cdo-local-uuid project provides a specialized UUID-generating function that can, on user request, cause a program to generate deterministic UUIDs. An information leakage vulnerability is present in `cdo-local-uuid` at version `0.4.0`, and in `case-utils` in unpatched versions (matching the pattern `0.x.0`) at and since `0.5.0`, before `0.15.0`. The vulnerability stems from a Python function, `cdo_local_uuid.local_uuid()`, and its original implementation `case_utils.local_uuid()`.
Max CVSS
2.8
EPSS Score
0.04%
Published
2024-01-11
Updated
2024-01-19
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.
Max CVSS
7.5
EPSS Score
0.12%
Published
2023-12-05
Updated
2023-12-11
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.
Max CVSS
6.1
EPSS Score
0.05%
Published
2023-07-25
Updated
2023-08-02
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.
Max CVSS
7.8
EPSS Score
0.06%
Published
2023-04-25
Updated
2023-11-25
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.
Max CVSS
7.5
EPSS Score
0.09%
Published
2023-05-11
Updated
2023-05-22
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."
Max CVSS
9.9
EPSS Score
0.09%
Published
2023-01-26
Updated
2023-02-06
This vulnerability enables malicious users to read sensitive files on the server.
Max CVSS
10.0
EPSS Score
0.41%
Published
2023-12-20
Updated
2023-12-29
This vulnerability is capable of writing arbitrary files into arbitrary locations on the remote filesystem in the context of the server process.
Max CVSS
8.8
EPSS Score
0.05%
Published
2023-12-20
Updated
2023-12-29
A malicious user could use this issue to get command execution on the vulnerable machine and get access to data & models information.
Max CVSS
9.8
EPSS Score
0.12%
Published
2023-12-20
Updated
2024-02-06
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.
Max CVSS
9.8
EPSS Score
0.26%
Published
2023-12-20
Updated
2023-12-29
with only one user interaction(download a malicious config), attackers can gain full command execution on the victim system.
Max CVSS
9.0
EPSS Score
0.13%
Published
2023-12-19
Updated
2023-12-29
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2.
Max CVSS
7.5
EPSS Score
0.41%
Published
2023-12-18
Updated
2024-02-06
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2.
Max CVSS
8.1
EPSS Score
0.25%
Published
2023-12-15
Updated
2024-02-13
Path Traversal in GitHub repository mlflow/mlflow prior to 2.9.2.
Max CVSS
9.6
EPSS Score
0.09%
Published
2023-12-13
Updated
2023-12-15
Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2.
Max CVSS
10.0
EPSS Score
0.05%
Published
2023-12-12
Updated
2023-12-13
Cross-site Scripting (XSS) - Reflected in GitHub repository mlflow/mlflow prior to 2.9.0.
Max CVSS
6.5
EPSS Score
0.05%
Published
2023-12-07
Updated
2023-12-09
An attacker can overwrite any file on the server hosting MLflow without any authentication.
Max CVSS
10.0
EPSS Score
84.67%
Published
2023-11-16
Updated
2023-11-29
MLflow allowed arbitrary files to be PUT onto the server.
Max CVSS
10.0
EPSS Score
0.09%
Published
2023-11-16
Updated
2023-11-29
An attacker is able to arbitrarily create an account in MLflow bypassing any authentication requirment.
Max CVSS
9.8
EPSS Score
0.11%
Published
2023-11-16
Updated
2023-11-24
OS Command Injection in GitHub repository mlflow/mlflow prior to 2.6.0.
Max CVSS
8.8
EPSS Score
0.04%
Published
2023-08-01
Updated
2023-08-04
Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.5.0.
Max CVSS
10.0
EPSS Score
0.86%
Published
2023-07-19
Updated
2023-07-28
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.3.1.
Max CVSS
9.8
EPSS Score
4.25%
Published
2023-05-17
Updated
2023-05-25
Relative Path Traversal in GitHub repository mlflow/mlflow prior to 2.3.1.
Max CVSS
10.0
EPSS Score
0.96%
Published
2023-04-28
Updated
2023-05-05
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.2.1.
Max CVSS
9.8
EPSS Score
3.01%
Published
2023-03-24
Updated
2023-11-02
Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.2.2.
Max CVSS
5.3
EPSS Score
0.04%
Published
2023-03-24
Updated
2023-03-28
27 vulnerabilities found
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