Search criteria
835 vulnerabilities
CVE-2026-12252 (GCVE-0-2026-12252)
Vulnerability from cvelistv5 – Published: 2026-07-04 00:58 – Updated: 2026-07-04 00:58
VLAI?
Title
Untrusted JAR Code Execution in Multiple Stanford Interface Classes in nltk/nltk
Summary
In nltk/nltk versions 3.9.3 and earlier, five Stanford interface classes (StanfordPOSTagger, StanfordNERTagger, StanfordParser, StanfordDependencyParser, and StanfordNeuralDependencyParser) are vulnerable to untrusted JAR code execution. These classes accept user-controllable JAR paths and execute them via the `java()` function, which invokes `subprocess.Popen()` without integrity verification. This vulnerability is identical to CVE-2026-0848, which was fixed for StanfordSegmenter by adding SHA256 verification. However, the fix was not applied to these additional classes, leaving them susceptible to arbitrary code execution when loading untrusted JAR files.
Severity ?
7.8 (High)
CWE
- CWE-94 - Improper Control of Generation of Code
Assigner
References
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CVE-2026-12481 (GCVE-0-2026-12481)
Vulnerability from cvelistv5 – Published: 2026-07-03 20:36 – Updated: 2026-07-03 20:36
VLAI?
Title
Deserialization of Untrusted Data in keras-team/keras
Summary
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the `Lambda` layer. Specifically, the `_raise_for_lambda_deserialization()` function fails to enforce the safe-mode guard when `safe_mode` is set to `None`, which is the default value when `from_config()` is called outside of a `SafeModeScope` context. This logic error conflates `None` (unset/default-deny) with `False` (explicitly disabled), bypassing the guard and allowing attacker-controlled `marshal` bytecode to be deserialized. Affected call sites include `keras.layers.deserialize(config)`, `keras.models.clone_model(model)`, and any direct invocation of `Lambda.from_config(config)` without an enclosing `SafeModeScope(True)`. This vulnerability can be exploited to achieve arbitrary OS-level code execution in the context of the server or user process.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| keras-team | keras-team/keras |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-8147 (GCVE-0-2026-8147)
Vulnerability from cvelistv5 – Published: 2026-07-02 07:32 – Updated: 2026-07-02 12:28
VLAI?
Title
Authorization Bypass in mlflow/mlflow
Summary
In MLflow versions prior to 3.14.0, when running with authentication enabled, the trace API endpoints lack proper authorization validators. This allows any authenticated user to bypass experiment-level authorization controls on all trace operations, including reading, deleting, and modifying traces on experiments they do not have permission to access. The issue arises from the `_before_request` handler, which does not register authorization validators for trace endpoints, resulting in requests proceeding without validation. This vulnerability can expose sensitive data, destroy audit logs, and allow unauthorized modifications.
Severity ?
8.1 (High)
CWE
- CWE-284 - Improper Access Control
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.14.0
(custom)
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CVE-2026-12480 (GCVE-0-2026-12480)
Vulnerability from cvelistv5 – Published: 2026-07-01 16:53 – Updated: 2026-07-01 17:46
VLAI?
Title
Arbitrary HDF5 File Read via Virtual Dataset Bypass in keras-team/keras
Summary
Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.2 and 3.14.1.
Severity ?
5.5 (Medium)
CWE
- CWE-73 - External Control of File Name or Path
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| keras-team | keras-team/keras |
Affected:
unspecified , < 3.12.2, 3.14.1
(custom)
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CVE-2026-8387 (GCVE-0-2026-8387)
Vulnerability from cvelistv5 – Published: 2026-07-01 12:26 – Updated: 2026-07-01 13:36
VLAI?
Title
Relative Path Traversal in allegroai/clearml
Summary
A vulnerability in allegroai/clearml versions up to and including 1.16.5 allows for relative path traversal when extracting `.zip` archives using the `ZipFile.extractall()` method in `StorageManager._extract_to_cache()`. This issue arises due to the lack of path traversal validation, enabling an attacker to write arbitrary files to the filesystem. Attack vectors include dataset downloads, artifact downloads, model downloads, and offline session imports. The vulnerability can lead to remote code execution through methods such as cron job injection, SSH key overwrite, or web shell deployment. The issue is resolved in version 2.1.6.
