71% | 2026-03-18 | 2026-06-17 |
| CVE-2025-14287 | A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the `mlflow/sagemaker/__init__.py` file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, which are then executed using `os.system()`. This allows attackers to execute arbitrary commands by supplying malicious input through the `--container` parameter of the CLI. The issue affects environme | 8.8 | 1.24% | 2026-03-16 | 2026-06-17 |