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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
A better version of sec-edgar-downloader
. Includes an alternative
implementation (a wrapper instead of a fork), to keep compatibility with
new sec-edgar-downloader
releases. This library partially uses
nbdev.
Advantages over sec-edgar-downloader
:
Flexibility in Download Process
Separate Metadata and File Downloads
More Input Options
AAPL
, 0000320193
) for latest filings.0000320193-23-000077
). Not supported in
sec-edgar-downloader
.https://www.sec.gov/ix?doc=/Archives/edgar/data/0001067983/000119312523272204/d564412d8k.htm
).
Not supported in sec-edgar-downloader
.pip install sec-downloader
Note The company name and email address are used to form a user-agent string that adheres to the SEC EDGAR’s fair access policy for programmatic downloading. Source
from sec_downloader import Downloader
dl = Downloader("MyCompanyName", "email@example.com")
Find a filing with an Accession Number
metadatas = dl.get_filing_metadatas("AAPL/0000320193-23-000077")
print(metadatas)
[FilingMetadata(accession_number='0000320193-23-000077',
form_type='10-Q',
primary_doc_url='https://www.sec.gov/Archives/edgar/data/320193/000032019323000077/aapl-20230701.htm',
items='',
primary_doc_description='10-Q',
filing_date='2023-08-04',
report_date='2023-07-01',
cik='0000320193',
company_name='Apple Inc.',
tickers=[Ticker(symbol='AAPL', exchange='Nasdaq')])]
Alternatively, you can also use any of these to get the same answer:
metadatas = dl.get_filing_metadatas("aapl/000032019323000077")
metadatas = dl.get_filing_metadatas("320193/000032019323000077")
metadatas = dl.get_filing_metadatas("320193/0000320193-23-000077")
metadatas = dl.get_filing_metadatas("0000320193/0000320193-23-000077")
metadatas = dl.get_filing_metadatas(CompanyAndAccessionNumber(ticker_or_cik="320193", accession_number="0000320193-23-000077"))
Find the filing matching a SEC EDGAR Filing URL. Only CIK and Accession Number are used from the URL:
metadatas = dl.get_filing_metadatas(
"https://www.sec.gov/ix?doc=/Archives/edgar/data/0001067983/000119312523272204/d564412d8k.htm"
)
print(metadatas)
[FilingMetadata(accession_number='0001193125-23-272204',
form_type='8-K',
primary_doc_url='https://www.sec.gov/Archives/edgar/data/1067983/000119312523272204/d564412d8k.htm',
items='2.02,9.01',
primary_doc_description='8-K',
filing_date='2023-11-07',
report_date='2023-11-04',
cik='0001067983',
company_name='BERKSHIRE HATHAWAY INC',
tickers=[Ticker(symbol='BRK-B', exchange='NYSE'),
Ticker(symbol='BRK-A', exchange='NYSE')])]
Alternatively, you can also URLs in other formats and get the same answer:
metadatas = dl.get_filing_metadatas("https://www.sec.gov/Archives/edgar/data/1067983/000119312523272204/d564412d8k.htm")
Find latest filings by company ticker or CIK:
from sec_downloader.types import RequestedFilings
metadatas = dl.get_filing_metadatas(
RequestedFilings(ticker_or_cik="MSFT", form_type="10-K", limit=2)
)
print(metadatas)
[FilingMetadata(accession_number='0000950170-23-035122',
form_type='10-K',
primary_doc_url='https://www.sec.gov/Archives/edgar/data/789019/000095017023035122/msft-20230630.htm',
items='',
primary_doc_description='10-K',
filing_date='2023-07-27',
report_date='2023-06-30',
cik='0000789019',
company_name='MICROSOFT CORP',
tickers=[Ticker(symbol='MSFT', exchange='Nasdaq')]),
FilingMetadata(accession_number='0001564590-22-026876',
form_type='10-K',
primary_doc_url='https://www.sec.gov/Archives/edgar/data/789019/000156459022026876/msft-10k_20220630.htm',
items='',
primary_doc_description='10-K',
filing_date='2022-07-28',
report_date='2022-06-30',
cik='0000789019',
company_name='MICROSOFT CORP',
tickers=[Ticker(symbol='MSFT', exchange='Nasdaq')])]
Alternatively, you can also use any of these to get the same answer:
metadatas = dl.get_filing_metadatas("2/msft/10-K")
metadatas = dl.get_filing_metadatas("2/789019/10-K")
metadatas = dl.get_filing_metadatas("2/0000789019/10-K")
The parameters limit
and form_type
are optional. If omitted, limit
defaults to 1, and form_type
defaults to ‘10-Q’.
