Filtered by vendor Lfprojects Subscriptions
Total 30 CVE
CVE Vendors Products Updated CVSS v3.1
CVE-2022-46397 1 Lfprojects 1 Vector Packet Processor 2024-11-21 7.5 High
FP.io VPP (Vector Packet Processor) 22.10, 22.06, 22.02, 21.10, 21.06, 21.01, 20.09, 20.05, 20.01, 19.08, and 19.04 Generates a Predictable IV with CBC Mode.
CVE-2022-0736 1 Lfprojects 1 Mlflow 2024-11-21 7.5 High
Insecure Temporary File in GitHub repository mlflow/mlflow prior to 1.23.1.
CVE-2023-3765 2 Lfprojects, Microsoft 2 Mlflow, Windows 2024-10-24 10.0 Critical
Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.5.0.
CVE-2023-4033 2 Lfprojects, Mlflow 2 Mlflow, Mlflow 2024-10-15 7.8 High
OS Command Injection in GitHub repository mlflow/mlflow prior to 2.6.0.
CVE-2024-2928 1 Lfprojects 1 Mlflow 2024-10-11 7.5 High
A Local File Inclusion (LFI) vulnerability was identified in mlflow/mlflow, specifically in version 2.9.2, which was fixed in version 2.11.3. This vulnerability arises from the application's failure to properly validate URI fragments for directory traversal sequences such as '../'. An attacker can exploit this flaw by manipulating the fragment part of the URI to read arbitrary files on the local file system, including sensitive files like '/etc/passwd'. The vulnerability is a bypass to a previous patch that only addressed similar manipulation within the URI's query string, highlighting the need for comprehensive validation of all parts of a URI to prevent LFI attacks.
CVE-2024-3099 1 Lfprojects 1 Mlflow 2024-10-11 5.4 Medium
A vulnerability in mlflow/mlflow version 2.11.1 allows attackers to create multiple models with the same name by exploiting URL encoding. This flaw can lead to Denial of Service (DoS) as an authenticated user might not be able to use the intended model, as it will open a different model each time. Additionally, an attacker can exploit this vulnerability to perform data model poisoning by creating a model with the same name, potentially causing an authenticated user to become a victim by using the poisoned model. The issue stems from inadequate validation of model names, allowing for the creation of models with URL-encoded names that are treated as distinct from their URL-decoded counterparts.
CVE-2024-0520 1 Lfprojects 1 Mlflow 2024-10-11 8.8 High
A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command ('Command Injection') within the `mlflow.data.http_dataset_source.py` module. Specifically, when loading a dataset from a source URL with an HTTP scheme, the filename extracted from the `Content-Disposition` header or the URL path is used to generate the final file path without proper sanitization. This flaw enables an attacker to control the file path fully by utilizing path traversal or absolute path techniques, such as '../../tmp/poc.txt' or '/tmp/poc.txt', leading to arbitrary file write. Exploiting this vulnerability could allow a malicious user to execute commands on the vulnerable machine, potentially gaining access to data and model information. The issue is fixed in version 2.9.0.
CVE-2023-38496 1 Lfprojects 1 Apptainer 2024-10-10 6.1 Medium
Apptainer is an open source container platform. Version 1.2.0-rc.2 introduced an ineffective privilege drop when requesting container network setup, therefore subsequent functions are called with root privileges, the attack surface is rather limited for users but an attacker could possibly craft a starter config to delete any directory on the host filesystems. A security fix has been included in Apptainer 1.2.1. There is no known workaround outside of upgrading to Apptainer 1.2.1.
CVE-2023-6709 1 Lfprojects 1 Mlflow 2024-10-08 8.8 High
Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2.
CVE-2023-6753 2 Lfprojects, Microsoft 2 Mlflow, Windows 2024-10-08 8.8 High
Path Traversal in GitHub repository mlflow/mlflow prior to 2.9.2.
