CVE-2025-71339

highPriorität · verfolgen · 0EPSS 0.004 · 32. PerzentilEUUS
grimoire priorityP2 · Scheduled
Exploitable?
—
no known exploitation
Likely / severe?
0.38% (32nd) EPSS
CVSS 8.1 · high
Is it mine?
2 products
Prüfe deine Angriffsfläche
Who says so?
3 sources
cnnvd · enisa_euvd · osv

EPSS · bewertet 2026-10-28

Picklescan before 0.0.33 fails to detect the numpy.f2py.crackfortran._eval_length gadget in pickle __reduce__ methods, allowing arbitrary code execution. Attackers can craft malicious pickle files that execute arbitrary Python code when loaded by victims who trust Picklescan's safety validation.

01

cvss

Technischer Schweregrad, 0–10. Eine Zeile je Quelle.

8.1
010

Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen⚠ Quellen uneinig · medium–high · 4.9–8.1

v3.18.1highCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:Nsecondary · disclosure@vulncheck.comAusnutzbarkeit 2.8 · Auswirkung 5.2
v3.18.1highCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:Nsecondary · OSV
v4.07.6highCVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:Nsecondary · ENISA EU
v4.07.6highCVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/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:Xsecondary · disclosure@vulncheck.com
v4.04.9mediumCVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/E:U/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:Xsecondary · CVSS-BT (t0sche)
02

SSVC

Eine Handlungsentscheidung — aus Ausnutzung und Auswirkung.

Exploitation: poc · Automatable: no · Technical Impact: totalcoordinatorcisa_ssvcUS
03

schwächen

Die CWE-Schwächeklassen, zu denen dies gehört.

04

betroffene Produkte (2)

Betroffene Produkte und Versionsbereiche.

05

Advisories (2)

Hersteller- und Ökosystem-Meldungen dazu.

  • GHSA-6556-fwc2-fg2pPicklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran._eval_length2025-12-30ghsa · osvUS

    ### Summary Picklescan uses the `numpy.f2py.crackfortran._eval_length` function (a NumPy F2PY helper) to execute arbitrary Python code during unpickling. ### Details Picklescan fails to detect a malicious pickle that uses the gadget `numpy.f2py.crackfortran._eval_length` in `__reduce__`, allowing arbitrary command execution when the pickle is loaded. A crafted object returns this function plus attacker‑controlled arguments; the scan reports the file as safe, but pickle.load() triggers execution. ### PoC ```python class PoC: def __reduce__(self): from numpy.f2py.crackfortran import _eval_length return _eval_length, ("__import__('os').system('whoami')", None) ``` ### Impact - Arbitrary code execution on the victim machine once they load the “scanned as safe” pickle / model file. - Affects any workflow relying on Picklescan to vet untrusted pickle / PyTorch artifacts. - Enables supply‑chain poisoning of shared model files. ### Credits - [ac0d3r](https://github.com/ac0d3r) - [Tong Liu](https://lyutoon.github.io), Institute of information engineering, CAS

  • PYSEC-2026-1783Picklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran._eval_length2026-07-07vendor · osvUS

    ### Summary Picklescan uses the `numpy.f2py.crackfortran._eval_length` function (a NumPy F2PY helper) to execute arbitrary Python code during unpickling. ### Details Picklescan fails to detect a malicious pickle that uses the gadget `numpy.f2py.crackfortran._eval_length` in `__reduce__`, allowing arbitrary command execution when the pickle is loaded. A crafted object returns this function plus attacker‑controlled arguments; the scan reports the file as safe, but pickle.load() triggers execution. ### PoC ```python class PoC: def __reduce__(self): from numpy.f2py.crackfortran import _eval_length return _eval_length, ("__import__('os').system('whoami')", None) ``` ### Impact - Arbitrary code execution on the victim machine once they load the “scanned as safe” pickle / model file. - Affects any workflow relying on Picklescan to vet untrusted pickle / PyTorch artifacts. - Enables supply‑chain poisoning of shared model files. ### Credits - [ac0d3r](https://github.com/ac0d3r) - [Tong Liu](https://lyutoon.github.io), Institute of information engineering, CAS

06

auch bekannt als (5)

Weitere Namen und Kennungen dieser Entität.

07

quellen

Welche Quellen diesen Datensatz belegen und wann.

veröffentlicht 2026-06-22geändert 2026-06-23
08

Referenzen (6)

Externe Belege — Patches, Meldungen, Analysen.

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