CVE-2025-10950: Ml logger Ml-logger Deserialization Vulnerability Vulnerability

LOW
Advisory Identifier: GHSA-57hm-8rjv-498w
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CVSS 6.3
CWE-502 CWE-20
Published
Advisory Summary

CVE-2025-10950 is a LOW (CVSS 6.3) ml-logger deserialization vulnerability vulnerability (CWE-502: Deserialization of Untrusted Data) affecting Ml logger libraries in the PyPI ecosystem. The issue involves ml-logger deserialization vulnerability. Remediation is available in the latest vendor maintenance releases.

CVE-2025-10950 at a Glance

CVE Identifier CVE-2025-10950
GHSA Identifier GHSA-57hm-8rjv-498w
Severity LOW
CVSS v3.1 Base Score 6.3
CWE Classification CWE-502: Deserialization of Untrusted Data
Affected Product Ml logger
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 6.3

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L).

Attack Vector Network (AV:N)
Attack Complexity Low (AC:L)
Privileges Required Low (PR:L)
User Interaction None (UI:N)
Scope Unchanged (S:U)
Confidentiality Low (C:L)
Integrity Low (I:L)
Availability Low (A:L)

How to Fix CVE-2025-10950

To remediate this vulnerability, upgrade all affected Ml logger dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

ml-logger fixed: Latest secure release 
pip install ml-logger>=Latest secure release
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release: 

pip show ml-logger

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2025-10950, inspect your installed packages using pip:

pip show ml-logger

Analyze the terminal output to locate any version of Ml logger in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than the patched release), your application is affected.

Note: The pip show ml-logger command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-502: Deserialization of Untrusted Data, where the product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid. In Ml logger, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

A vulnerability was determined in geyang ml-logger 0.10.36 and prior. Affected is the function log_handler of the file ml_logger/server.py of the component Ping Handler. This manipulation of the argument data causes deserialization. It is possible to initiate the attack remotely. The exploit has been publicly disclosed and may be utilized. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available.

CVE-2025-10950 Affected Ml logger Versions

1 component(s)
Product / Package Ecosystem Affected Versions Fixed Version
ml-logger
pypi/ml-logger
PyPI
≤ 0.10.36

References

NVD — CVE-2025-10950 NVD
https://nvd.nist.gov/vuln/detail/CVE-2025-10950
Ml logger Source Repository REPOSITORY
https://github.com/geyang/ml-logger/issues/72
Ml logger Source Repository REPOSITORY
https://github.com/geyang/ml-logger
vuldb.com/ WEB
https://vuldb.com/?ctiid.325820
vuldb.com/ WEB
https://vuldb.com/?id.325820
vuldb.com/ WEB
https://vuldb.com/?submit.652461

Frequently Asked Questions

What is CVE-2025-10950?
CVE-2025-10950 is a security vulnerability in Ml logger involving ml-logger deserialization vulnerability under CWE-502: Deserialization of Untrusted Data.
Which Ml logger versions are affected?
Affected versions include releases prior to current release patches across affected packages: ml-logger.
What version fixes CVE-2025-10950?
Upgrading to current release patches (or the latest patched release for your respective branch) resolves the vulnerability.
Is ml-logger affected?
Yes, ml-logger is affected in releases prior to Latest secure release. Upgrade your dependency to Latest secure release or later.
What is the CVSS score of CVE-2025-10950?
CVE-2025-10950 has a CVSS v3.1 base score of 6.3 (LOW) with vector string CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L.
What CWE is associated with CVE-2025-10950?
CVE-2025-10950 is classified under CWE-502: Deserialization of Untrusted Data (The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.).
How can I check PyPI dependencies for CVE-2025-10950?
Run the dependency tree command: 'pip show ml-logger'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-57hm-8rjv-498w",
  "modified" : "2025-09-25T16:53:45Z",
  "published" : "2025-09-25T15:30:24Z",
  "aliases" : [ "CVE-2025-10950" ],
  "summary" : "ml-logger deserialization vulnerability",
  "details" : "A vulnerability was determined in geyang ml-logger 0.10.36 and prior. Affected is the function log_handler of the file ml_logger/server.py of the component Ping Handler. This manipulation of the argument data causes deserialization. It is possible to initiate the attack remotely. The exploit has been publicly disclosed and may be utilized. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L"
  }, {
    "type" : "CVSS_V4",
    "score" : "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "ml-logger"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "last_affected" : "0.10.36"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2025-10950"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/geyang/ml-logger/issues/72"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/geyang/ml-logger"
  }, {
    "type" : "WEB",
    "url" : "https://vuldb.com/?ctiid.325820"
  }, {
    "type" : "WEB",
    "url" : "https://vuldb.com/?id.325820"
  }, {
    "type" : "WEB",
    "url" : "https://vuldb.com/?submit.652461"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-20", "CWE-502" ],
    "severity" : "LOW",
    "github_reviewed" : true,
    "github_reviewed_at" : "2025-09-25T16:53:45Z",
    "nvd_published_at" : "2025-09-25T15:16:10Z"
  }
}