{"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": "2026-11-04T01:45:19.570Z"}, "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"}}, "adp": [{"metrics": [{"other": {"type": "ssvc", "content": {"timestamp": "2026-11-04T01:44:58.307267Z", "id": "CVE-2026-119208", "options": [{"Exploitation": "none"}, {"Automatable": "no"}, {"Technical Impact": "partial"}], "role": "CISA Coordinator", "version": "2.0.3"}}}], "title": "CISA ADP Vulnrichment", "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-11-04T01:45:19.570Z"}}]}}

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