Search criteria
9 vulnerabilities found for medical_open_network_for_ai by monai
FKIE_CVE-2025-58756
Vulnerability from fkie_nvd - Published: 2025-09-09 00:15 - Updated: 2025-09-19 15:26
Severity ?
Summary
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, in `model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)` in monai/bundle/scripts.py , `weights_only=True` is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints. This is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from other platforms. Loading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution. As of time of publication, no known fixed versions are available.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj | Exploit, Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| monai | medical_open_network_for_ai | * |
{
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:*",
"matchCriteriaId": "9410F21F-5E71-4190-97B6-9B2203699F79",
"versionEndIncluding": "1.5.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, in `model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)` in monai/bundle/scripts.py , `weights_only=True` is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints. This is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from other platforms. Loading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution. As of time of publication, no known fixed versions are available."
}
],
"id": "CVE-2025-58756",
"lastModified": "2025-09-19T15:26:29.890",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2025-09-09T00:15:32.457",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-502"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
FKIE_CVE-2025-58755
Vulnerability from fkie_nvd - Published: 2025-09-09 00:15 - Updated: 2025-09-19 15:25
Severity ?
Summary
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. The extractall function `zip_file.extractall(output_dir)` is used directly to process compressed files. It is used in many places in the project. In versions up to and including 1.5.0, when the Zip file containing malicious content is decompressed, it overwrites the system files. In addition, the project allows the download of the zip content through the link, which increases the scope of exploitation of this vulnerability. As of time of publication, no known fixed versions are available.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-x6ww-pf9m-m73m | Exploit, Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| monai | medical_open_network_for_ai | * |
{
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:*",
"matchCriteriaId": "9410F21F-5E71-4190-97B6-9B2203699F79",
"versionEndIncluding": "1.5.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. The extractall function `zip_file.extractall(output_dir)` is used directly to process compressed files. It is used in many places in the project. In versions up to and including 1.5.0, when the Zip file containing malicious content is decompressed, it overwrites the system files. In addition, the project allows the download of the zip content through the link, which increases the scope of exploitation of this vulnerability. As of time of publication, no known fixed versions are available."
}
],
"id": "CVE-2025-58755",
"lastModified": "2025-09-19T15:25:37.963",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2025-09-09T00:15:32.257",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-x6ww-pf9m-m73m"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-22"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
FKIE_CVE-2025-58757
Vulnerability from fkie_nvd - Published: 2025-09-09 00:15 - Updated: 2025-09-19 15:26
Severity ?
Summary
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the `pickle_operations` function in `monai/data/utils.py` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using `pickle.loads()` . This function also lacks any security measures. The deserialization may lead to code execution. As of time of publication, no known fixed versions are available.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm | Exploit, Vendor Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm | Exploit, Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| monai | medical_open_network_for_ai | * |
{
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:*",
"matchCriteriaId": "9410F21F-5E71-4190-97B6-9B2203699F79",
"versionEndIncluding": "1.5.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the `pickle_operations` function in `monai/data/utils.py` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using `pickle.loads()` . This function also lacks any security measures. The deserialization may lead to code execution. As of time of publication, no known fixed versions are available."
}
],
"id": "CVE-2025-58757",
"lastModified": "2025-09-19T15:26:11.050",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2025-09-09T00:15:32.650",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-502"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
CVE-2025-58757 (GCVE-0-2025-58757)
Vulnerability from cvelistv5 – Published: 2025-09-08 23:42 – Updated: 2025-09-09 13:28
VLAI?
Title
MONAI's unsafe use of Pickle deserialization may lead to RCE
Summary
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the `pickle_operations` function in `monai/data/utils.py` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using `pickle.loads()` . This function also lacks any security measures. The deserialization may lead to code execution. As of time of publication, no known fixed versions are available.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
| URL | Tags | ||||
|---|---|---|---|---|---|
|
|||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Project-MONAI | MONAI |
Affected:
<= 1.5.0
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2025-58757",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-09-09T13:12:53.146047Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-09-09T13:28:51.574Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"references": [
{
"tags": [
"exploit"
],
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "MONAI",
"vendor": "Project-MONAI",
"versions": [
{
"status": "affected",
"version": "\u003c= 1.5.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the `pickle_operations` function in `monai/data/utils.py` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using `pickle.loads()` . This function also lacks any security measures. The deserialization may lead to code execution. As of time of publication, no known fixed versions are available."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502: Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-09-08T23:42:33.016Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm"
}
],
"source": {
"advisory": "GHSA-p8cm-mm2v-gwjm",
"discovery": "UNKNOWN"
},
"title": "MONAI\u0027s unsafe use of Pickle deserialization may lead to RCE"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2025-58757",
"datePublished": "2025-09-08T23:42:11.009Z",
"dateReserved": "2025-09-04T19:18:09.500Z",
"dateUpdated": "2025-09-09T13:28:51.574Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2025-58756 (GCVE-0-2025-58756)
Vulnerability from cvelistv5 – Published: 2025-09-08 23:39 – Updated: 2025-09-09 13:28
VLAI?
