CVE-2023-36467 (GCVE-0-2023-36467)
Vulnerability from cvelistv5 – Published: 2023-06-28 13:55 – Updated: 2024-11-06 17:17
VLAI
EPSS
VEX
Title
AWS data.all vulnerable to RCE through user injection of Python Commands
Summary
AWS data.all is an open source development framework to help users build a data marketplace on Amazon Web Services. data.all versions 1.2.0 through 1.5.1 do not prevent remote code execution when a user injects Python commands into the ‘Template’ field when configuring a data pipeline. The issue can only be triggered by authenticated users. A fix for this issue is available in data.all version 1.5.2 and later. There is no recommended work around.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-06 17:16 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/awslabs/aws-dataall/security/a… | x_refsource_CONFIRM |
| https://github.com/awslabs/aws-dataall/pull/472 | x_refsource_MISC |
| https://github.com/awslabs/aws-dataall/releases/t… | x_refsource_MISC |
| https://github.com/awslabs/aws-dataall/releases/t… | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| awslabs | aws-dataall |
Affected:
>= 1.2.0, < 1.5.2
|
guessed | |
| amazon | aws-dataall |
Affected:
1.2.0 , < 1.5.2
(custom)
cpe:2.3:a:amazon:aws-dataall:*:*:*:*:*:*:*:* |
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],
"url": "https://github.com/awslabs/aws-dataall/security/advisories/GHSA-m922-chh7-8qcr"
},
{
"name": "https://github.com/awslabs/aws-dataall/pull/472",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/awslabs/aws-dataall/pull/472"
},
{
"name": "https://github.com/awslabs/aws-dataall/releases/tag/v1.5.2",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/awslabs/aws-dataall/releases/tag/v1.5.2"
},
{
"name": "https://github.com/awslabs/aws-dataall/releases/tag/v1.5.4",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/awslabs/aws-dataall/releases/tag/v1.5.4"
}
],
"source": {
"advisory": "GHSA-m922-chh7-8qcr",
"discovery": "UNKNOWN"
},
"title": "AWS data.all vulnerable to RCE through user injection of Python Commands"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2023-36467",
"datePublished": "2023-06-28T13:55:06.163Z",
"dateReserved": "2023-06-21T18:50:41.700Z",
"dateUpdated": "2024-11-06T17:17:18.002Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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