There wasn’t a lot of premeditation in choosing the following four systems. At least not for more than a month or two before the IT nazis find your rogue VM and kill it, along with all your hopes and dreams :D. However, in almost two decades of a professional career, I’ve never experienced such an environment. And without dependencies on VPNs, SSH tunnels or cross-geo connectivity. Running on network services and hardware with a steady state configuration. I’m sure that trying all this stuff would be infinitely easier with pristine virtual machines only accessible to me. I don’t know about you, but this mess is the reality of working as a software developer in a large company. Custom docker images, nginx reverse proxies, the works. It’s using both Git and Mercurial repos - yep, they do exist! Plugins that translate between hg and git - yes, people do this as well. There’s at least a dozen separate Python virtual environments. Compilation environments mix gcc and clang. There are web proxies, blocked ports, ssh problems and network issues. It’s using Python 3.7.4 compiled from source. The build executes from an Ubuntu 16.04 virtual machine, but it’s not a clean install. There’s no need to worry about Windows yet, though all of the packaging systems I try do support building for Windows, Mac and Linux - it’s good to keep possibilities open. The final packaged file will run on Docker, which means the images are almost guaranteed to be some Linux derivative. It’s important to understand these because it helps focus problem resolution as you work through it. The EnvironmentĪll projects have constraints, and this is definitely not an exception. The info here may help you push past problems in your own attempts. Note: Please don’t read this as “project x is best” or “solution y sucks”, instead try to learn from the journey. Instead of blindly repeating what I tried last time, I decided to investigate more alternatives and discuss them here. I want to run Python code inside a Docker container, but the container image cannot require a Python installation. Using PyInstaller I built a single binary file that could execute across platforms and looked just like any other application.įast forward until today and I have a similar need, but a different use case. Back then, the goal was to make a desktop interface that included other files and binaries in one bundle. (request your free trial) Computer vulnerabilities alerting service The Vigilance Vulnerability Alerts offer can be used to see fixes.A few years back I researched how to create a single-file executable of a Python application. The trust level is of type confirmed by the editor, with an origin of user shell.Īn attacker with a expert ability can exploit this security threat.įixes for this vulnerability are not yet public.įull bulletin, software filtering, emails, fixes. Our Vigilance Vulnerability Alerts team determined that the severity of this computer threat note is low. This cybersecurity threat impacts software or systems such as Python. Vulnerability of Python Core Windows: code execution via Cmd.exe Search Path Synthesis of the vulnerabilityĪn attacker can use a vulnerability of Python Core Windows, via Cmd.exe Search Path, in order to run code.Īn attacker can use a vulnerability of Python Core Windows, via Cmd.exe Search P.įull bulletin, software filtering, emails, fixes.
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