Vulnerabilites related to mmaitre314 - picklescan
CVE-2025-1944 (GCVE-0-2025-1944)
Vulnerability from cvelistv5
Published
2025-03-10 11:30
Modified
2025-03-10 12:09
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-345 - Insufficient Verification of Data Authenticity
Summary
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.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mmaitre314 | picklescan |
Version: 0.0.1 |
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CVE-2025-1716 (GCVE-0-2025-1716)
Vulnerability from cvelistv5
Published
2025-02-26 14:51
Modified
2025-03-03 15:58
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-184 - Incomplete List of Disallowed Inputs
Summary
picklescan before 0.0.21 does not treat 'pip' as an unsafe global. An attacker could craft a malicious model that uses Pickle to pull in a malicious PyPI package (hosted, for example, on pypi.org or GitHub) via `pip.main()`. Because pip is not a restricted global, the model, when scanned with picklescan, would pass security checks and appear to be safe, when it could instead prove to be problematic.
References
| ► | URL | Tags |
|---|---|---|
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mmaitre314 | picklescan |
Version: 0.0.1 ≤ 0.0.20 |
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CVE-2025-1945 (GCVE-0-2025-1945)
Vulnerability from cvelistv5
Published
2025-03-10 11:43
Modified
2025-03-10 12:05
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-345 - Insufficient Verification of Data Authenticity
Summary
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.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mmaitre314 | picklescan |
Version: 0.0.1 |
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CVE-2025-1889 (GCVE-0-2025-1889)
Vulnerability from cvelistv5
Published
2025-03-03 18:38
Modified
2025-03-04 11:43
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-646 - Reliance on File Name or Extension of Externally-Supplied File
Summary
picklescan before 0.0.22 only considers standard pickle file extensions in the scope for its vulnerability scan. An attacker could craft a malicious model that uses Pickle and include a malicious pickle file with a non-standard file extension. Because the malicious pickle file inclusion is not considered as part of the scope of picklescan, the file would pass security checks and appear to be safe, when it could instead prove to be problematic.
References
| ► | URL | Tags | ||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| mmaitre314 | picklescan |
Version: 0.0.1 ≤ 0.0.21 |
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Vulnerability from fkie_nvd
Published
2025-03-10 12:15
Modified
2025-03-19 16:11
Severity ?
Summary
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.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| mmaitre314 | picklescan | * |
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"lang": "en",
"value": "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\u0027s more forgiving ZIP implementation still allows the model to be loaded, enabling malicious payloads to bypass detection."
},
{
"lang": "es",
"value": "Las versiones anteriores a la versi\u00f3n 0.0.23 de picklescan son vulnerables a un ataque de manipulaci\u00f3n de archivos ZIP que provoca que se bloquee al intentar extraer y escanear archivos de modelos de PyTorch. Al modificar el nombre del archivo en el encabezado ZIP y mantener el nombre del archivo original en la lista de directorios, un atacante puede hacer que PickleScan genere un error BadZipFile. Sin embargo, la implementaci\u00f3n ZIP m\u00e1s indulgente de PyTorch a\u00fan permite cargar el modelo, lo que permite que las cargas maliciosas eludan la detecci\u00f3n."
}
],
"id": "CVE-2025-1944",
"lastModified": "2025-03-19T16:11:29.113",
"metrics": {
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},
{
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},
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}
],
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Vulnerability from fkie_nvd
Published
2025-03-10 12:15
Modified
2025-03-19 16:14
Severity ?
Summary
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.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| mmaitre314 | picklescan | * |
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}
],
"id": "CVE-2025-1945",
"lastModified": "2025-03-19T16:14:37.237",
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}
Vulnerability from fkie_nvd
Published
2025-03-03 19:15
Modified
2025-03-05 20:49
Severity ?
Summary
picklescan before 0.0.22 only considers standard pickle file extensions in the scope for its vulnerability scan. An attacker could craft a malicious model that uses Pickle and include a malicious pickle file with a non-standard file extension. Because the malicious pickle file inclusion is not considered as part of the scope of picklescan, the file would pass security checks and appear to be safe, when it could instead prove to be problematic.
References
| ▶ | URL | Tags | |
|---|---|---|---|
| 103e4ec9-0a87-450b-af77-479448ddef11 | https://github.com/mmaitre314/picklescan/security/advisories/GHSA-655q-fx9r-782v | Third Party Advisory, Exploit | |
| 103e4ec9-0a87-450b-af77-479448ddef11 | https://sites.google.com/sonatype.com/vulnerabilities/cve-2025-1889 | Third Party Advisory, Exploit, Mitigation |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| mmaitre314 | picklescan | * |
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},
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"lang": "es",
"value": "picklescan antes de la versi\u00f3n 0.0.22 solo considera los extensiones est\u00e1ndar de archivos pickle en el \u00e1mbito de su revisi\u00f3n de vulnerabilidades. Un atacante podr\u00eda crear un modelo malicioso que utilice Pickle e incluir un archivo pickle malicioso con una extensi\u00f3n no est\u00e1ndar. Dado que la inclusi\u00f3n de un archivo pickle malicioso no se considera dentro del alcance de picklescan, el archivo pasar\u00eda las comprobaciones de seguridad y aparentar\u00eda ser seguro, cuando en realidad podr\u00eda resultar problem\u00e1tico."
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],
"id": "CVE-2025-1889",
"lastModified": "2025-03-05T20:49:16.457",
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