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69 vulnerabilities by lfprojects
CVE-2026-21864 (GCVE-0-2026-21864)
Vulnerability from cvelistv5 – Published: 2026-02-24 00:24 – Updated: 2026-02-26 14:38
VLAI?
Title
Remote DoS from malformed RESTORE command
Summary
Valkey-Bloom is a Rust based Valkey module which brings a Bloom Filter (Module) data type into the Valkey distributed key-value database. Prior to commit a68614b6e3845777d383b3a513cedcc08b3b7ccd, a specially crafted `RESTORE` command can cause Valkey to hit an assertion, causes the server to shutdown. Valkey modules are required to handle errors in RDB parsing by using `VALKEYMODULE_OPTIONS_HANDLE_IO_ERRORS` flag. If this flag is not set, errors encountered during parsing result in a system assertion which shuts down the system. Even though the Valkey-bloom module correctly handled the parsing, it did not originally set the flag. Commit a68614b6e3845777d383b3a513cedcc08b3b7ccd contains a patch. One may mitigate this defect by disabling the `RESTORE` command if it is unused by one's application.
Severity ?
6.5 (Medium)
CWE
- CWE-20 - Improper Input Validation
Assigner
References
| URL | Tags | |||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| valkey-io | valkey-bloom |
Affected:
< a68614b6e3845777d383b3a513cedcc08b3b7ccd
|
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CVE-2026-27623 (GCVE-0-2026-27623)
Vulnerability from cvelistv5 – Published: 2026-02-23 19:43 – Updated: 2026-02-25 14:59
VLAI?
Title
Valkey has Pre-Authentication DOS from malformed RESP request
Summary
Valkey is a distributed key-value database. Starting in version 9.0.0 and prior to version 9.0.3, a malicious actor with network access to Valkey can cause the system to abort by triggering an assertion. When processing incoming requests, the Valkey system does not properly reset the networking state after processing an empty request. A malicious actor can then send a request that the server incorrectly identifies as breaking server side invariants, which results in the server shutting down. Version 9.0.3 fixes the issue. As an additional mitigation, properly isolate Valkey deployments so that only trusted users have access.
Severity ?
7.5 (High)
CWE
- CWE-20 - Improper Input Validation
Assigner
References
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|
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CVE-2026-21863 (GCVE-0-2026-21863)
Vulnerability from cvelistv5 – Published: 2026-02-23 19:41 – Updated: 2026-02-25 14:58
VLAI?
Title
Malformed Valkey Cluster bus message can lead to Remote DoS
Summary
Valkey is a distributed key-value database. Prior to versions 9.0.2, 8.1.6, 8.0.7, and 7.2.12, a malicious actor with access to the Valkey clusterbus port can send an invalid packet that may cause an out bound read, which might result in the system crashing. The Valkey clusterbus packet processing code does not validate that a clusterbus ping extension packet is located within buffer of the clusterbus packet before attempting to read it. Versions 9.0.2, 8.1.6, 8.0.7, and 7.2.12 fix the issue. As an additional mitigation, don't expose the cluster bus connection directly to end users, and protect the connection with its own network ACLs.
Severity ?
7.5 (High)
CWE
- CWE-125 - Out-of-bounds Read
Assigner
References
| URL | Tags | ||||
|---|---|---|---|---|---|
|
|||||
Impacted products
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CVE-2025-67733 (GCVE-0-2025-67733)
Vulnerability from cvelistv5 – Published: 2026-02-23 19:39 – Updated: 2026-02-25 14:57
VLAI?
Title
Valkey Affected by RESP Protocol Injection via Lua error_reply
Summary
Valkey is a distributed key-value database. Prior to versions 9.0.2, 8.1.6, 8.0.7, and 7.2.12, a malicious user can use scripting commands to inject arbitrary information into the response stream for the given client, potentially corrupting or returning tampered data to other users on the same connection. The error handling code for lua scripts does not properly handle null characters. Versions 9.0.2, 8.1.6, 8.0.7, and 7.2.12 fix the issue.
Severity ?
8.5 (High)
CWE
- CWE-74 - Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
Assigner
References
| URL | Tags | ||||
|---|---|---|---|---|---|
|
|||||
Impacted products
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CVE-2026-0621 (GCVE-0-2026-0621)
Vulnerability from cvelistv5 – Published: 2026-01-05 20:57 – Updated: 2026-01-05 21:48
VLAI?
