{"id":"CVE-2026-119209","aliases":["CLSA-2026-1793872631","DEBIAN-CVE-2026-119209","EUVD-2026-113381","GHSA-x3rh-gjgm-fmqc","UBUNTU-CVE-2026-119209","openSUSE-SU-2026:22219-1"],"status":"published","title":"pypdf: Possible large memory usage when parsing cross-reference streams","description":"pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive memory while opening a crafted PDF containing cross-reference streams that declare very large entry counts. Highly compressible streams and /Prev chains can multiply the number of parsed entries across a document, while negative /Index counts can bypass the existing per-stream clamp. This issue is fixed in version 6.21.3.","severity":{"version":"4.0","score":7.1,"vector":"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","level":"high","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-11","score":0.00268,"percentile":0.19151,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-400","CWE-770"],"published":"2026-10-29T20:43:03Z","modified":"2026-11-06T06:00:07Z","fixes":[{"ecosystem":"PyPI","package":"pypdf","fixed_in":["6.21.3"],"sources":["ghsa","osv"]},{"ecosystem":"Debian:14","package":"pypdf","fixed_in":["6.21.4-1"],"sources":["osv"]}],"affected":[{"source":"ghsa","ecosystem":"PyPI","package":"pypdf","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"6.21.3"}]}]},{"source":"osv","ecosystem":"TuxCare:PyPI","package":"pypdf","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"5.9.0"},{"fixed":"5.9.0.post22+tuxcare"}]}],"versions":["5.9.0","5.9.0.post1+tuxcare","5.9.0.post10+tuxcare","5.9.0.post11+tuxcare","5.9.0.post12+tuxcare","5.9.0.post13+tuxcare","5.9.0.post14+tuxcare","5.9.0.post15+tuxcare","5.9.0.post16+tuxcare","5.9.0.post17+tuxcare","5.9.0.post18+tuxcare","5.9.0.post19+tuxcare","5.9.0.post2+tuxcare","5.9.0.post20+tuxcare","5.9.0.post21+tuxcare","5.9.0.post3+tuxcare","5.9.0.post4+tuxcare","5.9.0.post5+tuxcare","5.9.0.post6+tuxcare","5.9.0.post7+tuxcare","5.9.0.post8+tuxcare","5.9.0.post9+tuxcare"],"bundled":6},{"source":"osv","ecosystem":"Debian:12","package":"pypdf","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"}]}],"versions":["3.17.4-1","3.4.1-1","3.4.1-1+deb12u1","4.0.0-1","4.0.0-1~exp1","4.0.1-1","4.0.2-1","4.1.0-1","4.2.0-1","4.3.1-1","5.4.0-1","6.19.0-1","6.21.0-1","6.21.1-1","6.21.4-1","6.9.0-1","6.9.2-1","6.9.2-2"]},{"source":"osv","ecosystem":"Debian:13","package":"pypdf","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"}]}],"versions":["5.4.0-1","6.19.0-1","6.21.0-1","6.21.1-1","6.21.4-1","6.9.0-1","6.9.2-1","6.9.2-2"]},{"source":"osv","ecosystem":"Debian:14","package":"pypdf","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"6.21.4-1"}]}],"versions":["5.4.0-1","6.19.0-1","6.21.0-1","6.21.1-1","6.9.0-1","6.9.2-1","6.9.2-2"]},{"source":"osv","ecosystem":"Debian:12","package":"pypdf2","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"}]}],"versions":["2.12.1-3","2.12.1-3+deb12u1","2.12.1-4"]},{"source":"osv","ecosystem":"PyPI","package":"pypdf","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"6.21.3"}]}],"versions":["1.0","1.1","1.10","1.11","1.12","1.13","1.2","1.3","1.4","1.5","1.6","1.7","1.8","1.9","3.1.0","3.10.0","3.11.0","3.11.1","3.12.0","3.12.1","3.12.2","3.13.0","3.14.0","3.15.0","3.15.1","3.15.2","3.15.3","3.15.4","3.15.5","3.16.0","3.16.1","3.16.2","3.16.3","3.16.4","3.17.0","3.17.1","3.17.2","3.17.3","3.17.4","3.2.0","3.2.1","3.3.0","3.4.0","3.4.1","3.5.0","3.5.1","3.5.2","3.6.0","3.7.0","3.7.1","3.8.0","3.8.1","3.9.0","3.9.1","4.0.0","4.0.1","4.0.2","4.1.0","4.2.0","4.3.0","4.3.1","5.0.0","5.0.1","5.1.0","5.2.0","5.3.0","5.3.1","5.4.0","5.5.0","5.6.0","5.6.1","5.7.0","5.8.0","5.9.0","6.0.0","6.1.0","6.1.1","6.1.2","6.1.3","6.10.0","6.10.1","6.10.2","6.11.0","6.12.0","6.12.1","6.12.2","6.13.0","6.13.1","6.13.2","6.13.3","6.14.0","6.14.1","6.14.2","6.15.0","6.16.0","6.16.1","6.16.2","6.17.0","6.18.0","6.18.1","6.19.0","6.2.0","6.20.0","6.20.1","6.21.0","6.21.1","6.21.2","6.3.0","6.4.0","6.4.1","6.4.2","6.5.0","6.6.0","6.6.1","6.6.2","6.7.0","6.7.1","6.7.2","6.7.3","6.7.4","6.7.5","6.8.0","6.9.0","6.9.1","6.9.2"]},{"source":"osv","ecosystem":"Ubuntu:24.04:LTS","package":"pypdf","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"}]}],"versions":["3.4.1-1","3.17.4-1","4.0.0-1","4.0.1-1","4.0.2-1"]},{"source":"osv","ecosystem":"Ubuntu:26.10","package":"pypdf","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"}]}],"versions":["6.9.2-1","6.9.2-2"]},{"source":"osv","ecosystem":"Ubuntu:26.04:LTS","package":"pypdf","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"}]}],"versions":["5.4.0-1","6.9.2-1"]},{"source":"osv","ecosystem":"openSUSE:Leap 16.0","package":"python-pypdf","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"6.19.0-bp160.3.1"}]}],"bundled":7}],"products":[{"vendor":"py-pdf","product":"pypdf"}],"references":[{"url":"https://github.com/py-pdf/pypdf/security/advisories/GHSA-x3rh-gjgm-fmqc","tags":["x_refsource_CONFIRM","Patch","Vendor Advisory","advisory","web","report"]},{"url":"https://github.com/py-pdf/pypdf/pull/4269","tags":["x_refsource_MISC","Patch","fix","web","report"]},{"url":"https://github.com/py-pdf/pypdf/commit/a93fe3a901fd00af38f0a105c3ba7175fa72dcb4","tags":["x_refsource_MISC","Patch","fix","web","report"]},{"url":"https://github.com/py-pdf/pypdf/releases/tag/6.21.3","tags":["x_refsource_MISC","Release