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.
Published 2023-06-30 19:15:09
Updated 2023-07-14 23:15:09
Source GitHub, Inc.
View at NVD,   CVE.org

Products affected by CVE-2023-36810

Exploit prediction scoring system (EPSS) score for CVE-2023-36810

0.13%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 34 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2023-36810

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
6.5
MEDIUM CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
2.8
3.6
NIST
6.2
MEDIUM CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
2.5
3.6
GitHub, Inc.

CWE ids for CVE-2023-36810

  • An algorithm in a product has an inefficient worst-case computational complexity that may be detrimental to system performance and can be triggered by an attacker, typically using crafted manipulations that ensure that the worst case is being reached.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2023-36810

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