Title
MCP TypeScript SDK UriTemplate Exploded Array Pattern ReDoS
Summary
Anthropic's MCP TypeScript SDK versions up to and including 1.25.1 contain a regular expression denial of service (ReDoS) vulnerability in the UriTemplate class when processing RFC 6570 exploded array patterns. The dynamically generated regular expression used during URI matching contains nested quantifiers that can trigger catastrophic backtracking on specially crafted inputs, resulting in excessive CPU consumption. An attacker can exploit this by supplying a malicious URI that causes the Node.js process to become unresponsive, leading to a denial of service.
Severity ?
CWE
- CWE-1333 - Inefficient Regular Expression Complexity
Assigner
References
| URL | Tags | |||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Anthropic | MCP TypeScript SDK |
Affected:
0 , ≤ 1.25.1
(semver)
|
Credits
Weblover
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CVE-2025-65105 (GCVE-0-2025-65105)
Vulnerability from cvelistv5 – Published: 2025-12-02 17:49 – Updated: 2025-12-02 18:46
VLAI?
Title
Apptainer ineffective application of selinux and apparmor --security options
Summary
Apptainer is an open source container platform. In Apptainer versions less than 1.4.5, a container can disable two of the forms of the little used --security option, in particular the forms --security=apparmor:<profile> and --security=selinux:<label> which otherwise put restrictions on operations that containers can do. The --security option has always been mentioned in Apptainer documentation as being a feature for the root user, although these forms do also work for unprivileged users on systems where the corresponding feature is enabled. Apparmor is enabled by default on Debian-based distributions and SElinux is enabled by default on RHEL-based distributions, but on SUSE it depends on the distribution version. This vulnerability is fixed in 1.4.5.
Severity ?
4.5 (Medium)
CWE
Assigner
References
| URL | Tags | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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CVE-2025-11200 (GCVE-0-2025-11200)
Vulnerability from cvelistv5 – Published: 2025-10-29 19:42 – Updated: 2026-02-26 16:56
VLAI?
Title
MLflow Weak Password Requirements Authentication Bypass Vulnerability
Summary
MLflow Weak Password Requirements Authentication Bypass Vulnerability. This vulnerability allows remote attackers to bypass authentication on affected installations of MLflow. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the handling of passwords. The issue results from weak password requirements. An attacker can leverage this vulnerability to bypass authentication on the system. Was ZDI-CAN-26916.
Severity ?
8.1 (High)
CWE
- CWE-521 - Weak Password Requirements
Assigner
References
| URL | Tags | |||||||
|---|---|---|---|---|---|---|---|---|
|
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CVE-2025-11201 (GCVE-0-2025-11201)
Vulnerability from cvelistv5 – Published: 2025-10-29 19:37 – Updated: 2026-02-26 16:56
VLAI?
Title
MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability
Summary
MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow Tracking Server. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the handling of model file paths. The issue results from the lack of proper validation of a user-supplied path prior to using it in file operations. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-26921.
Severity ?
8.1 (High)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
| URL | Tags | |||||||
|---|---|---|---|---|---|---|---|---|
|
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CVE-2025-49844 (GCVE-0-2025-49844)
Vulnerability from cvelistv5 – Published: 2025-10-03 19:27 – Updated: 2026-02-26 17:48
VLAI?
Title
Redis Lua Use-After-Free may lead to remote code execution
Summary
Redis is an open source, in-memory database that persists on disk. Versions 8.2.1 and below allow an authenticated user to use a specially crafted Lua script to manipulate the garbage collector, trigger a use-after-free and potentially lead to remote code execution. The problem exists in all versions of Redis with Lua scripting. This issue is fixed in version 8.2.2. To workaround this issue without patching the redis-server executable is to prevent users from executing Lua scripts. This can be done using ACL to restrict EVAL and EVALSHA commands.
Severity ?
10 (Critical)
CWE
- CWE-416 - Use After Free
Assigner
References
| URL | Tags | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
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CVE-2025-52967 (GCVE-0-2025-52967)
Vulnerability from cvelistv5 – Published: 2025-06-23 00:00 – Updated: 2025-06-23 20:12
VLAI?
