CVE-2025-10157: Picklescan Picklescan Is Vulnerable To Unsafe Vulnerability

CRITICAL
Advisory Identifier: GHSA-f7qq-56ww-84cr
CVSS 8.3
CWE-693
Published
Advisory Summary

CVE-2025-10157 is a CRITICAL (CVSS 8.3) picklescan is vulnerable to unsafe vulnerability (CWE-693: Protection Mechanism Failure) affecting Picklescan libraries in the PyPI ecosystem. The issue involves picklescan is vulnerable to unsafe globals check bypass through subclass imports. Remediation is available by upgrading affected packages to version 0.0.31.

CVE-2025-10157 at a Glance

CVE Identifier CVE-2025-10157
GHSA Identifier GHSA-f7qq-56ww-84cr
Severity CRITICAL
CVSS v3.1 Base Score 8.3
CWE Classification CWE-693: Protection Mechanism Failure
Affected Product Picklescan
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 8.3

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:R/S:U/C:H/I:H/A:L).

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

How to Fix CVE-2025-10157

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

picklescan fixed: 0.0.31
pip install picklescan>=0.0.31
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 picklescan

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2025-10157, inspect your installed packages using pip:

pip show picklescan

Analyze the terminal output to locate any version of Picklescan in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 0.0.31), your application is affected.

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

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-693: Protection Mechanism Failure, where the product does not use or incorrectly uses a protection mechanism that provides sufficient defense against directed attacks against the product. In Picklescan, 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

### Summary The vulnerability allows malicious actors to bypass PickleScan's unsafe globals check, leading to potential arbitrary code execution. The issue stems from PickleScan's strict check for full module names against its list of unsafe globals. By using subclasses of dangerous imports instead of the exact module names, attackers can circumvent the check and inject malicious payloads. ### PoC 1. Download a model that uses the `asyncio` package: ```wget https://huggingface.co/iluem/linux_pkl/resolve/main/asyncio_asyncio_unix_events___UnixSubprocessTransport__start.pkl``` 2. Check with PickleScan: `picklescan -p asyncio_asyncio_unix_events___UnixSubprocessTransport__start.pkl -g` **Expected Result:** PickleScan should identify all `asyncio` import as dangerous and flag the pickle file as malicious as `asyncio` is in `_unsafe_globals` dictionary. **Actual Result:** ![Screenshot 2025-06-29 at 14 13 38](https://github.com/user-attachments/assets/39467f50-5cdb-4c25-bb37-35c03dc4a626) PickleScan marked the import as Suspicious, failing to identify it as a dangerous import. ### Impact **Severity**: High **Affected Users**: Any organization, like HuggingFace, or individual using PickleScan to analyze PyTorch models or other files distributed as ZIP archives for malicious pickle content. **Impact Details**: Attackers can craft malicious PyTorch models containing embedded pickle payloads, package them into ZIP archives, and bypass the PickleScan check by using subclasses of dangerous imports. This could lead to arbitrary code execution on the user's system when these malicious files are processed or loaded. **Recommendations:** **Replace:** https://github.com/mmaitre314/picklescan/blob/2a8383cfeb4158567f9770d86597300c9e508d0f/src/picklescan/scanner.py#L309C9-L309C54 ` unsafe_filter = _unsafe_globals.get(g.module)` by: ``` matched_key = None if imported_global.module: for key_in_globals in unsafe_globals.keys(): # Check if imported_global.module starts with the key_in_globals AND # (it's the first match OR this key is more specific than the previous match) # AND imported_global.module is exactly the key or imported_global.module is key + '.' + something if imported_global.module.startswith(key_in_globals): if (imported_global.module == key_in_globals or # Exact match (len(imported_global.module) > len(key_in_globals) and imported_global.module[len(key_in_globals)] == '.')): # Submodule match if matched_key is None or len(key_in_globals) > len(matched_key): matched_key = key_in_globals if matched_key: unsafe_filter = unsafe_globals[matched_key] ```

CVE-2025-10157 Affected Picklescan Versions

1 component(s)
Fixed Versions:
0.0.31
Product / Package Ecosystem Affected Versions Fixed Version
picklescan
PyPI
< 0.0.31
0.0.31