Severity ?
CWE
- CWE-23 - Relative Path Traversal
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| allegroai | allegroai/clearml |
Affected:
unspecified , < 2.1.6
(custom)
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CVE-2026-12243 (GCVE-0-2026-12243)
Vulnerability from cvelistv5 – Published: 2026-06-30 00:14 – Updated: 2026-06-30 13:14
VLAI?
Title
Path Traversal via Percent-Encoding in nltk.data.find() and nltk.data.load()
Summary
NLTK version 3.9.4 is vulnerable to a path traversal attack due to an incomplete fix for GitHub Issue #3504. The `_UNSAFE_NO_PROTOCOL_RE` regex in `nltk/data.py` checks for literal `../` sequences but fails to account for percent-encoded traversal sequences such as `..%2f`. The `url2pathname()` function decodes these sequences after the validation step, allowing an attacker to bypass the protection. This vulnerability enables an attacker to read arbitrary files accessible to the Python process by controlling the resource name parameter passed to `nltk.data.load()` or `nltk.data.find()`. The issue affects applications that rely on NLTK for resource loading, including NLP web applications, Jupyter notebooks, and CLI tools. The default `pathsec.ENFORCE=False` setting exacerbates the impact by not blocking the file read at the `open()` stage.
Severity ?
7.5 (High)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
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CVE-2026-6658 (GCVE-0-2026-6658)
Vulnerability from cvelistv5 – Published: 2026-06-26 09:40 – Updated: 2026-06-26 10:19
VLAI?
Title
Cross-site Scripting (XSS) in jupyter/nbconvert
Summary
A vulnerability in jupyter/nbconvert versions <= 7.17.0 allows for Cross-site Scripting (XSS) via unsanitized `text/vnd.mermaid` output in HTML exports. The `data_mermaid` block in `share/templates/lab/base.html.j2` renders `text/vnd.mermaid` cell output directly into HTML without escaping, enabling attackers to inject arbitrary HTML/JavaScript by breaking out of the `<pre>` tag. This vulnerability impacts any server using nbconvert to render notebooks as HTML, allowing attackers to execute arbitrary JavaScript in the context of users viewing the HTML export.
Severity ?
5.4 (Medium)
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| jupyter | jupyter/jupyter |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-12479 (GCVE-0-2026-12479)
Vulnerability from cvelistv5 – Published: 2026-06-22 15:21 – Updated: 2026-06-22 16:29
VLAI?
Title
Path Traversal in keras-team/keras
Summary
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 malicious Keras model that, when saved or loaded, can escape the intended temporary working directory and perform unauthorized file system operations, such as creating directories or writing files in arbitrary locations.
Severity ?
6.1 (Medium)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| keras-team | keras-team/keras |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-5366 (GCVE-0-2026-5366)
Vulnerability from cvelistv5 – Published: 2026-06-20 16:43 – Updated: 2026-06-22 17:25
VLAI?
Title
Git Argument Injection in prefecthq/prefect
Summary
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 flags during sparse-checkout operations. These vulnerabilities allow any user with deployment creation permissions to execute arbitrary commands on worker machines, compromising shared work pools in multi-tenant environments.
Severity ?
9.9 (Critical)
CWE
- CWE-94 - Improper Control of Generation of Code
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| prefecthq | prefecthq/prefect |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-9375 (GCVE-0-2026-9375)
Vulnerability from cvelistv5 – Published: 2026-06-19 18:45 – Updated: 2026-06-22 15:53
VLAI?
Title
Decompression Bomb Bypass via Negative max_length in Streaming API in urllib3
Summary
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 limit at all, defaulting to unlimited decompression. This allows a malicious HTTP server to trigger an out-of-memory (OOM) condition by decompressing large payloads into memory, leading to a denial of service (DoS). The vulnerability affects urllib3 2.6.3 and Brotli 1.2.0 and impacts applications and libraries using `requests` or `urllib3` to stream content from untrusted sources.
Severity ?
7.5 (High)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| urllib3 | urllib3/urllib3 |
Affected:
unspecified , < 2.7.0
(custom)
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CVE-2026-12199 (GCVE-0-2026-12199)
Vulnerability from cvelistv5 – Published: 2026-06-17 07:13 – Updated: 2026-06-17 14:21
VLAI?
