CVE-2025-71348: Picklescan Picklescan Is Missing Detection When Vulnerability
HIGHCVE-2025-71348 is a HIGH (CVSS 8.1) picklescan is missing detection when vulnerability (CWE-345: Insufficient Verification of Data Authenticity) affecting Picklescan libraries in the PyPI ecosystem. The issue involves picklescan is missing detection when calling pytorch function torch.utils._config_module.load_config. Remediation is available by upgrading affected packages to version 0.0.28.
CVE-2025-71348 at a Glance
Security Impact
CVSS: 8.1
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:N).
How to Fix CVE-2025-71348
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.
pip install picklescan>=0.0.28Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show picklescanHow to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2025-71348, inspect your installed packages using pip:
pip show picklescanAnalyze 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 0.0.28), 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-345: Insufficient Verification of Data Authenticity, where the product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data. 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
CVE-2025-71348 Affected Picklescan Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
picklescan
|
PyPI |
< 0.0.28
|
0.0.28
|
References
Frequently Asked Questions
What is CVE-2025-71348?
Which Picklescan versions are affected?
What version fixes CVE-2025-71348?
Is picklescan affected?
What is the CVSS score of CVE-2025-71348?
What CWE is associated with CVE-2025-71348?
How can I check PyPI dependencies for CVE-2025-71348?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-vv6j-3g6g-2pvj",
"modified" : "2026-09-11T19:36:47Z",
"published" : "2025-08-22T16:58:14Z",
"aliases" : [ "CVE-2025-71348" ],
"summary" : "Picklescan is missing detection when calling pytorch function torch.utils._config_module.load_config",
"details" : "### Summary\n\nUsing torch.utils._config_module.load_config function, which is a pytorch library function to execute remote pickle file.\n\n### Details\n\nThe attack payload executes in the following steps:\n\nFirst, the attacker crafts the payload by calling the torch.utils._config_module.load_config function via the __reduce__ method. Then the victim checks whether the pickle file is safe using the Picklescan library. Because the library fails to detect any dangerous functions, the victim decides to pickle.load() this malicious file, leading to remote code execution.\n\n### PoC\n\n```\nimport pickle\nfrom torch.utils._config_module import ConfigModule\n\nclass Evil:\n def __reduce__(self):\n return (os.system, ('whoami',))\n\nclass EvilTorchUtilsConfigModuleLoadConfig:\n def __reduce__(self):\n evil_payload = pickle.dumps(Evil())\n return ConfigModule.load_config, (None, evil_payload)\n```\n\n### Impact\n\nWho is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models.\nWhat is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded.\nSupply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.\n\n### Corresponding\n\nhttps://github.com/FredericDT\nhttps://github.com/Qhaoduoyu",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N"
}, {
"type" : "CVSS_V4",
"score" : "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "picklescan"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "0.0.28"
} ]
} ],
"database_specific" : {
"last_known_affected_version_range" : "<= 0.0.27"
}
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-vv6j-3g6g-2pvj"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2025-71348"
}, {
"type" : "WEB",
"url" : "https://github.com/mmaitre314/picklescan/pull/47"
}, {
"type" : "WEB",
"url" : "https://github.com/mmaitre314/picklescan/commit/7f994d62084fe43f1cffdef2f9bae6923344ef53"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/mmaitre314/picklescan"
}, {
"type" : "WEB",
"url" : "https://github.com/mmaitre314/picklescan/releases/tag/v0.0.28"
}, {
"type" : "WEB",
"url" : "https://github.com/pypa/advisory-database/tree/main/vulns/picklescan/PYSEC-2026-245.yaml"
}, {
"type" : "WEB",
"url" : "https://www.vulncheck.com/advisories/picklescan-arbitrary-code-execution-via-torch-utils-config-module-load-config-bypass"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-345" ],
"severity" : "HIGH",
"github_reviewed" : true,
"github_reviewed_at" : "2025-08-22T16:58:14Z",
"nvd_published_at" : null
}
}