GSD-2024-21642
Vulnerability from gsd - Updated: 2023-12-29 06:02Details
D-Tale is a visualizer for Pandas data structures. Users hosting versions D-Tale prior to 3.9.0 publicly can be vulnerable to server-side request forgery (SSRF), allowing attackers to access files on the server. Users should upgrade to version 3.9.0, where the `Load From the Web` input is turned off by default. The only workaround for versions earlier than 3.9.0 is to only host D-Tale to trusted users.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"id": "GSD-2024-21642",
"modified": "2023-12-29T06:02:05.086739Z",
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"integrityImpact": "NONE",
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"userInteraction": "NONE",
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"value": "D-Tale es un visualizador de estructuras de datos de Pandas. Los usuarios que alojan p\u00fablicamente versiones de D-Tale anteriores a la 3.9.0 pueden ser vulnerables a server-side request forgery (SSRF), lo que permite a los atacantes acceder a los archivos del servidor. Los usuarios deben actualizar a la versi\u00f3n 3.9.0, donde la entrada \"Cargar desde la Web\" est\u00e1 desactivada de forma predeterminada. La \u00fanico workaround para versiones anteriores a la 3.9.0 es alojar D-Tale \u00fanicamente para usuarios confiables."
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"id": "CVE-2024-21642",
"lastModified": "2024-01-18T20:15:52.813",
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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.
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Vulnerability timeline
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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.