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4 vulnerabilities found for sagemaker-python-sdk by aws
CVE-2024-34073 (GCVE-0-2024-34073)
Vulnerability from nvd – Published: 2024-05-03 10:11 – Updated: 2024-08-02 02:42
VLAI
Title
Command Injection in sagemaker-python-sdk
Summary
sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. In affected versions the capture_dependencies function in `sagemaker.serve.save_retrive.version_1_0_0.save.utils` module allows for potentially unsafe Operating System (OS) Command Injection if inappropriate command is passed as the “requirements_path” parameter. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. This issue has been addressed in version 2.214.3. Users are advised to upgrade. Users unable to upgrade should not override the “requirements_path” parameter of capture_dependencies function in `sagemaker.serve.save_retrive.version_1_0_0.save.utils`, and instead use the default value.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/aws/sagemaker-python-sdk/secur… | x_refsource_CONFIRM |
| https://github.com/aws/sagemaker-python-sdk/pull/4556 | x_refsource_MISC |
| https://github.com/aws/sagemaker-python-sdk/commi… | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| aws | sagemaker-python-sdk |
Affected:
< 2.214.3
|
|
| aws | sagemaker-python-sdk |
Affected:
0 , < 2.214.3
(custom)
cpe:2.3:a:aws:sagemaker-python-sdk:-:*:*:*:*:*:*:* |
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},
"title": "CISA ADP Vulnrichment"
},
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}
],
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CVE-2024-34072 (GCVE-0-2024-34072)
Vulnerability from nvd – Published: 2024-05-03 10:13 – Updated: 2024-08-02 02:42
VLAI
Title
Deserialization of Untrusted Data in sagemaker-python-sdk
Summary
sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. The sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. Users are advised to upgrade to version 2.218.0. Users unable to upgrade should not pass pickled numpy object arrays which originated from an untrusted source, or that could have been tampered with. Only pass pickled numpy object arrays from trusted sources.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/aws/sagemaker-python-sdk/secur… | x_refsource_CONFIRM |
| https://github.com/aws/sagemaker-python-sdk/pull/4557 | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| aws | sagemaker-python-sdk |
Affected:
< 2.218.0
|
|
| aws | sagemaker-python-sdk |
Affected:
- , < 2.218.0
(custom)
cpe:2.3:a:aws:sagemaker-python-sdk:-:*:*:*:*:*:*:* |
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}
],
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CVE-2024-34072 (GCVE-0-2024-34072)
Vulnerability from cvelistv5 – Published: 2024-05-03 10:13 – Updated: 2024-08-02 02:42
VLAI
Title
Deserialization of Untrusted Data in sagemaker-python-sdk
Summary
sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. The sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. Users are advised to upgrade to version 2.218.0. Users unable to upgrade should not pass pickled numpy object arrays which originated from an untrusted source, or that could have been tampered with. Only pass pickled numpy object arrays from trusted sources.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/aws/sagemaker-python-sdk/secur… | x_refsource_CONFIRM |
| https://github.com/aws/sagemaker-python-sdk/pull/4557 | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| aws | sagemaker-python-sdk |
Affected:
< 2.218.0
|
|
| aws | sagemaker-python-sdk |
Affected:
- , < 2.218.0
(custom)
cpe:2.3:a:aws:sagemaker-python-sdk:-:*:*:*:*:*:*:* |
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}
],
"metrics": [
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CVE-2024-34073 (GCVE-0-2024-34073)
Vulnerability from cvelistv5 – Published: 2024-05-03 10:11 – Updated: 2024-08-02 02:42
VLAI
Title
Command Injection in sagemaker-python-sdk
Summary
sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. In affected versions the capture_dependencies function in `sagemaker.serve.save_retrive.version_1_0_0.save.utils` module allows for potentially unsafe Operating System (OS) Command Injection if inappropriate command is passed as the “requirements_path” parameter. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. This issue has been addressed in version 2.214.3. Users are advised to upgrade. Users unable to upgrade should not override the “requirements_path” parameter of capture_dependencies function in `sagemaker.serve.save_retrive.version_1_0_0.save.utils`, and instead use the default value.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/aws/sagemaker-python-sdk/secur… | x_refsource_CONFIRM |
| https://github.com/aws/sagemaker-python-sdk/pull/4556 | x_refsource_MISC |
| https://github.com/aws/sagemaker-python-sdk/commi… | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| aws | sagemaker-python-sdk |
Affected:
< 2.214.3
|
|
| aws | sagemaker-python-sdk |
Affected:
0 , < 2.214.3
(custom)
cpe:2.3:a:aws:sagemaker-python-sdk:-:*:*:*:*:*:*:* |
{
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{
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{
"Technical Impact": "total"
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],
"role": "CISA Coordinator",
"timestamp": "2024-05-03T14:52:50.210376Z",
"version": "2.0.3"
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}
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"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
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"title": "CISA ADP Vulnrichment"
},
{
"providerMetadata": {
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{
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"url": "https://github.com/aws/sagemaker-python-sdk/commit/2d873d53f708ea570fc2e2a6974f8c3097fe9df5"
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],
"title": "CVE Program Container"
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{
"product": "sagemaker-python-sdk",
"vendor": "aws",
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{
"status": "affected",
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"baseScore": 7.8,
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
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{
"descriptions": [
{
"cweId": "CWE-78",
"description": "CWE-78: Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)",
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"source": {
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"discovery": "UNKNOWN"
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"title": "Command Injection in sagemaker-python-sdk"
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"dateReserved": "2024-04-30T06:56:33.382Z",
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