5.1

CVE-2026-49460

pypdf: Inefficient decoding of FlateDecode PNG predictor streams

pypdf is a free and open-source pure-python PDF library. Prior to 6.12.2, an attacker who uses this vulnerability can craft a PDF which leads to long runtimes. This requires accessing a stream which uses the /FlateDecode filter with a PNG predictor. This vulnerability is fixed in 6.12.2.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Pypdf Project ≫ Pypdf Version < 6.12.2
Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.12% 0.019
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
nvd@nist.gov 3.3 1.8 1.4
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
security-advisories@github.com 5.1 0 0
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
CWE-407 Inefficient Algorithmic Complexity

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.

https://github.com/py-pdf/pypdf/security/advisories/GHSA-5hgr-hg42-57jg
Patch
Vendor Advisory
https://github.com/py-pdf/pypdf/pull/3806
Patch
Issue Tracking
https://github.com/py-pdf/pypdf/releases/tag/6.12.2
Patch
Release Notes