References

Frequently Asked Questions

What is CVE-2025-10157?
CVE-2025-10157 is a security vulnerability in Picklescan involving Picklescan is Vulnerable to Unsafe Globals Check Bypass through Subclass Imports under CWE-693: Protection Mechanism Failure.
Which Picklescan versions are affected?
Affected versions include releases prior to 0.0.31 across affected packages: picklescan.
What version fixes CVE-2025-10157?
Upgrading to 0.0.31 (or the latest patched release for your respective branch) resolves the vulnerability.
Is picklescan affected?
Yes, picklescan is affected in releases prior to 0.0.31. Upgrade your dependency to 0.0.31 or later.
What is the CVSS score of CVE-2025-10157?
CVE-2025-10157 has a CVSS v3.1 base score of 8.3 (CRITICAL) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:L.
What CWE is associated with CVE-2025-10157?
CVE-2025-10157 is classified under CWE-693: Protection Mechanism Failure (The product does not use or incorrectly uses a protection mechanism that provides sufficient defense against directed attacks against the product.).
How can I check PyPI dependencies for CVE-2025-10157?
Run the dependency tree command: 'pip show picklescan'. 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-f7qq-56ww-84cr",
  "modified" : "2026-06-06T14:43:04Z",
  "published" : "2025-09-10T17:15:33Z",
  "aliases" : [ "CVE-2025-10157" ],
  "summary" : "Picklescan is Vulnerable to Unsafe Globals Check Bypass through Subclass Imports",
  "details" : "### Summary\nThe vulnerability allows malicious actors to bypass PickleScan's unsafe globals check, leading to potential arbitrary code execution. The issue stems from PickleScan's strict check for full module names against its list of unsafe globals. By using subclasses of dangerous imports instead of the exact module names, attackers can circumvent the check and inject malicious payloads.\n\n### PoC\n1. Download a model that uses the `asyncio` package: \n\n```wget https://huggingface.co/iluem/linux_pkl/resolve/main/asyncio_asyncio_unix_events___UnixSubprocessTransport__start.pkl```\n\n2. Check with PickleScan: `picklescan -p asyncio_asyncio_unix_events___UnixSubprocessTransport__start.pkl -g`\n\n**Expected Result:**\n\nPickleScan should identify all `asyncio` import as dangerous and flag the pickle file as malicious as `asyncio` is in `_unsafe_globals` dictionary.\n\n**Actual Result:**\n![Screenshot 2025-06-29 at 14 13 38](https://github.com/user-attachments/assets/39467f50-5cdb-4c25-bb37-35c03dc4a626)\n\nPickleScan marked the import as Suspicious, failing to identify it as a dangerous import.\n\n### Impact\n**Severity**: High\n**Affected Users**: Any organization, like HuggingFace, or individual using PickleScan to analyze PyTorch models or other files distributed as ZIP archives for malicious pickle content.\n**Impact Details**: Attackers can craft malicious PyTorch models containing embedded pickle payloads, package them into ZIP archives, and bypass the PickleScan check by using subclasses of dangerous imports. This could lead to arbitrary code execution on the user's system when these malicious files are processed or loaded.\n\n**Recommendations:**\n\n**Replace:**\nhttps://github.com/mmaitre314/picklescan/blob/2a8383cfeb4158567f9770d86597300c9e508d0f/src/picklescan/scanner.py#L309C9-L309C54\n\n\n  `      unsafe_filter = _unsafe_globals.get(g.module)`\n\nby:\n```\n      matched_key = None\n        if imported_global.module:\n            for key_in_globals in unsafe_globals.keys():\n                # Check if imported_global.module starts with the key_in_globals AND\n                # (it's the first match OR this key is more specific than the previous match)\n                # AND imported_global.module is exactly the key or imported_global.module is key + '.' + something\n                if imported_global.module.startswith(key_in_globals):\n                    if (imported_global.module == key_in_globals or # Exact match\n                            (len(imported_global.module) > len(key_in_globals) and imported_global.module[len(key_in_globals)] == '.')): # Submodule match\n                        if matched_key is None or len(key_in_globals) > len(matched_key):\n                            matched_key = key_in_globals\n\n        if matched_key:\n            unsafe_filter = unsafe_globals[matched_key]\n```",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:L"
  }, {
    "type" : "CVSS_V4",
    "score" : "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "picklescan"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "0.0.31"
      } ]
    } ],
    "database_specific" : {
      "last_known_affected_version_range" : "<= 0.0.30"
    }
  } ],
  "references" : [ {
    "type" : "WEB",
    "url" : "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-f7qq-56ww-84cr"
  }, {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2025-10157"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/mmaitre314/picklescan/pull/50"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/mmaitre314/picklescan/commit/28a7b4ef753466572bda3313737116eeb9b4e5c5"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/mmaitre314/picklescan"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/mmaitre314/picklescan/blob/2a8383cfeb4158567f9770d86597300c9e508d0f/src/picklescan/scanner.py#L309"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pypa/advisory-database/tree/main/vulns/picklescan/PYSEC-2025-153.yaml"
  }, {
    "type" : "WEB",
    "url" : "https://huggingface.co/iluem/linux_pkl/resolve/main/asyncio_asyncio_unix_events___UnixSubprocessTransport__start.pkl"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-693" ],
    "severity" : "CRITICAL",
    "github_reviewed" : true,
    "github_reviewed_at" : "2025-09-10T17:15:33Z",
    "nvd_published_at" : null
  }
}