Name: Microsoft Malware Sample
Creator: Kaggle
License: http://opendatacommons.org/licenses/odbl/1.0/

About this Dataset

Microsoft Malware Sample

Source

This dataset contains vectorized byte-files taken from the original dataset of Microsoft Malware Classification Challenge (BIG 2015) competition. Original dataset belongs to http://arxiv.org/abs/1802.10135.
Original Train and Test dataset are ~18GB each. This random sample extracted and vectorized is just ~15MB is size.

How the dataset is sampled?

Randomly equal number of malware byte-files from each class (except Simda) are selcted.
Byte data in hexadecimal characters are then subjected to preprocessing.
Finally preprocessed hex strings are then vectorized using scikit-learn CountVectorizer.

Note: Original dataset contains only 42 byte-files for malware class 5 (Simda).

Tables

Test Vec

@kaggle.dheemanthbhat_microsoft_malware_sample.test_vec

8.11 MB
10,873 rows
258 columns

CREATE TABLE test_vec (
  "id" VARCHAR,
  "bytfsize" BIGINT,
  "n_00" BIGINT  -- 00,
  "n_01" BIGINT  -- 01,
  "n_02" BIGINT  -- 02,
  "n_03" BIGINT  -- 03,
  "n_04" BIGINT  -- 04,
  "n_05" BIGINT  -- 05,
  "n_06" BIGINT  -- 06,
  "n_07" BIGINT  -- 07,
  "n_08" BIGINT  -- 08,
  "n_09" BIGINT  -- 09,
  "n_0a" BIGINT  -- 0a,
  "n_0b" BIGINT  -- 0b,
  "n_0c" BIGINT  -- 0c,
  "n_0d" BIGINT  -- 0d,
  "n_0e" BIGINT  -- 0e,
  "n_0f" BIGINT  -- 0f,
  "n_10" BIGINT  -- 10,
  "n_11" BIGINT  -- 11,
  "n_12" BIGINT  -- 12,
  "n_13" BIGINT  -- 13,
  "n_14" BIGINT  -- 14,
  "n_15" BIGINT  -- 15,
  "n_16" BIGINT  -- 16,
  "n_17" BIGINT  -- 17,
  "n_18" BIGINT  -- 18,
  "n_19" BIGINT  -- 19,
  "n_1a" BIGINT  -- 1a,
  "n_1b" BIGINT  -- 1b,
  "n_1c" BIGINT  -- 1c,
  "n_1d" BIGINT  -- 1d,
  "n_1e" BIGINT  -- 1e,
  "n_1f" BIGINT  -- 1f,
  "n_20" BIGINT  -- 20,
  "n_21" BIGINT  -- 21,
  "n_22" BIGINT  -- 22,
  "n_23" BIGINT  -- 23,
  "n_24" BIGINT  -- 24,
  "n_25" BIGINT  -- 25,
  "n_26" BIGINT  -- 26,
  "n_27" BIGINT  -- 27,
  "n_28" BIGINT  -- 28,
  "n_29" BIGINT  -- 29,
  "n_2a" BIGINT  -- 2a,
  "n_2b" BIGINT  -- 2b,
  "n_2c" BIGINT  -- 2c,
  "n_2d" BIGINT  -- 2d,
  "n_2e" BIGINT  -- 2e,
  "n_2f" BIGINT  -- 2f,
  "n_30" BIGINT  -- 30,
  "n_31" BIGINT  -- 31,
  "n_32" BIGINT  -- 32,
  "n_33" BIGINT  -- 33,
  "n_34" BIGINT  -- 34,
  "n_35" BIGINT  -- 35,
  "n_36" BIGINT  -- 36,
  "n_37" BIGINT  -- 37,
  "n_38" BIGINT  -- 38,
  "n_39" BIGINT  -- 39,
  "n_3a" BIGINT  -- 3a,
  "n_3b" BIGINT  -- 3b,
  "n_3c" BIGINT  -- 3c,
  "n_3d" BIGINT  -- 3d,
  "n_3e" BIGINT  -- 3e,
  "n_3f" BIGINT  -- 3f,
  "n_40" BIGINT  -- 40,
  "n_41" BIGINT  -- 41,
  "n_42" BIGINT  -- 42,
  "n_43" BIGINT  -- 43,
  "n_44" BIGINT  -- 44,
  "n_45" BIGINT  -- 45,
  "n_46" BIGINT  -- 46,
  "n_47" BIGINT  -- 47,
  "n_48" BIGINT  -- 48,
  "n_49" BIGINT  -- 49,
  "n_4a" BIGINT  -- 4a,
  "n_4b" BIGINT  -- 4b,
  "n_4c" BIGINT  -- 4c,
  "n_4d" BIGINT  -- 4d,
  "n_4e" BIGINT  -- 4e,
  "n_4f" BIGINT  -- 4f,
  "n_50" BIGINT  -- 50,
  "n_51" BIGINT  -- 51,
  "n_52" BIGINT  -- 52,
  "n_53" BIGINT  -- 53,
  "n_54" BIGINT  -- 54,
  "n_55" BIGINT  -- 55,
  "n_56" BIGINT  -- 56,
  "n_57" BIGINT  -- 57,
  "n_58" BIGINT  -- 58,
  "n_59" BIGINT  -- 59,
  "n_5a" BIGINT  -- 5a,
  "n_5b" BIGINT  -- 5b,
  "n_5c" BIGINT  -- 5c,
  "n_5d" BIGINT  -- 5d,
  "n_5e" BIGINT  -- 5e,
  "n_5f" BIGINT  -- 5f,
  "n_60" BIGINT  -- 60,
  "n_61" BIGINT  -- 61
);