Title
MONAI's unsafe torch usage may lead to arbitrary code execution
Summary
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, in `model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)` in monai/bundle/scripts.py , `weights_only=True` is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints. This is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from other platforms. Loading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution. As of time of publication, no known fixed versions are available.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
| URL | Tags | ||||
|---|---|---|---|---|---|
|
|||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Project-MONAI | MONAI |
Affected:
<= 1.5.0
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2025-58756",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-09-09T13:13:04.127686Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-09-09T13:28:57.518Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "MONAI",
"vendor": "Project-MONAI",
"versions": [
{
"status": "affected",
"version": "\u003c= 1.5.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, in `model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)` in monai/bundle/scripts.py , `weights_only=True` is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints. This is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from other platforms. Loading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution. As of time of publication, no known fixed versions are available."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502: Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-09-08T23:39:55.508Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj"
}
],
"source": {
"advisory": "GHSA-6vm5-6jv9-rjpj",
"discovery": "UNKNOWN"
},
"title": "MONAI\u0027s unsafe torch usage may lead to arbitrary code execution"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2025-58756",
"datePublished": "2025-09-08T23:39:55.508Z",
"dateReserved": "2025-09-04T19:18:09.499Z",
"dateUpdated": "2025-09-09T13:28:57.518Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2025-58755 (GCVE-0-2025-58755)
Vulnerability from cvelistv5 – Published: 2025-09-08 23:35 – Updated: 2025-09-09 13:29
VLAI?
Title
MONAI has path traversal issue that may lead to arbitrary file writes
Summary
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. The extractall function `zip_file.extractall(output_dir)` is used directly to process compressed files. It is used in many places in the project. In versions up to and including 1.5.0, when the Zip file containing malicious content is decompressed, it overwrites the system files. In addition, the project allows the download of the zip content through the link, which increases the scope of exploitation of this vulnerability. As of time of publication, no known fixed versions are available.
Severity ?
8.8 (High)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
| URL | Tags | ||||
|---|---|---|---|---|---|
|
|||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Project-MONAI | MONAI |
Affected:
<= 1.5.0
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2025-58755",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-09-09T13:13:10.496197Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-09-09T13:29:04.890Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "MONAI",
"vendor": "Project-MONAI",
"versions": [
{
"status": "affected",
"version": "\u003c= 1.5.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. The extractall function `zip_file.extractall(output_dir)` is used directly to process compressed files. It is used in many places in the project. In versions up to and including 1.5.0, when the Zip file containing malicious content is decompressed, it overwrites the system files. In addition, the project allows the download of the zip content through the link, which increases the scope of exploitation of this vulnerability. As of time of publication, no known fixed versions are available."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-22",
"description": "CWE-22: Improper Limitation of a Pathname to a Restricted Directory (\u0027Path Traversal\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-09-08T23:35:41.506Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-x6ww-pf9m-m73m",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-x6ww-pf9m-m73m"
}
],
"source": {
"advisory": "GHSA-x6ww-pf9m-m73m",
"discovery": "UNKNOWN"
},
"title": "MONAI has path traversal issue that may lead to arbitrary file writes"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2025-58755",
"datePublished": "2025-09-08T23:35:41.506Z",
"dateReserved": "2025-09-04T19:18:09.499Z",
"dateUpdated": "2025-09-09T13:29:04.890Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2025-58757 (GCVE-0-2025-58757)
Vulnerability from nvd – Published: 2025-09-08 23:42 – Updated: 2025-09-09 13:28
VLAI?
