picklescan up to 0.0.29 torch.utils.bottleneck.__main__.run_autograd_prof deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.0 | $0-$5k | 0.77+ |
Summary
A vulnerability described as critical has been identified in picklescan up to 0.0.29. Affected by this vulnerability is the function torch.utils.bottleneck.__main__.run_autograd_prof. Such manipulation leads to deserialization.
This vulnerability is listed as CVE-2025-71345. The attack may be performed from remote. There is no available exploit.
Upgrading the affected component is recommended.
Details
A vulnerability was found in picklescan up to 0.0.29 and classified as critical. Affected by this issue is the function torch.utils.bottleneck.__main__.run_autograd_prof. The manipulation with an unknown input leads to a deserialization vulnerability. Using CWE to declare the problem leads to CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. Impacted is confidentiality, integrity, and availability. CVE summarizes:
picklescan before 0.0.30 fails to detect malicious pickle files that invoke torch.utils.bottleneck.__main__.run_autograd_prof function. Attackers can embed undetected code in pickle files that executes during deserialization, enabling remote code execution.
The advisory is available at github.com. This vulnerability is handled as CVE-2025-71345 since 06/20/2026. The exploitation is known to be easy. The attack may be launched remotely. No form of authentication is required for exploitation. Successful exploitation requires user interaction by the victim. Technical details 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-2025-210412). If you want to get best quality of vulnerability data, you may have to visit VulDB.
Product
Name
Version
- 0.0.1
- 0.0.2
- 0.0.3
- 0.0.4
- 0.0.5
- 0.0.6
- 0.0.7
- 0.0.8
- 0.0.9
- 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
- 0.0.20
- 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
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 7.2VulDB 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): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: 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 Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: picklescan 0.0.30
Timeline
06/20/2026 CVE reserved07/04/2026 Advisory disclosed
07/04/2026 VulDB entry created
07/04/2026 VulDB entry last update
Sources
Advisory: GHSA-4whj-rm5r-c2v8Status: Confirmed
CVE: CVE-2025-71345 (🔒)
GCVE (CVE): GCVE-0-2025-71345
GCVE (VulDB): GCVE-100-376178
EUVD: 🔒
Entry
Created: 07/04/2026 05:45Updated: 07/04/2026 07:48
Changes: 07/04/2026 05:45 (75), 07/04/2026 07:48 (1)
Complete: 🔍
Cache ID: 216::103
If you want to get best quality of vulnerability data, you may have to visit VulDB.
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