Python is everywhere in modern software. From machine learning models to production microservices, your code and your business may depend on Python packages you have not written.
However, in 2025, that trust will pose serious risks.
Every few weeks, you’ll see fresh headings about malicious packages uploaded to the Python Package Index (PYPI). Many people are not detected until they cause actual harm. What is one of the most dangerous recent examples? In December 2024, the attacker quietly compromised the Ultralytics Yolo package, which is widely used in computer vision applications. It was downloaded thousands of times before anyone noticed.
This was not an isolated event. This is the new normal.
Python supply chain attacks are rising rapidly. The following PIP installations can be the weakest link: Join the webinar and learn how to protect your code with confidence, what’s really going on, what’s coming next. Please do not wait for a violation. Watch and control this webinar now.
What is really going on?
Attackers are leveraging weak links in their open source supply chains. They use tricks like this:
Typographical Squeaking: Upload fake packages with names such as requeststs and urlib. Repo Jack: Hijacked abandoned Github repo and linked it to a trusted package. Slop-Squatting: reveal popular mistakes before legal maintainers make a claim.
When a developer installs any of these packages, it’s game over, whether intentionally or not.
And it’s not just a rogue package. Even the official Python container images have serious vulnerabilities. At the time of writing, standard Python-based images have over 100 high and important CVEs. It’s not easy to fix them either. It’s the problem of “My boss told me to fix Ubuntu.” It’s when the app team is inheriting infrastructure issues that no one wants to own.
It’s time to treat Python supply chain security like a first-rate issue
The traditional approach – “PIP Install and Move” – don’t cut it anymore. Whether you’re a developer or a security engineer, you need to visualize and control what you’re pulling, whether you’re running a production system or not.
There’s good news. You can secure a Python environment without breaking the workflow. You need the right tools and a clear playbook.
That’s where this webinar comes in.
In this session, proceed as follows:
Anatomy of modern Python supply chain attacks: What happened in recent Pypi incidents and why they continue to happen. What you can do today: from PIP installation hygiene to using tools like PIP-Audit, Sigstore, SBOMS and more. Behind the Scenes: Sigstore & SLSA: How modern signature and source frameworks change the way code is trusted. How Pypi responds: modern ecosystem-wide changes and what does it mean for packaged consumers? Zero Trust for Python Stack: Use Chainguard containers and Chainguard libraries to get secure CVE free code out of the box.
The threat is smarter. The tools are getting better. But most teams are stuck somewhere along the way. It does not depend on the default image and does not have any validation. I hope that the dependencies will not betray.
You don’t need to be a security expert overnight, but you need a roadmap. Whether you’re early in your journey or have already audited or signed, this session will help you take your Python supply chain to the next level.
Watch this webinar now
Applications are as secure as the weakest imports. It’s time to blindly stop trust and start checking. would you like to join. It will become practical. Keep it safe.
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