Vulnerabilities in pkg:pypi/ml-logger

PACKAGE
Advisory Identifier: GHSA-9x36-c74v-fgr6
Advisory Summary

CVE-2025-10952 is a MODERATE (CVSS 5.3) ml-logger file handler allows reading vulnerability (CWE-200: Exposure of Sensitive Information to an Unauthorized Actor) affecting Ml logger libraries in the PyPI ecosystem. The issue involves ml-logger file handler allows reading arbitrary files. Remediation is available in the latest vendor maintenance releases.

3 Known Advisory Record(s)
Package Vulnerability Intelligence

pkg:pypi/ml-logger

3 Known Advisory Record(s)

Vulnerability advisories affecting package pkg:pypi/ml-logger. Select an advisory below to view technical details or fixes.

Advisory ID CVE / NVD Severity Summary
GHSA-9x36-c74v-fgr6 CVE-2025-10952 MODERATE ml-logger file handler allows reading arbitrary files
GHSA-8x9j-2p8r-7xc6 CVE-2025-10951 MODERATE ml-logger has path traversal in the file argument
GHSA-57hm-8rjv-498w CVE-2025-10950 LOW ml-logger deserialization vulnerability

CVE-2025-10952 at a Glance

CVE Identifier CVE-2025-10952
GHSA Identifier GHSA-9x36-c74v-fgr6
Severity MODERATE
CVSS v3.1 Base Score 5.3
CWE Classification CWE-200: Exposure of Sensitive Information to an Unauthorized Actor
Affected Product Ml logger
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 5.3

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

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

How to Fix CVE-2025-10952

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-2025-10952, 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-200: Exposure of Sensitive Information to an Unauthorized Actor, where the product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. 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 security flaw has been discovered in geyang ml-logger up to acf255bade5be6ad88d90735c8367b28cbe3a743. Affected by this issue is the function stream_handler of the file ml_logger/server.py of the component File Handler. Performing manipulation of the argument key results in information disclosure. The attack can be initiated remotely. The exploit has been released to the public and may be exploited. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available.

CVE-2025-10952 Affected Ml logger Versions

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

References

Frequently Asked Questions

What is CVE-2025-10952?
CVE-2025-10952 is a security vulnerability in Ml logger involving ml-logger file handler allows reading arbitrary files under CWE-200: Exposure of Sensitive Information to an Unauthorized Actor.
Which Ml logger versions are affected?
Affected versions include releases prior to current release patches across affected packages: ml-logger.
What version fixes CVE-2025-10952?
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-2025-10952?
CVE-2025-10952 has a CVSS v3.1 base score of 5.3 (MODERATE) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N.
What CWE is associated with CVE-2025-10952?
CVE-2025-10952 is classified under CWE-200: Exposure of Sensitive Information to an Unauthorized Actor (The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.).
How can I check PyPI dependencies for CVE-2025-10952?
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
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-9x36-c74v-fgr6",
  "modified" : "2025-09-26T13:01:32Z",
  "published" : "2025-09-25T18:30:33Z",
  "aliases" : [ "CVE-2025-10952" ],
  "summary" : "ml-logger file handler allows reading arbitrary files",
  "details" : "A security flaw has been discovered in geyang ml-logger up to acf255bade5be6ad88d90735c8367b28cbe3a743. Affected by this issue is the function stream_handler of the file ml_logger/server.py of the component File Handler. Performing manipulation of the argument key results in information disclosure. The attack can be initiated remotely. The exploit has been released to the public and may be exploited. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N"
  }, {
    "type" : "CVSS_V4",
    "score" : "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/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-2025-10952"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/geyang/ml-logger/issues/74"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/geyang/ml-logger"
  }, {
    "type" : "WEB",
    "url" : "https://vuldb.com/?ctiid.325822"
  }, {
    "type" : "WEB",
    "url" : "https://vuldb.com/?id.325822"
  }, {
    "type" : "WEB",
    "url" : "https://vuldb.com/?submit.652463"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-200" ],
    "severity" : "MODERATE",
    "github_reviewed" : true,
    "github_reviewed_at" : "2025-09-26T13:01:32Z",
    "nvd_published_at" : "2025-09-25T16:15:31Z"
  }
}