High
picklescan - Undetected Remote Code Execution via numpy.f2py.crackfortran.param_eval
Type: advisorySources: OSV
picklescan before 0.0.33 fails to detect malicious pickle files using numpy.f2py.crackfortran.param_eval function in reduce methods, allowing attackers to bypass security checks. Remote attackers can embed undetected code in pickle files that executes during deserialization, enabling arbitrary code execution in applications loading untrusted pickle data.
- Products
- Not specified
- Affected versions
- Not specified
- Fixed versions
- Not specified
- CVEs
- CVE-2025-71347
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 8 Nov 2026, 01:12 UTC · Revision 1
Source evidence
picklescan - Undetected Remote Code Execution via numpy.f2py.crackfortran.param_eval
core-osv · Original sourcePublished 4 Jul 2026, 01:23 UTC
picklescan before 0.0.33 fails to detect malicious pickle files using numpy.f2py.crackfortran.param_eval function in reduce methods, allowing attackers to bypass security checks. Remote attackers can embed undetected code in pickle files that executes during deserialization, enabling arbitrary code execution in applications loading untrusted pickle data.
osv:CVE-2025-71347
Complete source record
{
"id": "075e2ea6be52a8d66c3061f203ad71cd5645084ce70842ce976c9b74ae960255",
"url": "https://osv.dev/vulnerability/CVE-2025-71347",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "picklescan - Undetected Remote Code Execution via numpy.f2py.crackfortran.param_eval",
"summary": "picklescan before 0.0.33 fails to detect malicious pickle files using numpy.f2py.crackfortran.param_eval function in reduce methods, allowing attackers to bypass security checks. Remote attackers can embed undetected code in pickle files that executes during deserialization, enabling arbitrary code execution in applications loading untrusted pickle data.",
"evidence": "osv:CVE-2025-71347",
"products": [],
"severity": "high",
"structured": {
"id": "CVE-2025-71347",
"aliases": [
"CVE-2025-71347",
"GHSA-cffc-mxrf-mhh4"
],
"metrics": [
{
"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": [
{
"ranges": [
{
"repo": "https://github.com/mmaitre314/picklescan",
"type": "GIT",
"events": [
{
"introduced": "0"
},
{
"fixed": "70c1c6c31beb6baaf52c8db1b6c3c0e84a6f9dab"
}
],
"database_specific": {
"extracted_events": [
{
"range": [
{
"introduced": "0"
},
{
"fixed": "0.0.33"
}
],
"source": "AFFECTED_FIELD",
"strategy": "StandardRange"
},
{
"range": [
{
"introduced": "0"
},
{
"fixed": "0.0.33"
}
],
"source": "DESCRIPTION"
}
]
}
}
],
"versions": [
"v0.0.32",
"v0.0.31",
"v0.0.30",
"v0.0.29",
"v0.0.28",
"v0.0.27",
"v0.0.26",
"v0.0.25",
"v0.0.24",
"v0.0.23",
"v0.0.22",
"v0.0.21",
"v0.0.20",
"v0.0.19",
"v0.0.18",
"v0.0.17",
"v0.0.15",
"v0.0.14",
"v0.0.13",
"v0.0.12",
"v0.0.11",
"v0.0.10",
"v0.0.9",
"v0.0.8",
"v0.0.7",
"v0.0.6",
"v0.0.5",
"v0.0.4",
"v0.0.3",
"v0.0.2"
],
"database_specific": {
"source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2025-71347.json"
}
}
],
"modified": "2026-10-28T02:30:52.515512982Z",
"provider": "osv",
"references": [
"https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/71xxx/CVE-2025-71347.json",
"https://github.com/mmaitre314/picklescan/security/advisories/GHSA-cffc-mxrf-mhh4",
"https://nvd.nist.gov/vuln/detail/CVE-2025-71347",
"https://www.vulncheck.com/advisories/picklescan-undetected-remote-code-execution-via-numpy-f2py-crackfortran-param-eval"
],
"provider_metadata": {
"cwe_ids": [
"CWE-502"
],
"cna_assigner": "VulnCheck",
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/71xxx/CVE-2025-71347.json"
}
},
"related_cves": [
{
"value": "CVE-2025-71347",
"evidence": "/id"
}
],
"security_relevant": true,
"severity_evidence": "/severity/0/score"
},
"source_id": "core-osv",
"document_id": 521233,
"published_at": "2026-07-04T01:23:33.794+00:00"
}