Yes, python.org is safe: it is the official website of the Python Software Foundation and the authoritative source for the CPython interpreter, documentation, and installers. The question people are usually really asking is broader than the website itself — they want to know whether downloading and installing Python, and the packages that come with it, exposes them to risk. The honest answer is that the site is trustworthy, and the risk you should actually worry about lives one step downstream, in the package ecosystem.
Let me separate the two, because conflating them leads people to either false comfort or misplaced fear.
The website is legitimate
python.org is operated by the Python Software Foundation (PSF), the non-profit that stewards the language. Installers downloaded from it are the genuine article. The site serves over HTTPS, and the Windows and macOS installers published there are the reference distribution.
If you are on the official site, you are fine. The common ways people end up in trouble are not python.org's fault:
- Clicking a search-ad or a link in an email that leads to a lookalike domain instead of typing python.org directly.
- Downloading Python from a third-party "download portal" that wraps the installer with adware.
- Following a tutorial that links to an outdated or mirrored copy.
The fix is boring and effective: navigate to python.org yourself, do not click download links from emails, and prefer your operating system's package manager or the official installer.
Verifying the installer you downloaded
Even from the right site, verifying integrity is good hygiene. Each release on python.org publishes checksums, and signed releases can be verified. On the download page you will find the expected hash for each file.
# Compare the hash of your download against the one published on python.org
shasum -a 256 python-3.x.x-macos.pkg
# or on Windows PowerShell:
Get-FileHash python-3.x.x-amd64.exe -Algorithm SHA256
If the hash matches what the site lists, the file was not tampered with in transit. This takes ten seconds and rules out a whole class of man-in-the-middle and mirror-corruption problems.
The real risk: PyPI and typosquatting
Here is where the meaningful danger lives. The moment you run pip install, you are no longer pulling from python.org — you are pulling from the Python Package Index (PyPI), a separate service that hosts community-published packages. PyPI is also run by the PSF and is legitimate infrastructure, but anyone can publish to it, and that openness is the attack surface.
The dominant threat is typosquatting: attackers publish malicious packages with names that closely resemble popular ones, betting on your typo. Security researchers have repeatedly documented campaigns of hundreds of malicious packages at once. The variations are devious — a doubled letter (requestss for requests), a swapped digit (request5), or a plausible-sounding alternative name (pandas-sdk for pandas). Install one and it can exfiltrate environment variables, drop malware, or steal credentials during setup.
So the accurate framing is: python.org is safe, and pip is a firehose you must aim carefully. The interpreter is trustworthy; the third-party code you feed it is where scrutiny belongs.
How to install packages safely
A few practices cut the typosquatting risk to near zero:
Pin and hash your dependencies. A requirements.txt with pinned versions and hashes makes pip refuse anything whose content does not match what you expect.
# requirements.txt with hash pinning
requests==2.32.3 \
--hash=sha256:<expected-hash-here>
pip install --require-hashes -r requirements.txt
Double-check the name before you type it. Confirm the exact package name from the project's official documentation or its verified repository, not from memory or an autocomplete suggestion.
Use a lockfile-based tool. Poetry, pipenv, or uv resolve and lock the full dependency graph, which makes accidental substitutions far less likely than raw pip install some-name.
Scan your dependency tree. Because a legitimate package can also carry a vulnerable transitive dependency, a scanner that maps your resolved graph against known CVEs catches exposure you cannot see by eye. Our SCA product does this transitively, and the concept is covered more broadly in our dependency scanner guide.
Beyond typosquatting: other supply-chain risks
Typosquatting is the loudest threat but not the only one. Watch for:
- Dependency confusion, where an attacker publishes a public package matching the name of one of your private internal packages, hoping your resolver grabs the public one.
- Compromised maintainer accounts, where a legitimate package is hijacked and a malicious version is pushed. This is why pinning and reviewing update diffs matters.
- Abandoned packages that stop receiving security patches while you keep depending on them.
None of these are reasons to distrust python.org. They are reasons to treat every third-party dependency as untrusted code until you have verified it. The interpreter is the safe part; your dependency choices are the part you own.
FAQ
Is downloading Python from python.org safe?
Yes. python.org is the official Python Software Foundation site and the authoritative source for Python installers. Verify the published checksum after downloading, and always type the address yourself rather than following links from emails or ads.
Is pip install safe?
pip itself is safe, but it installs from PyPI, where anyone can publish. The risk is installing a malicious or typosquatted package by mistake. Pin versions, use hash checking, verify package names against official docs, and scan your dependency tree.
What is PyPI and is it the same as python.org?
No. python.org is the language's official website and installer source. PyPI (the Python Package Index) is a separate PSF-run service hosting community packages that pip downloads. Both are legitimate, but PyPI's open publishing model is where supply-chain risk concentrates.
How do I avoid typosquatted Python packages?
Copy the exact package name from the project's official documentation, pin versions with hashes in your requirements file, use a lockfile-based tool like Poetry or uv, and run a dependency scanner that flags known-malicious or vulnerable packages.