Please report privately through GitHub security advisories rather than opening a public issue. That keeps the details between us until there is a fix to point people at.
If you would rather not use GitHub, write to paula.ruiz.rodriguez@csic.es.
Please include what you found, how to reproduce it, and which version and platform you saw it on. If you have a proof of concept, a minimal one is more useful than a complete one.
You can expect an acknowledgement within a week. If the report is valid you will be credited in the advisory unless you ask otherwise.
pathotypr is a command line tool and a desktop application that reads files you give it and, in the desktop app, downloads marker panels and models over HTTPS. The interesting surfaces are therefore:
- Parsing. A crafted FASTA, FASTQ, TSV, GFF or model bundle that causes a crash, an out-of-bounds read, unbounded memory growth, or code execution.
- The model bundle.
predictdeserializes a file produced bytrain. A bundle that does something other than load a model when opened is in scope. - Downloads in the desktop app. Anything that lets a download escape the URL validation or the SSRF guard, write outside the chosen directory, or reach a local or reserved address.
- Paths. Output filenames derived from input data that escape the output directory.
- A wrong scientific call. A marker panel that misclassifies, or a model that predicts badly, is a correctness problem rather than a security one. Please use the Unexpected results form, which asks the questions needed to chase it down.
- Resource use on enormous but well-formed input. Genomics files are large by nature; that a 200 GB FASTQ needs time and memory is expected behaviour.
- Advisories against a dependency that this project cannot reach. These are still worth reporting, and are still fixed, but through a normal issue or pull request rather than a private advisory.
Fixes land on the latest release. There are no long-term support branches, so the answer to "which version is patched" is always the newest one.
Dependency updates arrive monthly and grouped, and GitHub security advisories against a dependency open their own pull request the day they are published, independently of that schedule.