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phishing-datasets

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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'file_name'}) and 39 missing columns ({'hex_pattern_count', 'macro_max_string_literals', 'macro_line_count', 'macro_callbyname_count', 'macro_comment_lines', 'protected_sheets_count', 'merged_cells_count', 'base64_pattern_count', 'macro_max_arithmetic_ops', 'total_cells', 'macro_procedure_count', 'empty_sheet_count', 'named_ranges_count', 'preview_image_text_entropy', 'uses_file_api', 'macro_string_function_count', 'file_path', 'formula_count', 'has_macro', 'file_size', 'macro_average_line_length', 'macro_max_concat_ops', 'deceptive_keywords_count_ocr', 'macro_count', 'hidden_sheets_count', 'macro_count_assignments', 'non_empty_cells', 'rich_text_formatting_count', 'preview_image_width', 'max_cols', 'macro_count_parentheses', 'sheet_count', 'hyperlink_count', 'ocr_extracted_text_length', 'uses_network_api', 'preview_image_height', 'macro_concatenation_count', 'uses_process_api', 'max_rows'}).

This happened while the csv dataset builder was generating data using

hf://datasets/team12-root-access/phishing-datasets/cic_trap4phish/Excel_Top10_Features.csv (at revision 400ccc0502913bbdf636978d23bc0f71245595ab), ['hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/Excel_All_Features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/Excel_Top10_Features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/HTML_All_Features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/HTML_Top13_Features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/PDF_All_features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/PDF_Top10_features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/Word_All_features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/Word_Top10_Features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/CEAS_08.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/Enron.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/Ling.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/Nazario.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/Nigerian_Fraud.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/SpamAssasin.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/TREC_05.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/TREC_06.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/TREC_07.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/email/sample-3989.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              file_name: string
              entropy_of_text: double
              macro_chr_count: int64
              macro_vocab_size: int64
              macro_arithmetic_operator_count: int64
              macro_token_count: int64
              macro_max_line_length: int64
              remote_template_present: int64
              numeric_cell_count: int64
              string_cell_count: int64
              avg_cell_length: double
              label: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1860
              to
              {'file_path': Value('string'), 'file_size': Value('int64'), 'sheet_count': Value('int64'), 'max_rows': Value('int64'), 'max_cols': Value('int64'), 'total_cells': Value('int64'), 'non_empty_cells': Value('int64'), 'numeric_cell_count': Value('int64'), 'string_cell_count': Value('int64'), 'formula_count': Value('int64'), 'hyperlink_count': Value('int64'), 'avg_cell_length': Value('float64'), 'entropy_of_text': Value('float64'), 'base64_pattern_count': Value('int64'), 'hex_pattern_count': Value('int64'), 'has_macro': Value('int64'), 'remote_template_present': Value('int64'), 'ocr_extracted_text_length': Value('int64'), 'preview_image_text_entropy': Value('int64'), 'deceptive_keywords_count_ocr': Value('int64'), 'macro_line_count': Value('int64'), 'macro_procedure_count': Value('int64'), 'macro_chr_count': Value('int64'), 'macro_string_function_count': Value('int64'), 'macro_arithmetic_operator_count': Value('int64'), 'macro_concatenation_count': Value('int64'), 'macro_callbyname_count': Value('int64'), 'macro_comment_lines': Value('int64'), 'macro_average_line_length': Value('float64'), 'macro_token_count': Value('int64'), 'macro_count': Value('int64'), 'uses_file_api': Value('int64'), 'uses_network_api': Value('int64'), 'uses_process_api': Value('int64'), 'merged_cells_count': Value('int64'), 'hidden_sheets_count': Value('int64'), 'protected_sheets_count': Value('int64'), 'named_ranges_count': Value('int64'), 'empty_sheet_count': Value('int64'), 'rich_text_formatting_count': Value('int64'), 'macro_count_parentheses': Value('int64'), 'macro_count_assignments': Value('int64'), 'macro_max_line_length': Value('int64'), 'macro_max_string_literals': Value('int64'), 'macro_max_arithmetic_ops': Value('int64'), 'macro_max_concat_ops': Value('int64'), 'macro_vocab_size': Value('int64'), 'preview_image_width': Value('int64'), 'preview_image_height': Value('int64'), 'label': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'file_name'}) and 39 missing columns ({'hex_pattern_count', 'macro_max_string_literals', 'macro_line_count', 'macro_callbyname_count', 'macro_comment_lines', 'protected_sheets_count', 'merged_cells_count', 'base64_pattern_count', 'macro_max_arithmetic_ops', 'total_cells', 'macro_procedure_count', 'empty_sheet_count', 'named_ranges_count', 'preview_image_text_entropy', 'uses_file_api', 'macro_string_function_count', 'file_path', 'formula_count', 'has_macro', 'file_size', 'macro_average_line_length', 'macro_max_concat_ops', 'deceptive_keywords_count_ocr', 'macro_count', 'hidden_sheets_count', 'macro_count_assignments', 'non_empty_cells', 'rich_text_formatting_count', 'preview_image_width', 'max_cols', 'macro_count_parentheses', 'sheet_count', 'hyperlink_count', 'ocr_extracted_text_length', 'uses_network_api', 'preview_image_height', 'macro_concatenation_count', 'uses_process_api', 'max_rows'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/team12-root-access/phishing-datasets/cic_trap4phish/Excel_Top10_Features.csv (at revision 400ccc0502913bbdf636978d23bc0f71245595ab), ['hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/Excel_All_Features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/Excel_Top10_Features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/HTML_All_Features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/HTML_Top13_Features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/PDF_All_features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/PDF_Top10_features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/Word_All_features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/cic_trap4phish/Word_Top10_Features.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/CEAS_08.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/Enron.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/Ling.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/Nazario.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/Nigerian_Fraud.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/SpamAssasin.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/TREC_05.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/TREC_06.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/curated/TREC_07.csv', 'hf://datasets/team12-root-access/phishing-datasets@400ccc0502913bbdf636978d23bc0f71245595ab/email/sample-3989.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

