Описание
PyPDF2 quadratic runtime with malformed PDF missing xref marker
Impact
An attacker who uses this vulnerability can craft a PDF which leads to unexpected long runtime. This quadratic runtime blocks the current process and can utilize a single core of the CPU by 100%. It does not affect memory usage.
Patches
https://github.com/py-pdf/pypdf/pull/808
Workarounds
Is there a way for users to fix or remediate the vulnerability without upgrading?
References
Ссылки
- https://github.com/py-pdf/pypdf/security/advisories/GHSA-jrm6-h9cq-8gqw
- https://nvd.nist.gov/vuln/detail/CVE-2023-36810
- https://github.com/py-pdf/pypdf/issues/582
- https://github.com/py-pdf/pypdf/pull/808
- https://github.com/py-pdf/pypdf/commit/c6c56f550bb384e05f0139c796ba1308837d6373
- https://lists.debian.org/debian-lts-announce/2023/07/msg00019.html
Пакеты
PyPDF2
<= 1.27.8
1.27.9
Связанные уязвимости
pypdf is a pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files. An attacker who uses this vulnerability can craft a PDF which leads to unexpected long runtime. This quadratic runtime blocks the current process and can utilize a single core of the CPU by 100%. It does not affect memory usage. This issue has been addressed in PR 808 and versions from 1.27.9 include this fix. Users are advised to upgrade. There are no known workarounds for this vulnerability.
pypdf is a pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files. An attacker who uses this vulnerability can craft a PDF which leads to unexpected long runtime. This quadratic runtime blocks the current process and can utilize a single core of the CPU by 100%. It does not affect memory usage. This issue has been addressed in PR 808 and versions from 1.27.9 include this fix. Users are advised to upgrade. There are no known workarounds for this vulnerability.
pypdf is a pure-python PDF library capable of splitting, merging, crop ...
Уязвимость библиотеки для обработки PDF PyPDF2, связанная с алгоритмической сложностью, позволяющая нарушителю вызвать отказ в обслуживании