{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2026-59938", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "state": "PUBLISHED", "assignerShortName": "GitHub_M", "dateReserved": "2026-07-07T18:20:06.127Z", "datePublished": "2026-07-08T17:24:29.959Z", "dateUpdated": "2026-07-09T13:58:17.678Z"}, "containers": {"cna": {"title": "pypdf: Possible large memory usage for wrong image dimensions", "problemTypes": [{"descriptions": [{"cweId": "CWE-789", "lang": "en", "description": "CWE-789: Memory Allocation with Excessive Size Value", "type": "CWE"}]}], "metrics": [{"cvssV4_0": {"attackVector": "NETWORK", "attackComplexity": "LOW", "attackRequirements": "NONE", "privilegesRequired": "NONE", "userInteraction": "NONE", "vulnConfidentialityImpact": "NONE", "vulnIntegrityImpact": "NONE", "vulnAvailabilityImpact": "LOW", "subConfidentialityImpact": "NONE", "subIntegrityImpact": "NONE", "subAvailabilityImpact": "NONE", "baseScore": 6.9, "baseSeverity": "MEDIUM", "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N", "version": "4.0"}}], "references": [{"name": "https://github.com/py-pdf/pypdf/security/advisories/GHSA-5qjq-93h5-hrgp", "tags": ["x_refsource_CONFIRM"], "url": "https://github.com/py-pdf/pypdf/security/advisories/GHSA-5qjq-93h5-hrgp"}, {"name": "https://github.com/py-pdf/pypdf/pull/3888", "tags": ["x_refsource_MISC"], "url": "https://github.com/py-pdf/pypdf/pull/3888"}, {"name": "https://github.com/py-pdf/pypdf/commit/c64583be16b8e8763d8777075f8ecbf382014b7a", "tags": ["x_refsource_MISC"], "url": "https://github.com/py-pdf/pypdf/commit/c64583be16b8e8763d8777075f8ecbf382014b7a"}, {"name": "https://github.com/py-pdf/pypdf/releases/tag/6.14.0", "tags": ["x_refsource_MISC"], "url": "https://github.com/py-pdf/pypdf/releases/tag/6.14.0"}], "affected": [{"vendor": "py-pdf", "product": "pypdf", "versions": [{"version": "< 6.14.0", "status": "affected"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2026-07-08T17:24:29.959Z"}, "descriptions": [{"lang": "en", "value": "pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0."}], "source": {"advisory": "GHSA-5qjq-93h5-hrgp", "discovery": "UNKNOWN"}}, "adp": [{"metrics": [{"other": {"type": "ssvc", "content": {"timestamp": "2026-07-09T13:58:08.413307Z", "id": "CVE-2026-59938", "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": "2026-07-09T13:58:17.678Z"}}]}}

{"dataType": "CVE_RECORD", "containers": {"adp": [{"title": "CISA ADP Vulnrichment", "metrics": [{"other": {"type": "ssvc", "content": {"id": "CVE-2026-59938", "role": "CISA Coordinator", "options": [{"Exploitation": "none"}, {"Automatable": "no"}, {"Technical Impact": "partial"}], "version": "2.0.3", "timestamp": "2026-07-09T13:58:08.413307Z"}}}], "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-07-09T13:58:13.230Z"}}], "cna": {"title": "pypdf: Possible large memory usage for wrong image dimensions", "source": {"advisory": "GHSA-5qjq-93h5-hrgp", "discovery": "UNKNOWN"}, "metrics": [{"cvssV4_0": {"version": "4.0", "baseScore": 6.9, "attackVector": "NETWORK", "baseSeverity": "MEDIUM", "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N", "userInteraction": "NONE", "attackComplexity": "LOW", "attackRequirements": "NONE", "privilegesRequired": "NONE", "subIntegrityImpact": "NONE", "vulnIntegrityImpact": "NONE", "subAvailabilityImpact": "NONE", "vulnAvailabilityImpact": "LOW", "subConfidentialityImpact": "NONE", "vulnConfidentialityImpact": "NONE"}}], "affected": [{"vendor": "py-pdf", "product": "pypdf", "versions": [{"status": "affected", "version": "< 6.14.0"}]}], "references": [{"url": "https://github.com/py-pdf/pypdf/security/advisories/GHSA-5qjq-93h5-hrgp", "name": "https://github.com/py-pdf/pypdf/security/advisories/GHSA-5qjq-93h5-hrgp", "tags": ["x_refsource_CONFIRM"]}, {"url": "https://github.com/py-pdf/pypdf/pull/3888", "name": "https://github.com/py-pdf/pypdf/pull/3888", "tags": ["x_refsource_MISC"]}, {"url": "https://github.com/py-pdf/pypdf/commit/c64583be16b8e8763d8777075f8ecbf382014b7a", "name": "https://github.com/py-pdf/pypdf/commit/c64583be16b8e8763d8777075f8ecbf382014b7a", "tags": ["x_refsource_MISC"]}, {"url": "https://github.com/py-pdf/pypdf/releases/tag/6.14.0", "name": "https://github.com/py-pdf/pypdf/releases/tag/6.14.0", "tags": ["x_refsource_MISC"]}], "descriptions": [{"lang": "en", "value": "pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0."}], "problemTypes": [{"descriptions": [{"lang": "en", "type": "CWE", "cweId": "CWE-789", "description": "CWE-789: Memory Allocation with Excessive Size Value"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2026-07-08T17:24:29.959Z"}}}, "cveMetadata": {"cveId": "CVE-2026-59938", "state": "PUBLISHED", "dateUpdated": "2026-07-09T13:58:17.678Z", "dateReserved": "2026-07-07T18:20:06.127Z", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "datePublished": "2026-07-08T17:24:29.959Z", "assignerShortName": "GitHub_M"}, "dataVersion": "5.2"}