file_path
string
file_size
int64
sheet_count
int64
max_rows
int64
max_cols
int64
total_cells
int64
non_empty_cells
int64
numeric_cell_count
int64
string_cell_count
int64
formula_count
int64
hyperlink_count
int64
avg_cell_length
float64
entropy_of_text
float64
base64_pattern_count
int64
hex_pattern_count
int64
has_macro
int64
remote_template_present
int64
ocr_extracted_text_length
int64
preview_image_text_entropy
int64
deceptive_keywords_count_ocr
int64
macro_line_count
int64
macro_procedure_count
int64
macro_chr_count
int64
macro_string_function_count
int64
macro_arithmetic_operator_count
int64
macro_concatenation_count
int64
macro_callbyname_count
int64
macro_comment_lines
int64
macro_average_line_length
float64
macro_token_count
int64
macro_count
int64
uses_file_api
int64
uses_network_api
int64
uses_process_api
int64
merged_cells_count
int64
hidden_sheets_count
int64
protected_sheets_count
int64
named_ranges_count
int64
empty_sheet_count
int64
rich_text_formatting_count
int64
macro_count_parentheses
int64
macro_count_assignments
int64
macro_max_line_length
int64
macro_max_string_literals
int64
macro_max_arithmetic_ops
int64
macro_max_concat_ops
int64
macro_vocab_size
int64
preview_image_width
int64
preview_image_height
int64
label
int64
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End of preview.

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Check out the documentation for more information.

Due to the constant use of this repository by multi-billion dollar corporations that have never contributed, coupled with the significant maintenance effort, this is the last public commit of Phishing_Pot. New updates will only be shared with individual researchers. Total number of samples, including private ones: 10362.

Phishing Pot

rf-peixoto - Phishing Pot stars - Phishing Pot forks - Phishing Pot

Phishing Pot is a collection of real phishing samples collected via honey pots. The purpose of this repository is to provide a reliable database for researchers and developers of detection solutions. Pentesters and Red Teamers: This is not a repository of phishing templates!

Contribute

You can contribute samples to this repository, however, remember to anonymize the files hiding information that could identify the address of your Honey Pot. All sensitive information should be replaced with phishing@pot. Sometimes the email address is contained within the content, either in the body of the message or in malicious URL arguments. Be sure to check these fields. If the content is encoded in base64, decode it, change the necessary values, re-encode it in base64 (respecting the indentation). You can use the command below to remove the original addresses of all files in a directory:

sed -i 's/your@email.com/phishing@pot/' *.eml

Also, follow the filename convention. You can send phishing messages to phish.me.again@gmail.com so that they are indexed too. But please, be a normal human being and send samples in eml format. .msg, .pst or similar files will be rejected.

FAQ

An email from my company was cataloged as phishing in this repository.

  • Your website or platform allows users to register any email and there is no validation.
  • Your marketing team is using leaked email lists and sending spam.
  • Your servers are not configured correctly and allow attackers to carry out email spoofing attacks.

Can I integrate this repository into my feeds?

See LICENSE
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