Title
Unauthenticated Denial of Service in nltk.app.wordnet_app
Summary
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 for critical server functions.
Severity ?
7.5 (High)
CWE
- CWE-306 - Missing Authentication for Critical Function
Assigner
References
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CVE-2026-3840 (GCVE-0-2026-3840)
Vulnerability from cvelistv5 – Published: 2026-06-12 15:45 – Updated: 2026-06-12 17:20
VLAI?
Title
Path Traversal in kedro-org/kedro
Summary
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_versions()` in `kedro/framework/cli/utils.py` does not validate the version string. This vulnerability can lead to unauthorized file reads, data poisoning, cross-project or cross-tenant data access, and broader downstream impacts in environments where Kedro is used with automation or orchestration layers.
Severity ?
7.1 (High)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| kedro-org | kedro-org/kedro |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-11816 (GCVE-0-2026-11816)
Vulnerability from cvelistv5 – Published: 2026-06-11 13:31 – Updated: 2026-06-30 12:06
VLAI?
Title
Path Traversal in keras-team/keras
Summary
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 becomes the filesystem root, allowing traversal paths to bypass the security check. Additionally, the zip filter contains a bug that causes an `AttributeError` when a blocked entry is encountered, leading to incomplete extraction. Furthermore, Python 3.11 installations lack the `filter="data"` safety net, leaving them entirely reliant on the flawed CWD-based filter. Exploitation of this vulnerability can result in arbitrary file writes outside the intended extraction directory, enabling attackers to overwrite configuration files, inject malicious code, or corrupt machine learning datasets and pipelines.
Severity ?
8.1 (High)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| keras-team | keras-team/keras |
Affected:
unspecified , < 3.14.0
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CVE-2026-5497 (GCVE-0-2026-5497)
Vulnerability from cvelistv5 – Published: 2026-06-11 08:31 – Updated: 2026-07-03 12:04
VLAI?
Title
Unbounded Frame Count in video/jpeg Base64 Data URL Processing Leads to OOM DoS in vllm-project/vllm
Summary
vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication.
Severity ?
7.5 (High)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| vllm-project | vllm-project/vllm |
Affected:
unspecified , < 0.19.0
(custom)
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CVE-2026-6657 (GCVE-0-2026-6657)
Vulnerability from cvelistv5 – Published: 2026-06-03 15:06 – Updated: 2026-06-03 17:25
VLAI?
Title
CORS Origin Validation Bypass in jupyter-server
Summary
A vulnerability in jupyter-server versions 1.12.0 through 2.17.0 allows an attacker to bypass CORS origin validation when the `allow_origin_pat` configuration is used. The issue arises from the use of `re.match()` for validating the `Origin` header, which only anchors at the start of the string. This allows attacker-controlled domains such as `trusted.example.com.evil.com` to pass validation against patterns intended to match `trusted.example.com`. The vulnerability affects multiple locations in the codebase, including CORS headers, WebSocket connections, referer validation, and login redirects, potentially enabling phishing attacks, arbitrary code execution, and unauthorized access to sensitive API responses.
Severity ?
6.1 (Medium)
CWE
- CWE-346 - Origin Validation Error
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| jupyter | jupyter/jupyter |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-5241 (GCVE-0-2026-5241)
Vulnerability from cvelistv5 – Published: 2026-06-03 12:33 – Updated: 2026-07-02 12:04
VLAI?
Title
Policy Bypass in LightGlue Nested Config Resolution in huggingface/transformers
Summary
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 `LightGlueConfig` reads the `trust_remote_code` value from the untrusted `config.json` file and propagates it into nested `AutoConfig.from_pretrained()` calls. This results in the execution of attacker-provided Python modules, even when the victim explicitly disables remote code execution. The vulnerability poses a high risk for environments such as API inference servers, research notebooks, CI/CD pipelines, and model evaluation workers, potentially leading to credential theft, lateral movement, or persistence/backdoor deployment.
Severity ?
CWE
- CWE-829 - Inclusion of Functionality from Untrusted Control Sphere
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| huggingface | huggingface/transformers |
Affected:
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CVE-2026-4035 (GCVE-0-2026-4035)
Vulnerability from cvelistv5 – Published: 2026-06-03 07:18 – Updated: 2026-06-30 12:09
VLAI?