{}

{"bugzilla": {"description": "pypdf: pypdf: Possible large memory usage for wrong image dimensions", "id": "2498171", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2498171"}, "csaw": false, "cvss3": {"cvss3_base_score": "5.3", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L", "status": "draft"}, "cwe": "CWE-770", "details": ["pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0.", "A flaw was found in pypdf, a free and open-source pure-python PDF library. An attacker can exploit this vulnerability by crafting a malicious PDF file with image size values that are significantly larger than the actual embedded image data, causing pypdf to allocate large amounts of memory when processing the file."], "mitigation": {"lang": "en:us", "value": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability."}, "name": "CVE-2026-59938", "package_state": [{"cpe": "cpe:/a:redhat:exploit_intelligence:0", "fix_state": "Fix deferred", "package_name": "exploit-intelligence-tech-preview/vulnerability-analysis-rhel9", "product_name": "Exploit Intelligence"}, {"cpe": "cpe:/a:redhat:openshift_lightspeed", "fix_state": "Fix deferred", "package_name": "openshift-lightspeed/lightspeed-ocp-rag-rhel9", "product_name": "OpenShift Lightspeed"}, {"cpe": "cpe:/a:redhat:openshift_lightspeed", "fix_state": "Fix deferred", "package_name": "openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9", "product_name": "OpenShift Lightspeed"}, {"cpe": "cpe:/a:redhat:ansible_automation_platform:2", "fix_state": "Fix deferred", "package_name": "ansible-automation-platform-25/lightspeed-chatbot-rhel8", "product_name": "Red Hat Ansible Automation Platform 2"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Fix deferred", "package_name": "rhelai3/bootc-cuda-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Fix deferred", "package_name": "rhelai3/bootc-gaudi-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Fix deferred", "package_name": "rhelai3/bootc-rocm-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Fix deferred", "package_name": "rhelai3/disk-image-cuda-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-llama-stack-core-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:quay:3", "fix_state": "Fix deferred", "package_name": "quay/quay-rhel8", "product_name": "Red Hat Quay 3"}, {"cpe": "cpe:/a:redhat:quay:3", "fix_state": "Fix deferred", "package_name": "quay/quay-rhel9", "product_name": "Red Hat Quay 3"}], "public_date": "2026-07-08T17:24:29Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-59938\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-59938\nhttps://github.com/py-pdf/pypdf/commit/c64583be16b8e8763d8777075f8ecbf382014b7a\nhttps://github.com/py-pdf/pypdf/pull/3888\nhttps://github.com/py-pdf/pypdf/releases/tag/6.14.0\nhttps://github.com/py-pdf/pypdf/security/advisories/GHSA-5qjq-93h5-hrgp"], "statement": "Moderate: A flaw in the pypdf library allows an attacker to craft a malicious PDF with oversized image declarations, leading to excessive memory consumption during parsing. This could result in a denial of service on systems processing untrusted PDF files.", "threat_severity": "Moderate"}