Title
MONAI's unsafe use of Pickle deserialization may lead to RCE
Summary
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the `pickle_operations` function in `monai/data/utils.py` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using `pickle.loads()` . This function also lacks any security measures. The deserialization may lead to code execution. As of time of publication, no known fixed versions are available.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
| URL | Tags | ||||
|---|---|---|---|---|---|
|
|||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Project-MONAI | MONAI |
Affected:
<= 1.5.0
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2025-58757",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-09-09T13:12:53.146047Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-09-09T13:28:51.574Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"references": [
{
"tags": [
"exploit"
],
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "MONAI",
"vendor": "Project-MONAI",
"versions": [
{
"status": "affected",
"version": "\u003c= 1.5.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the `pickle_operations` function in `monai/data/utils.py` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using `pickle.loads()` . This function also lacks any security measures. The deserialization may lead to code execution. As of time of publication, no known fixed versions are available."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502: Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-09-08T23:42:33.016Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm"
}
],
"source": {
"advisory": "GHSA-p8cm-mm2v-gwjm",
"discovery": "UNKNOWN"
},
"title": "MONAI\u0027s unsafe use of Pickle deserialization may lead to RCE"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2025-58757",
"datePublished": "2025-09-08T23:42:11.009Z",
"dateReserved": "2025-09-04T19:18:09.500Z",
"dateUpdated": "2025-09-09T13:28:51.574Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2025-58756 (GCVE-0-2025-58756)
Vulnerability from nvd – Published: 2025-09-08 23:39 – Updated: 2025-09-09 13:28
VLAI?
Title
MONAI's unsafe torch usage may lead to arbitrary code execution
Summary
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, in `model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)` in monai/bundle/scripts.py , `weights_only=True` is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints. This is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from other platforms. Loading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution. As of time of publication, no known fixed versions are available.
Severity ?
8.8 (High)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
| URL | Tags | ||||
|---|---|---|---|---|---|
|
|||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Project-MONAI | MONAI |
Affected:
<= 1.5.0
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2025-58756",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-09-09T13:13:04.127686Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-09-09T13:28:57.518Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "MONAI",
"vendor": "Project-MONAI",
"versions": [
{
"status": "affected",
"version": "\u003c= 1.5.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, in `model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)` in monai/bundle/scripts.py , `weights_only=True` is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints. This is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from other platforms. Loading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution. As of time of publication, no known fixed versions are available."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502: Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-09-08T23:39:55.508Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj"
}
],
"source": {
"advisory": "GHSA-6vm5-6jv9-rjpj",
"discovery": "UNKNOWN"
},
"title": "MONAI\u0027s unsafe torch usage may lead to arbitrary code execution"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2025-58756",
"datePublished": "2025-09-08T23:39:55.508Z",
"dateReserved": "2025-09-04T19:18:09.499Z",
"dateUpdated": "2025-09-09T13:28:57.518Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2025-58755 (GCVE-0-2025-58755)
Vulnerability from nvd – Published: 2025-09-08 23:35 – Updated: 2025-09-09 13:29
VLAI?
Title
MONAI has path traversal issue that may lead to arbitrary file writes
Summary
MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. The extractall function `zip_file.extractall(output_dir)` is used directly to process compressed files. It is used in many places in the project. In versions up to and including 1.5.0, when the Zip file containing malicious content is decompressed, it overwrites the system files. In addition, the project allows the download of the zip content through the link, which increases the scope of exploitation of this vulnerability. As of time of publication, no known fixed versions are available.
Severity ?
8.8 (High)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
| URL | Tags | ||||
|---|---|---|---|---|---|
|
|||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Project-MONAI | MONAI |
Affected:
<= 1.5.0
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2025-58755",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-09-09T13:13:10.496197Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-09-09T13:29:04.890Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "MONAI",
"vendor": "Project-MONAI",
"versions": [
{
"status": "affected",
"version": "\u003c= 1.5.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. The extractall function `zip_file.extractall(output_dir)` is used directly to process compressed files. It is used in many places in the project. In versions up to and including 1.5.0, when the Zip file containing malicious content is decompressed, it overwrites the system files. In addition, the project allows the download of the zip content through the link, which increases the scope of exploitation of this vulnerability. As of time of publication, no known fixed versions are available."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-22",
"description": "CWE-22: Improper Limitation of a Pathname to a Restricted Directory (\u0027Path Traversal\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-09-08T23:35:41.506Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-x6ww-pf9m-m73m",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-x6ww-pf9m-m73m"
}
],
"source": {
"advisory": "GHSA-x6ww-pf9m-m73m",
"discovery": "UNKNOWN"
},
"title": "MONAI has path traversal issue that may lead to arbitrary file writes"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2025-58755",
"datePublished": "2025-09-08T23:35:41.506Z",
"dateReserved": "2025-09-04T19:18:09.499Z",
"dateUpdated": "2025-09-09T13:29:04.890Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}