mmaitre314 picklescan up to 0.0.22 torch.load data authenticity
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.5 | $0-$5k | 0.00 |
Summary
A vulnerability was found in mmaitre314 picklescan up to 0.0.22. It has been declared as problematic. The affected element is the function torch.load. Executing a manipulation can lead to data authenticity.
The identification of this vulnerability is CVE-2025-1945. There is no exploit available.
It is recommended to upgrade the affected component.
Details
A vulnerability has been found in mmaitre314 picklescan up to 0.0.22 and classified as problematic. This vulnerability affects the function torch.load. The manipulation with an unknown input leads to a data authenticity vulnerability. The CWE definition for the vulnerability is CWE-345. The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:
picklescan before 0.0.23 fails to detect malicious pickle files inside PyTorch model archives when certain ZIP file flag bits are modified. By flipping specific bits in the ZIP file headers, an attacker can embed malicious pickle files that remain undetected by PickleScan while still being successfully loaded by PyTorch's torch.load(). This can lead to arbitrary code execution when loading a compromised model.
The weakness was shared by Trevor Madge. The advisory is available at sites.google.com. This vulnerability was named CVE-2025-1945 since 03/04/2025. Technical details are known, but there is no available exploit.
Upgrading to version 0.0.23 eliminates this vulnerability.
If you want to get best quality of vulnerability data, you may have to visit VulDB.
Product
Vendor
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
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: 7.6VulDB Meta Temp Score: 7.6
VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Data authenticityCWE: CWE-345
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
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 0.0.23
Timeline
03/04/2025 🔍03/10/2025 🔍
03/10/2025 🔍
12/29/2025 🔍
Sources
Advisory: sites.google.comResearcher: Trevor Madge
Status: Confirmed
CVE: CVE-2025-1945 (🔍)
GCVE (CVE): GCVE-0-2025-1945
GCVE (VulDB): GCVE-100-299074
Entry
Created: 03/10/2025 13:03Updated: 12/29/2025 17:28
Changes: 03/10/2025 13:03 (67), 12/29/2025 17:28 (12)
Complete: 🔍
Committer: sany
Cache ID: 216::103
If you want to get best quality of vulnerability data, you may have to visit VulDB.
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