picklescan up to 0.0.29 idlelib.run.Executive.runcode deserialization

CVSS Meta Temp Score
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CTI Interest Score
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7.0$0-$5k0.77+

Summaryinfo

A vulnerability classified as critical has been found in picklescan up to 0.0.29. Affected by this issue is the function idlelib.run.Executive.runcode. Performing a manipulation results in deserialization. This vulnerability is cataloged as CVE-2025-71342. It is possible to initiate the attack remotely. There is no exploit available. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability was found in picklescan up to 0.0.29. It has been classified as critical. This affects the function idlelib.run.Executive.runcode. The manipulation with an unknown input leads to a deserialization vulnerability. CWE is classifying the issue as CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.run.Executive.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes during pickle.load, enabling remote code execution in PyTorch models and supply chain attacks.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-71342 since 06/20/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.

Upgrading to version 0.0.30 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-210410). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 7.2
VulDB Meta Temp Score: 7.0

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 8.1
CNA Vector (VulnCheck): 🔒

CVSSv2info

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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Deserialization
CWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: picklescan 0.0.30

Timelineinfo

06/20/2026 CVE reserved
07/04/2026 +14 days Advisory disclosed
07/04/2026 +0 days VulDB entry created
07/04/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: GHSA-m869-42cg-3xwr
Status: Confirmed

CVE: CVE-2025-71342 (🔒)
GCVE (CVE): GCVE-0-2025-71342
GCVE (VulDB): GCVE-100-376179
EUVD: 🔒

Entryinfo

Created: 07/04/2026 05:45
Updated: 07/04/2026 07:48
Changes: 07/04/2026 05:45 (75), 07/04/2026 07:48 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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