metadatas = dl.get_filing_metadatas("NFLX")
print(metadatas)
[FilingMetadata(accession_number='0001065280-23-000273',
form_type='10-Q',
primary_doc_url='https://www.sec.gov/Archives/edgar/data/1065280/000106528023000273/nflx-20230930.htm',
items='',
primary_doc_description='10-Q',
filing_date='2023-10-20',
report_date='2023-09-30',
cik='0001065280',
company_name='NETFLIX INC',
tickers=[Ticker(symbol='NFLX', exchange='Nasdaq')])]
Alternatively, you can also use any of these to get the same answer:
metadatas = dl.get_filing_metadatas("nflx")
metadatas = dl.get_filing_metadatas("1/NFLX")
metadatas = dl.get_filing_metadatas("NFLX/10-Q")
metadatas = dl.get_filing_metadatas("1/NFLX/10-Q")
metadatas = dl.get_filing_metadatas(RequestedFilings(ticker_or_cik="NFLX"))
metadatas = dl.get_filing_metadatas(RequestedFilings(limit=1, ticker_or_cik="NFLX", form_type="10-Q"))
After obtaining the Primary Document URL, for example from the metadata, you can proceed to download the HTML using this URL.
for metadata in metadatas:
html = dl.download_filing(url=metadata.primary_doc_url).decode()
print(html[:50])
break # same for all filings, let's just print the first one
'<?xml version="1.0" ?><!--XBRL Document Created wi'
Files are downloaded to a temporary folder, immediately read into memory, and then deleted. Let’s demonstrate how to download a single file (latest 10-Q filing details in HTML format) to memory. The “glob” pattern is used to select which files are read to memory.
from sec_edgar_downloader import Downloader as SecEdgarDownloader
from sec_downloader.download_storage import DownloadStorage
ONLY_HTML = "**/*.htm*"
storage = DownloadStorage(filter_pattern=ONLY_HTML)
with storage as path:
dl = SecEdgarDownloader("MyCompanyName", "email@example.com", path)
dl.get("10-Q", "AAPL", limit=1, download_details=True)
# all files are now deleted and only stored in memory
content = storage.get_file_contents()[0].content
print(f"{content[:50]}...")
"<?xml version='1.0' encoding='ASCII'?>\n<html xmlns..."
Downloading multiple documents:
storage = DownloadStorage()
with storage as path:
dl = SecEdgarDownloader("MyCompanyName", "email@example.com", path)
dl.get("10-K", "GOOG", limit=2)
# all files are now deleted and only stored in memory
for path, content in storage.get_file_contents():
print(f"Path: {path}\nContent [len={len(content)}]: {content[:30]}...\n")
('Path: sec-edgar-filings/GOOG/10-K/0001652044-24-000022/full-submission.txt\n'
'Content [len=13927595]: <SEC-DOCUMENT>0001652044-24-00...\n')
('Path: sec-edgar-filings/GOOG/10-K/0001652044-23-000016/full-submission.txt\n'
'Content [len=15264470]: <SEC-DOCUMENT>0001652044-23-00...\n')
Follow these steps to install the project locally for development:
pip install -e ".[dev]"
.Note We highly recommend using virtual environments for Python development. If you’d like to use virtual environments, follow these steps instead:
- Create a virtual environment
python3 -m venv .venv
- Activate the virtual environment
source .venv/bin/activate
- Install the project with the command
pip install -e ".[dev]"
FAQs
Useful extensions for sec-edgar-downloader.
We found that sec-downloader demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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