CVE-2024-41112 (GCVE-0-2024-41112)
Vulnerability from cvelistv5 β Published: 2024-07-26 20:01 β Updated: 2024-08-02 04:46
VLAI
EPSS
VEX
Title
Remote code execution in streamlit geospatial in pages/1_π·_Timelapse.py Any Earth Engine ImageCollection option palette
Summary
streamlit-geospatial is a streamlit multipage app for geospatial applications. Prior to commit c4f81d9616d40c60584e36abb15300853a66e489, the palette variable in `pages/1_π·_Timelapse.py` takes user input, which is later used in the `eval()` function on line 380, leading to remote code execution. Commit c4f81d9616d40c60584e36abb15300853a66e489 fixes this issue.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator Β· CISA-ADP (v2.0.3)
Decision recorded 2024-07-28 13:43 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://securitylab.github.com/advisories/GHSL-20β¦ | x_refsource_CONFIRM |
| https://github.com/opengeos/streamlit-geospatial/β¦ | x_refsource_MISC |
| https://github.com/opengeos/streamlit-geospatial/β¦ | x_refsource_MISC |
| https://github.com/opengeos/streamlit-geospatial/β¦ | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| opengeos | streamlit-geospatial |
Affected:
< c4f81d9616d40c60584e36abb15300853a66e489
|
guessed | |
| opengeos | streamlit-geospatial |
Affected:
0 , < c4f81d9616d40c60584e36abb15300853a66e489
(custom)
cpe:2.3:a:opengeos:streamlit-geospatial:*:*:*:*:*:*:*:* |
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},
{
"name": "https://github.com/opengeos/streamlit-geospatial/blob/4b89495f3bdd481998aadf1fc74b10de0f71c237/pages/1_%F0%9F%93%B7_Timelapse.py#L380",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/opengeos/streamlit-geospatial/blob/4b89495f3bdd481998aadf1fc74b10de0f71c237/pages/1_%F0%9F%93%B7_Timelapse.py#L380"
}
],
"source": {
"advisory": "GHSA-p8mg-995f-5qgp",
"discovery": "UNKNOWN"
},
"title": "Remote code execution in streamlit geospatial in pages/1_\ud83d\udcf7_Timelapse.py Any Earth Engine ImageCollection option palette"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2024-41112",
"datePublished": "2024-07-26T20:01:37.903Z",
"dateReserved": "2024-07-15T15:53:28.321Z",
"dateUpdated": "2024-08-02T04:46:52.635Z",
"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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