defaultSmartSelectColumns
sequence
tableSource
dict
tableType
string
processOrder
null
dataSourceId
string
rootTable
null
maxEpochs
int64
referredByForeignKeys
sequence
referringToForeignKeys
sequence
generationSize
int64
dataTargetId
string
modelSize
string
distanceFromRoot
null
columns
list
name
string
maxSequenceLength
int64
order
int64
contextTable
null
sort
null
maxSampleSize
int64
trainingGoal
string
rows
int64
generationMethod
string
trainingBatchSize
null
catalogId
string
id
string
sequenceCroppingMode
string
subjectPriority
null
[]
{ "basePath": "/data/uploads", "fileType": "PARQUET", "relativeTablePath": "/1fd40a45-0dd3-4a53-a8ce-4fee4a462869/Sample" }
TABLE
null
UPLOAD
null
100
[]
[]
2,133
DOWNLOAD
M
null
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"id": "2c68146e-bd16-4bee-b6ab-fc2d59a3594d", "include": true, "name": "Param count", "order": 11, "originColumn": null, "originTable": null, "rawDataType": "int64[pyarrow]", "rebalancingDistribution": [], "source": "DATA_SOURCE" }, { "denormalizedColumn": null, "enableImputation": false, "generationMethod": "SYNTHETIC_DATA", "generationMood": "REPRESENTATIVE", "generationParameters": { "primaryKeyId": null, "smartSelect": null, "syntheticData": { "enableConsistencyCorrection": false, "encodingType": "CATEGORICAL", "mockData": null, "rareCategoryReplacement": "CONSTANT", "usedEncodingType": null } }, "id": "0a27ebc4-ec81-4255-b431-1e0d96af65eb", "include": true, "name": "Param names", "order": 12, "originColumn": null, "originTable": null, "rawDataType": "string[pyarrow]", "rebalancingDistribution": [], "source": "DATA_SOURCE" }, { "denormalizedColumn": null, "enableImputation": false, "generationMethod": "SYNTHETIC_DATA", "generationMood": "REPRESENTATIVE", "generationParameters": { 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"mockData": null, "rareCategoryReplacement": "CONSTANT", "usedEncodingType": null } }, "id": "969ba4fd-880a-495d-93c3-33aff4e1b184", "include": true, "name": "Request", "order": 21, "originColumn": null, "originTable": null, "rawDataType": "string[pyarrow]", "rebalancingDistribution": [], "source": "DATA_SOURCE" }, { "denormalizedColumn": null, "enableImputation": false, "generationMethod": "SYNTHETIC_DATA", "generationMood": "REPRESENTATIVE", "generationParameters": { "primaryKeyId": null, "smartSelect": null, "syntheticData": { "enableConsistencyCorrection": false, "encodingType": "CATEGORICAL", "mockData": null, "rareCategoryReplacement": "CONSTANT", "usedEncodingType": null } }, "id": "1405b672-c154-498d-9504-8f0be7b12178", "include": true, "name": "Response", "order": 22, "originColumn": null, "originTable": null, "rawDataType": "string[pyarrow]", "rebalancingDistribution": [], "source": "DATA_SOURCE" } ]
Sample
100
0
null
null
2,133
ACCURACY
2,133
SUBJECT
null
046e943b-5115-4295-85c5-40b5b0bf0b53
d69b2ce3-7968-4246-b837-aa4e12d364de
CUT
null

Dataset Card for Dataset Name

This dataset card aims to be a base template for owasp web attacks. It has been generated using this raw template.

Dataset Details

Dataset Description

This dataset was generated using commonly available payloads, Its generated using intruder of burpsuite and tried against vulnerable site publicly available data.

  • Curated by: vignesh,Nagendran
  • License: GNU

Dataset Sources [optional]

Uses

Incase of future owasp based automations and trainings.

Direct Use

Web Application pentest [More Information Needed]

Out-of-Scope Use

[More Information Needed]

Dataset Structure

Its pure intruder traffic, We have just fuzzed with commonly available payloads and created this dataset

Dataset Card Authors [optional]

Vignesh,Nagendran GS

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