Title
Environment Variable Resolution Vulnerability in mlflow/mlflow
Summary
A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.
Severity ?
9.1 (Critical)
CWE
- CWE-201 - Insertion of Sensitive Information Into Sent Data
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.11.0
(custom)
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CVE-2026-5422 (GCVE-0-2026-5422)
Vulnerability from cvelistv5 – Published: 2026-06-02 09:11 – Updated: 2026-06-02 12:14
VLAI?
Title
Path Traversal in jupyter/jupyter
Summary
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 to bypass the vulnerable check. This vulnerability can lead to unauthorized read/write access to files in sibling directories, potentially exposing sensitive data in shared hosting environments.
Severity ?
6.8 (Medium)
CWE
- CWE-23 - Relative Path Traversal
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| jupyter | jupyter/jupyter |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-3514 (GCVE-0-2026-3514)
Vulnerability from cvelistv5 – Published: 2026-06-02 07:28 – Updated: 2026-06-02 13:13
VLAI?
Title
Authentication Bypass in prefecthq/prefect
Summary
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 deployments. This vulnerability can lead to unauthorized access to sensitive information, such as API keys and database credentials, stored in Prefect Variables.
Severity ?
7.5 (High)
CWE
- CWE-863 - Incorrect Authorization
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| prefecthq | prefecthq/prefect |
Affected:
unspecified , < 3.6.22
(custom)
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CVE-2026-3198 (GCVE-0-2026-3198)
Vulnerability from cvelistv5 – Published: 2026-06-02 02:50 – Updated: 2026-06-02 13:32
VLAI?
Title
Improper Access Control in mlflow/mlflow
Summary
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 vulnerability exposes sensitive information, such as API keys, endpoint configurations, and proprietary model definitions, to unauthorized users.
Severity ?
6.5 (Medium)
CWE
- CWE-284 - Improper Access Control
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-4944 (GCVE-0-2026-4944)
Vulnerability from cvelistv5 – Published: 2026-05-28 18:04 – Updated: 2026-05-28 19:47
VLAI?
Title
Hardcoded trust_remote_code=True in vllm-project/vllm Bypasses User Security Control
Summary
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 model implementation files. Deployments loading NemotronVL or KimiK25 models are particularly impacted.
Severity ?
8.8 (High)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| vllm-project | vllm-project/vllm |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-2651 (GCVE-0-2026-2651)
Vulnerability from cvelistv5 – Published: 2026-05-25 06:00 – Updated: 2026-06-29 12:34
VLAI?
Title
Missing Authorization Validation in mlflow/mlflow
Summary
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 resolved in version 3.10.0.
Severity ?
9 (Critical)
CWE
- CWE-862 - Missing Authorization
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
|
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CVE-2026-4372 (GCVE-0-2026-4372)
Vulnerability from cvelistv5 – Published: 2026-05-24 13:40 – Updated: 2026-05-26 15:21
VLAI?
Title
Arbitrary Remote Code Execution via `_attn_implementation_internal` Config Injection in huggingface/transformers
Summary
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 repository with the victim's full OS privileges. This issue arises due to unfiltered deserialization of configuration attributes, insufficient sanitization of internal fields, and unsandboxed execution of downloaded kernels. The vulnerability bypasses the `trust_remote_code` security mechanism, is invisible to the victim, and exploits the standard documented usage pattern, making it particularly severe. Users are advised to upgrade to version 5.3.0 or later to mitigate this issue.
Severity ?
7.8 (High)
CWE
- CWE-1066 - Missing Serialization Control Element
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| huggingface | huggingface/transformers |
Affected:
unspecified , < 5.3.0
(custom)
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CVE-2026-3515 (GCVE-0-2026-3515)
Vulnerability from cvelistv5 – Published: 2026-05-24 03:32 – Updated: 2026-05-26 15:21
VLAI?
Title
Argument Injection in prefecthq/prefect
Summary
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). The vulnerability affects both the `aget_directory()` and `get_directory()` methods in `src/integrations/prefect-github/prefect_github/repository.py`. This issue does not affect the GitLab and BitBucket integrations, which use a safer list-based command construction approach.
