{"dataType":"CVE_RECORD","dataVersion":"5.2","cveMetadata":{"cveId":"CVE-2026-119208","assignerOrgId":"a0819718-46f1-4df5-94e2-005712e83aaa","state":"PUBLISHED","assignerShortName":"GitHub_M","dateReserved":"2026-10-29T16:04:48.729Z","datePublished":"2026-10-29T20:41:02.879Z","dateUpdated":"2026-10-29T20:41:02.879Z"},"containers":{"cna":{"title":"pypdf: Possible long runtimes/large memory usage for encrypted PDF files","problemTypes":[{"descriptions":[{"cweId":"CWE-400","lang":"en","description":"CWE-400: Uncontrolled Resource Consumption","type":"CWE"}]}],"metrics":[{"cvssV4_0":{"attackVector":"NETWORK","attackComplexity":"LOW","attackRequirements":"NONE","privilegesRequired":"NONE","userInteraction":"PASSIVE","vulnConfidentialityImpact":"NONE","vulnIntegrityImpact":"NONE","vulnAvailabilityImpact":"HIGH","subConfidentialityImpact":"NONE","subIntegrityImpact":"NONE","subAvailabilityImpact":"NONE","baseScore":7.1,"baseSeverity":"HIGH","vectorString":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N","version":"4.0"}}],"references":[{"name":"https://github.com/py-pdf/pypdf/security/advisories/GHSA-62m5-6wh8-28x7","tags":["x_refsource_CONFIRM"],"url":"https://github.com/py-pdf/pypdf/security/advisories/GHSA-62m5-6wh8-28x7"},{"name":"https://github.com/py-pdf/pypdf/pull/4270","tags":["x_refsource_MISC"],"url":"https://github.com/py-pdf/pypdf/pull/4270"},{"name":"https://github.com/py-pdf/pypdf/commit/82b91951dc74496bb3efe6465434f041bb6a5e6b","tags":["x_refsource_MISC"],"url":"https://github.com/py-pdf/pypdf/commit/82b91951dc74496bb3efe6465434f041bb6a5e6b"},{"name":"https://github.com/py-pdf/pypdf/releases/tag/6.21.3","tags":["x_refsource_MISC"],"url":"https://github.com/py-pdf/pypdf/releases/tag/6.21.3"}],"affected":[{"vendor":"py-pdf","product":"pypdf","versions":[{"version":"< 6.21.3","status":"affected"}]}],"providerMetadata":{"orgId":"a0819718-46f1-4df5-94e2-005712e83aaa","shortName":"GitHub_M","dateUpdated":"2026-10-29T20:41:02.879Z"},"descriptions":[{"lang":"en","value":"pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive time and memory when an application accesses the page count of a crafted encrypted PDF whose page tree declares a forged /Count value. Even after successful decryption, page-count retrieval trusts the unvalidated declared count instead of walking the page tree, allowing the attacker-controlled value to drive excessive work and memory use. This issue is fixed in version 6.21.3."}],"source":{"advisory":"GHSA-62m5-6wh8-28x7","discovery":"UNKNOWN"}}}}