
Security News
The Hidden Blast Radius of the Axios Compromise
The Axios compromise shows how time-dependent dependency resolution makes exposure harder to detect and contain.
steg
Advanced tools
Steg is a simple python library for hiding and extracting messages from losslessly compressed images using least-significant-bit (LSB) steganography.
Steg is a simple python library for hiding and extracting messages from losslessly compressed images using least-significant-bit (LSB) steganography. Current supported image formats include PNG, TIFF, BMP, and ICO. Steg also includes a command line tool for quick hiding and extraction.
$ pip install steg
# Import library
from steg import steg_img
# Hiding
# Select your payload and carrier files
s = steg_img.IMG(payload_path=<payload path>, image_path=<carrier path>)
# Create a new image containing your payload
s.hide()
# Extracting
# Select the carrier image
s_prime = steg_img.IMG(image_path=<path of containing hidden payload>)
# Extract the payload
s_prime.extract()
$ steg -c <your image file> -p <your payload>$ steg -c <your image file>FAQs
Steg is a simple python library for hiding and extracting messages from losslessly compressed images using least-significant-bit (LSB) steganography.
We found that steg 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.

Security News
The Axios compromise shows how time-dependent dependency resolution makes exposure harder to detect and contain.

Research
A supply chain attack on Axios introduced a malicious dependency, plain-crypto-js@4.2.1, published minutes earlier and absent from the project’s GitHub releases.

Research
Malicious versions of the Telnyx Python SDK on PyPI delivered credential-stealing malware via a multi-stage supply chain attack.