Trainlabels Bal

@kaggle.dheemanthbhat_microsoft_malware_sample.trainlabels_bal

41.01 kB
1,642 rows
2 columns

CREATE TABLE trainlabels_bal (
  "id" VARCHAR,
  "class" BIGINT
);

Train Vec

@kaggle.dheemanthbhat_microsoft_malware_sample.train_vec

1.91 MB
1,642 rows
259 columns

CREATE TABLE train_vec (
  "id" VARCHAR,
  "bytfsize" BIGINT,
  "n_00" BIGINT  -- 00,
  "n_01" BIGINT  -- 01,
  "n_02" BIGINT  -- 02,
  "n_03" BIGINT  -- 03,
  "n_04" BIGINT  -- 04,
  "n_05" BIGINT  -- 05,
  "n_06" BIGINT  -- 06,
  "n_07" BIGINT  -- 07,
  "n_08" BIGINT  -- 08,
  "n_09" BIGINT  -- 09,
  "n_0a" BIGINT  -- 0a,
  "n_0b" BIGINT  -- 0b,
  "n_0c" BIGINT  -- 0c,
  "n_0d" BIGINT  -- 0d,
  "n_0e" BIGINT  -- 0e,
  "n_0f" BIGINT  -- 0f,
  "n_10" BIGINT  -- 10,
  "n_11" BIGINT  -- 11,
  "n_12" BIGINT  -- 12,
  "n_13" BIGINT  -- 13,
  "n_14" BIGINT  -- 14,
  "n_15" BIGINT  -- 15,
  "n_16" BIGINT  -- 16,
  "n_17" BIGINT  -- 17,
  "n_18" BIGINT  -- 18,
  "n_19" BIGINT  -- 19,
  "n_1a" BIGINT  -- 1a,
  "n_1b" BIGINT  -- 1b,
  "n_1c" BIGINT  -- 1c,
  "n_1d" BIGINT  -- 1d,
  "n_1e" BIGINT  -- 1e,
  "n_1f" BIGINT  -- 1f,
  "n_20" BIGINT  -- 20,
  "n_21" BIGINT  -- 21,
  "n_22" BIGINT  -- 22,
  "n_23" BIGINT  -- 23,
  "n_24" BIGINT  -- 24,
  "n_25" BIGINT  -- 25,
  "n_26" BIGINT  -- 26,
  "n_27" BIGINT  -- 27,
  "n_28" BIGINT  -- 28,
  "n_29" BIGINT  -- 29,
  "n_2a" BIGINT  -- 2a,
  "n_2b" BIGINT  -- 2b,
  "n_2c" BIGINT  -- 2c,
  "n_2d" BIGINT  -- 2d,
  "n_2e" BIGINT  -- 2e,
  "n_2f" BIGINT  -- 2f,
  "n_30" BIGINT  -- 30,
  "n_31" BIGINT  -- 31,
  "n_32" BIGINT  -- 32,
  "n_33" BIGINT  -- 33,
  "n_34" BIGINT  -- 34,
  "n_35" BIGINT  -- 35,
  "n_36" BIGINT  -- 36,
  "n_37" BIGINT  -- 37,
  "n_38" BIGINT  -- 38,
  "n_39" BIGINT  -- 39,
  "n_3a" BIGINT  -- 3a,
  "n_3b" BIGINT  -- 3b,
  "n_3c" BIGINT  -- 3c,
  "n_3d" BIGINT  -- 3d,
  "n_3e" BIGINT  -- 3e,
  "n_3f" BIGINT  -- 3f,
  "n_40" BIGINT  -- 40,
  "n_41" BIGINT  -- 41,
  "n_42" BIGINT  -- 42,
  "n_43" BIGINT  -- 43,
  "n_44" BIGINT  -- 44,
  "n_45" BIGINT  -- 45,
  "n_46" BIGINT  -- 46,
  "n_47" BIGINT  -- 47,
  "n_48" BIGINT  -- 48,
  "n_49" BIGINT  -- 49,
  "n_4a" BIGINT  -- 4a,
  "n_4b" BIGINT  -- 4b,
  "n_4c" BIGINT  -- 4c,
  "n_4d" BIGINT  -- 4d,
  "n_4e" BIGINT  -- 4e,
  "n_4f" BIGINT  -- 4f,
  "n_50" BIGINT  -- 50,
  "n_51" BIGINT  -- 51,
  "n_52" BIGINT  -- 52,
  "n_53" BIGINT  -- 53,
  "n_54" BIGINT  -- 54,
  "n_55" BIGINT  -- 55,
  "n_56" BIGINT  -- 56,
  "n_57" BIGINT  -- 57,
  "n_58" BIGINT  -- 58,
  "n_59" BIGINT  -- 59,
  "n_5a" BIGINT  -- 5a,
  "n_5b" BIGINT  -- 5b,
  "n_5c" BIGINT  -- 5c,
  "n_5d" BIGINT  -- 5d,
  "n_5e" BIGINT  -- 5e,
  "n_5f" BIGINT  -- 5f,
  "n_60" BIGINT  -- 60,
  "n_61" BIGINT  -- 61
);