CVE-2023-6014 1 Lfprojects 1 Mlflow 2024-09-04 9.8 Critical
An attacker is able to arbitrarily create an account in MLflow bypassing any authentication requirment.
CVE-2023-43472 1 Lfprojects 1 Mlflow 2024-08-02 7.5 High
An issue in MLFlow versions 2.8.1 and before allows a remote attacker to obtain sensitive information via a crafted request to REST API.
CVE-2023-30549 3 Lfprojects, Redhat, Sylabs 3 Apptainer, Enterprise Linux, Singularity 2024-08-02 7.1 High
Apptainer is an open source container platform for Linux. There is an ext4 use-after-free flaw that is exploitable through versions of Apptainer < 1.1.0 and installations that include apptainer-suid < 1.1.8 on older operating systems where that CVE has not been patched. That includes Red Hat Enterprise Linux 7, Debian 10 buster (unless the linux-5.10 package is installed), Ubuntu 18.04 bionic and Ubuntu 20.04 focal. Use-after-free flaws in the kernel can be used to attack the kernel for denial of service and potentially for privilege escalation. Apptainer 1.1.8 includes a patch that by default disables mounting of extfs filesystem types in setuid-root mode, while continuing to allow mounting of extfs filesystems in non-setuid "rootless" mode using fuse2fs. Some workarounds are possible. Either do not install apptainer-suid (for versions 1.1.0 through 1.1.7) or set `allow setuid = no` in apptainer.conf. This requires having unprivileged user namespaces enabled and except for apptainer 1.1.x versions will disallow mounting of sif files, extfs files, and squashfs files in addition to other, less significant impacts. (Encrypted sif files are also not supported unprivileged in apptainer 1.1.x.). Alternatively, use the `limit containers` options in apptainer.conf/singularity.conf to limit sif files to trusted users, groups, and/or paths, and set `allow container extfs = no` to disallow mounting of extfs overlay files. The latter option by itself does not disallow mounting of extfs overlay partitions inside SIF files, so that's why the former options are also needed.
CVE-2023-30172 1 Lfprojects 1 Mlflow 2024-08-02 7.5 High
A directory traversal vulnerability in the /get-artifact API method of the mlflow platform up to v2.0.1 allows attackers to read arbitrary files on the server via the path parameter.
CVE-2023-23619 1 Lfprojects 1 Modelina 2024-08-02 10 Critical
Modelina is a library for generating data models based on inputs such as AsyncAPI, OpenAPI, or JSON Schema documents. Versions prior to 1.0.0 are vulnerable to Code injection. This issue affects anyone who is using the default presets and/or does not handle the functionality themself. This issue has been partially mitigated in version 1.0.0, with the maintainer's GitHub Security Advisory (GHSA) noting "It is impossible to fully guard against this, because users have access to the original raw information. However, as of version 1, if you only access the constrained models, you will not encounter this issue. Further similar situations are NOT seen as a security issue, but intended behavior." The suggested workaround from the maintainers is "Fully custom presets that change the entire rendering process which can then escape the user input."
CVE-2023-6974 1 Lfprojects 1 Mlflow 2024-08-02 9.8 Critical
A malicious user could use this issue to access internal HTTP(s) servers and in the worst case (ie: aws instance) it could be abuse to get a remote code execution on the victim machine.
CVE-2023-6977 1 Lfprojects 1 Mlflow 2024-08-02 7.5 High
This vulnerability enables malicious users to read sensitive files on the server.
CVE-2023-6976 1 Lfprojects 1 Mlflow 2024-08-02 8.8 High
This vulnerability is capable of writing arbitrary files into arbitrary locations on the remote filesystem in the context of the server process.
CVE-2023-6975 1 Lfprojects 1 Mlflow 2024-08-02 9.8 Critical
A malicious user could use this issue to get command execution on the vulnerable machine and get access to data & models information.
CVE-2023-6940 1 Lfprojects 1 Mlflow 2024-08-02 8.8 High
with only one user interaction(download a malicious config), attackers can gain full command execution on the victim system.