mmaitre314 picklescan up to 0.0.22 ZIP Header data authenticity
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability was found in mmaitre314 picklescan up to 0.0.22. It has been rated as critical. The impacted element is an unknown function of the component ZIP Header Handler. The manipulation leads to data authenticity. This vulnerability is referenced as CVE-2025-1944. Remote exploitation of the attack is possible. No exploit is available. Upgrading the affected component is advised.
Details
A vulnerability was found in mmaitre314 picklescan up to 0.0.22 and classified as critical. This issue affects an unknown function of the component ZIP Header Handler. The manipulation with an unknown input leads to a data authenticity vulnerability. Using CWE to declare the problem leads to CWE-345. The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data. Impacted is integrity, and availability. The summary by CVE is:
picklescan before 0.0.23 is vulnerable to a ZIP archive manipulation attack that causes it to crash when attempting to extract and scan PyTorch model archives. By modifying the filename in the ZIP header while keeping the original filename in the directory listing, an attacker can make PickleScan raise a BadZipFile error. However, PyTorch's more forgiving ZIP implementation still allows the model to be loaded, enabling malicious payloads to bypass detection.
The weakness was published by Trevor Madge as GHSA-7q5r-7gvp-wc82. It is possible to read the advisory at sites.google.com. The identification of this vulnerability is CVE-2025-1944 since 03/04/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available.
Upgrading to version 0.0.23 eliminates this vulnerability. Applying the patch e58e45e0d9e091159c1554f9b04828bbb40b9781 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-7156). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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
License
Website
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: 6.5VulDB Meta Temp Score: 6.3
VulDB Base Score: 6.5
VulDB Temp Score: 6.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CVSSv2
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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: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: picklescan 0.0.23
Patch: e58e45e0d9e091159c1554f9b04828bbb40b9781
Timeline
03/04/2025 🔍03/10/2025 🔍
03/10/2025 🔍
12/29/2025 🔍
Sources
Product: github.comAdvisory: GHSA-7q5r-7gvp-wc82
Researcher: Trevor Madge
Status: Confirmed
CVE: CVE-2025-1944 (🔍)
GCVE (CVE): GCVE-0-2025-1944
GCVE (VulDB): GCVE-100-299075
EUVD: 🔍
Entry
Created: 03/10/2025 14:01Updated: 12/29/2025 17:28
Changes: 03/10/2025 14:01 (70), 12/29/2025 17:17 (1), 12/29/2025 17:28 (11)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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