Summary
gateway_proxy_handler in MLflow before 3.1.0 lacks gateway_path validation.
Severity ?
5.8 (Medium)
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| lfprojects | MLflow |
Affected:
0 , < 3.1.0
(semver)
|
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CVE-2025-21605 (GCVE-0-2025-21605)
Vulnerability from cvelistv5 – Published: 2025-04-23 15:38 – Updated: 2026-02-10 17:06
VLAI?
Title
Redis DoS Vulnerability due to unlimited growth of output buffers abused by unauthenticated client
Summary
Redis is an open source, in-memory database that persists on disk. In versions starting at 2.6 and prior to 7.4.3, An unauthenticated client can cause unlimited growth of output buffers, until the server runs out of memory or is killed. By default, the Redis configuration does not limit the output buffer of normal clients (see client-output-buffer-limit). Therefore, the output buffer can grow unlimitedly over time. As a result, the service is exhausted and the memory is unavailable. When password authentication is enabled on the Redis server, but no password is provided, the client can still cause the output buffer to grow from "NOAUTH" responses until the system will run out of memory. This issue has been patched in version 7.4.3. An additional workaround to mitigate this problem without patching the redis-server executable is to block access to prevent unauthenticated users from connecting to Redis. This can be done in different ways. Either using network access control tools like firewalls, iptables, security groups, etc, or enabling TLS and requiring users to authenticate using client side certificates.
Severity ?
7.5 (High)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
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CVE-2025-0453 (GCVE-0-2025-0453)
Vulnerability from cvelistv5 – Published: 2025-03-20 10:11 – Updated: 2025-10-15 12:50
VLAI?
Title
Denial of Service through Batched Queries in GraphQL in mlflow/mlflow
Summary
In mlflow/mlflow version 2.17.2, the `/graphql` endpoint is vulnerable to a denial of service attack. An attacker can create large batches of queries that repeatedly request all runs from a given experiment. This can tie up all the workers allocated by MLFlow, rendering the application unable to respond to other requests. This vulnerability is due to uncontrolled resource consumption.
Severity ?
5.9 (Medium)
CWE
- CWE-410 - Insufficient Resource Pool
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2025-1473 (GCVE-0-2025-1473)
Vulnerability from cvelistv5 – Published: 2025-03-20 10:10 – Updated: 2025-03-20 18:22
VLAI?
Title
CSRF in mlflow/mlflow
Summary
A Cross-Site Request Forgery (CSRF) vulnerability exists in the Signup feature of mlflow/mlflow versions 2.17.0 to 2.20.1. This vulnerability allows an attacker to create a new account, which may be used to perform unauthorized actions on behalf of the malicious user.
Severity ?
5.4 (Medium)
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 2.20.2
(custom)
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CVE-2025-1474 (GCVE-0-2025-1474)
Vulnerability from cvelistv5 – Published: 2025-03-20 10:10 – Updated: 2025-03-20 18:22
VLAI?
Title
Weak Password Requirements in mlflow/mlflow
Summary
In mlflow/mlflow version 2.18, an admin is able to create a new user account without setting a password. This vulnerability could lead to security risks, as accounts without passwords may be susceptible to unauthorized access. Additionally, this issue violates best practices for secure user account management. The issue is fixed in version 2.19.0.
Severity ?
CWE
- CWE-521 - Weak Password Requirements
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 2.19.0
(custom)
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CVE-2024-8859 (GCVE-0-2024-8859)
Vulnerability from cvelistv5 – Published: 2025-03-20 10:09 – Updated: 2025-03-20 18:33
VLAI?
Title
Path Traversal in mlflow/mlflow
Summary
A path traversal vulnerability exists in mlflow/mlflow version 2.15.1. When users configure and use the dbfs service, concatenating the URL directly into the file protocol results in an arbitrary file read vulnerability. This issue occurs because only the path part of the URL is checked, while parts such as query and parameters are not handled. The vulnerability is triggered if the user has configured the dbfs service, and during usage, the service is mounted to a local directory.
Severity ?