Severity ?
8.5 (High)
CWE
- CWE-88 - Improper Neutralization of Argument Delimiters in a Command
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| prefecthq | prefecthq/prefect |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-2734 (GCVE-0-2026-2734)
Vulnerability from cvelistv5 – Published: 2026-05-21 03:49 – Updated: 2026-05-21 12:40
VLAI?
Title
Authorization Bypass in SearchModelVersions in mlflow/mlflow
Summary
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 omission from `GraphQLAuthorizationMiddleware.PROTECTED_FIELDS` for GraphQL. This vulnerability can expose sensitive information such as model names, version descriptions, source URIs, tags, and other metadata, potentially revealing proprietary or confidential details in multi-tenant environments. The issue is resolved in version 3.10.0.
Severity ?
6.5 (Medium)
CWE
- CWE-284 - Improper Access Control
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
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CVE-2026-2611 (GCVE-0-2026-2611)
Vulnerability from cvelistv5 – Published: 2026-05-19 09:16 – Updated: 2026-06-27 05:17
VLAI?
Title
Improper Origin Validation in mlflow/mlflow
Summary
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-agent. This issue is resolved in version 3.10.0.
Severity ?
9.6 (Critical)
CWE
- CWE-346 - Origin Validation Error
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
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CVE-2026-4137 (GCVE-0-2026-4137)
Vulnerability from cvelistv5 – Published: 2026-05-18 20:26 – Updated: 2026-05-19 12:47
VLAI?
Title
Incomplete Fix for CVE-2025-10279: Insecure Temporary Directory Permissions in mlflow/mlflow
Summary
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 when the tampered artifacts are deserialized via `cloudpickle.load()`. This vulnerability is particularly critical in environments with shared NFS mounts, such as Databricks, where NFS is enabled by default. The issue is a continuation of the vulnerability class addressed in CVE-2025-10279, which was only partially fixed.
Severity ?
CWE
- CWE-378 - Creation of Temporary File With Insecure Permissions
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.11.0
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CVE-2026-2652 (GCVE-0-2026-2652)
Vulnerability from cvelistv5 – Published: 2026-05-15 02:13 – Updated: 2026-05-15 13:22
VLAI?
Title
Authentication Bypass in mlflow/mlflow
Summary
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 submit jobs, read job results, cancel running jobs, and inject arbitrary trace data into experiments. The issue arises from an architectural mismatch between Flask and FastAPI authentication mechanisms, where the `_find_fastapi_validator()` function fails to handle non-`/gateway/` paths, resulting in a complete authentication bypass. This vulnerability is fixed in version 3.10.0.
Severity ?
8.6 (High)
CWE
- CWE-305 - Authentication Bypass by Primary Weakness
Assigner
References
Impacted products
| Vendor | Product | Version | ||
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CVE-2026-2614 (GCVE-0-2026-2614)
Vulnerability from cvelistv5 – Published: 2026-05-11 19:02 – Updated: 2026-07-02 12:04
VLAI?
Title
Arbitrary File Read via Prompt Tag Source Validation Bypass in mlflow/mlflow
Summary
A vulnerability in the `_create_model_version()` handler of `mlflow/server/handlers.py` in mlflow/mlflow versions 3.9.0 and earlier allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem. The issue arises when a `CreateModelVersion` request includes the tag `mlflow.prompt.is_prompt`, which bypasses source path validation. This enables an attacker to store an arbitrary local filesystem path as the model version source. The `get_model_version_artifact_handler()` function later uses this source to serve files without verifying the model version's prompt status, leading to a complete confidentiality compromise. This issue is fixed in version 3.10.0.
Severity ?
7.5 (High)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
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CVE-2026-2393 (GCVE-0-2026-2393)
Vulnerability from cvelistv5 – Published: 2026-05-11 16:30 – Updated: 2026-05-11 18:52
VLAI?
Title
Server-Side Request Forgery (SSRF) in mlflow/mlflow
Summary
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 arbitrary external servers. The lack of input sanitization, URL scheme filtering, or allowlist validation on the webhook URL enables exploitation, potentially leading to cloud credential theft, internal network access, and data exfiltration.
Severity ?
7.1 (High)
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 3.10.0
(custom)
|
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