Dear developers of the project(mpi4py),
We are software security researchers, currently conducting research on secret detection and leakage risk within the open-source ecosystem.
In our analysis, we identified potential secret leakage risks in your project, mpi4py.
We provide the detail of our findings in the attachment, which allows you to locate the potential leaked secrets. Below is an interpretation of the attached data:
{ 'file': '', #The file containing the secret
#The project name, version or commit_hash may be reflected in the file path
'line_start': 1, #location: Start line of the secret
'line_end': 28, #location: End line of the secret
'col_start': 1, #location: Start column of the secret
'col_end': 1, #location: End column of the secret
'index_start': 0, #location: Start index of the secret
'index_end': 1675, #location: End index of the secret
......and smoe information about the package_name、version......
}
Declaration: we hereby declare that we have *NOT* conducted any verification test or exploit on the identified secrets. we plan to publish related research papers in the future, and the relevant content MIGHT BE ACCESS TO THE PUBLIC due to the 90-day disclosure policy.
Some advise:
1. If the leaked secret is sensitive and still valid, invalid and rotate the secret immediately.
2. Some secrets seem to be used only in testing environment. Although probably harmless, it is considered bad practices to include secrets for test environment in release builds.
Best regards,
Sadly, an obvious result of "publish or perish" incentives. I routinely get this kind of garbage for the projects I maintain, too.
Maybe we should talk to Jiawei Zhou's supervisor and explain the kind of damage he is doing to the reputation of Southeast University.
Hi Lisandro,
Thanks a lot for having posted this information.
Very useful to be aware of those scanning techniques that can blindly affect the reputation of projects.
Best,
yves revaz
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