7.5 (High)
CWE
- CWE-29 - Path Traversal: '\..\filename'
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 2.17.0
(custom)
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CVE-2024-6838 (GCVE-0-2024-6838)
Vulnerability from cvelistv5 – Published: 2025-03-20 10:09 – Updated: 2025-03-20 14:25
VLAI?
Title
Uncontrolled Resource Consumption in mlflow/mlflow
Summary
In mlflow/mlflow version v2.13.2, a vulnerability exists that allows the creation or renaming of an experiment with a large number of integers in its name due to the lack of a limit on the experiment name. This can cause the MLflow UI panel to become unresponsive, leading to a potential denial of service. Additionally, there is no character limit in the `artifact_location` parameter while creating the experiment.
Severity ?
5.3 (Medium)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2024-27134 (GCVE-0-2024-27134)
Vulnerability from cvelistv5 – Published: 2024-11-25 13:48 – Updated: 2024-11-25 14:23
VLAI?
Title
Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf
Summary
Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be exploited by a local attacker to gain elevated permissions by using a ToCToU attack. The issue is only relevant when the spark_udf() MLflow API is called.
Severity ?
CWE
Assigner
References
| URL | Tags | |
|---|---|---|
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CVE-2024-2928 (GCVE-0-2024-2928)
Vulnerability from cvelistv5 – Published: 2024-06-06 18:29 – Updated: 2024-08-01 19:32
VLAI?
Title
Local File Inclusion (LFI) via URI Fragment Parsing in mlflow/mlflow
Summary
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.
Severity ?
7.5 (High)
CWE
- CWE-29 - Path Traversal: '\..\filename'
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , < 2.11.3
(custom)
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CVE-2024-0520 (GCVE-0-2024-0520)
Vulnerability from cvelistv5 – Published: 2024-06-06 18:19 – Updated: 2025-10-15 12:50
VLAI?
Title
Remote Code Execution due to Full Controlled File Write in mlflow/mlflow
Summary
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.
Severity ?
10 (Critical)
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 , < 2.9.0
(custom)
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CVE-2024-3099 (GCVE-0-2024-3099)
Vulnerability from cvelistv5 – Published: 2024-06-06 18:08 – Updated: 2024-08-01 19:32
VLAI?
Title
Denial of Service and Data Model Poisoning via URL Encoding in mlflow/mlflow
Summary
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.
Severity ?
5.4 (Medium)
CWE
- CWE-475 - Undefined Behavior for Input to API
Assigner
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mlflow | mlflow/mlflow |
Affected:
unspecified , ≤ latest
(custom)
|
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CVE-2024-37061 (GCVE-0-2024-37061)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:02 – Updated: 2024-08-02 03:43
VLAI?
Summary
Remote Code Execution can occur in versions of the MLflow platform running version 1.11.0 or newer, enabling a maliciously crafted MLproject to execute arbitrary code on an end user’s system when run.
Severity ?
8.8 (High)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
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CVE-2024-37060 (GCVE-0-2024-37060)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:02 – Updated: 2024-08-02 03:43
VLAI?
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
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CVE-2024-37059 (GCVE-0-2024-37059)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:01 – Updated: 2024-08-02 03:43
VLAI?
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
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CVE-2024-37058 (GCVE-0-2024-37058)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:01 – Updated: 2024-08-02 03:43
VLAI?
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.5.0 or newer, enabling a maliciously uploaded Langchain AgentExecutor model to run arbitrary code on an end user’s system when interacted with.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
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CVE-2024-37057 (GCVE-0-2024-37057)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:01 – Updated: 2024-08-02 03:43
VLAI?
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
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CVE-2024-37056 (GCVE-0-2024-37056)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:01 – Updated: 2024-08-02 03:43
VLAI?
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
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CVE-2024-37055 (GCVE-0-2024-37055)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:00 – Updated: 2024-08-02 03:43
VLAI?
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end user’s system when interacted with.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
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CVE-2024-37054 (GCVE-0-2024-37054)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:00 – Updated: 2024-08-02 03:43
VLAI?
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
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CVE-2024-37053 (GCVE-0-2024-37053)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:00 – Updated: 2024-08-02 03:43
VLAI?
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
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CVE-2024-37052 (GCVE-0-2024-37052)
Vulnerability from cvelistv5 – Published: 2024-06-04 11:59 – Updated: 2024-08-02 03:43
VLAI?
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
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