Notes","web","report"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-119209","tags":["advisory"]},{"url":"https://github.com/advisories/GHSA-x3rh-gjgm-fmqc"},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/119xxx/CVE-2026-119209.json","tags":["advisory"]},{"url":"https://security-tracker.debian.org/tracker/CVE-2026-119209","tags":["advisory"]},{"url":"https://github.com/py-pdf/pypdf","tags":["package"]},{"url":"https://ubuntu.com/security/CVE-2026-119209","tags":["report"]},{"url":"https://www.cve.org/CVERecord?id=CVE-2026-119209","tags":["report"]},{"url":"","tags":["advisory"]},{"url":"https://bugzilla.suse.com/1288941","tags":["report"]},{"url":"https://bugzilla.suse.com/1288942","tags":["report"]},{"url":"https://bugzilla.suse.com/1288943","tags":["report"]},{"url":"https://bugzilla.suse.com/1288944","tags":["report"]},{"url":"https://bugzilla.suse.com/1288950","tags":["report"]},{"url":"https://bugzilla.suse.com/1288951","tags":["report"]},{"url":"https://bugzilla.suse.com/1288952","tags":["report"]},{"url":"https://www.suse.com/security/cve/CVE-2026-119203","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2026-119204","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2026-119205","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2026-119206","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2026-119207","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2026-119208","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2026-119209","tags":["web"]}],"sources":{"cve":[{"id":"CVE-2026-119209","title":"pypdf: Possible large memory usage when parsing cross-reference streams","description":"pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive memory while opening a crafted PDF containing cross-reference streams that declare very large entry counts. Highly compressible streams and /Prev chains can multiply the number of parsed entries across a document, while negative /Index counts can bypass the existing per-stream clamp. This issue is fixed in version 6.21.3.","status":"published","published":"2026-10-29T20:43:03.072Z","modified":"2026-10-30T16:00:30.516Z","cvss":[{"version":"4.0","score":7.1,"vector":"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","level":"high","assessor":"cna"}],"cwes":["CWE-400","CWE-770"],"updated_at":"2026-11-02T14:20:10.143031Z"}],"euvd":[{"id":"EUVD-2026-113381","description":"pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive memory while opening a crafted PDF containing cross-reference streams that declare very large entry counts. Highly compressible streams and /Prev chains can multiply the number of parsed entries across a document, while negative /Index counts can bypass the existing per-stream clamp. This issue is fixed in version 6.21.3.","status":"published","published":"2026-10-29T20:43:03Z","modified":"2026-10-30T16:00:30Z","cvss":[{"version":"4.0","score":7.1,"vector":"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","level":"high"}],"updated_at":"2026-11-02T16:59:05.913237Z"}],"ghsa":[{"id":"GHSA-x3rh-gjgm-fmqc","title":"pypdf has possible large memory usage when parsing cross-reference streams","description":"### Impact\n\nAn attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires opening a file with cross-reference streams.\n\n### Patches\n\nThis has been fixed in [pypdf==6.21.3](https://github.com/py-pdf/pypdf/releases/tag/6.21.3).\n\n### Workarounds\n\nIf you cannot upgrade yet, consider applying the changes from PR [#4269](https://github.com/py-pdf/pypdf/pull/4269).","status":"published","published":"2026-10-30T23:07:28Z","modified":"2026-10-30T23:07:30Z","cvss":[{"version":"4.0","score":7.1,"vector":"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","level":"high"}],"cwes":["CWE-400","CWE-770"],"updated_at":"2026-11-02T14:41:42.013329Z"}],"nvd":[{"id":"CVE-2026-119209","description":"pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive memory while opening a crafted PDF containing cross-reference streams that declare very large entry counts. Highly compressible streams and /Prev chains can multiply the number of parsed entries across a document, while negative /Index counts can bypass the existing per-stream clamp. This issue is fixed in version 6.21.3.","status":"published","published":"2026-10-29T21:17:20.23Z","modified":"2026-11-02T16:06:04.477Z","cvss":[{"version":"4.0","score":7.1,"vector":"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/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","level":"high","assessor":"secondary"},{"version":"3.1","score":5.5,"vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","level":"medium","assessor":"primary"}],"cwes":["CWE-400","CWE-770"],"updated_at":"2026-11-02T20:51:43.744908Z"}],"osv":[{"id":"CVE-2026-119209","title":"pypdf: Possible large memory usage when parsing cross-reference streams","description":"pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive memory while opening a crafted PDF containing cross-reference streams that declare very large entry counts. Highly compressible streams and /Prev chains can multiply the number of parsed entries across a document, while negative /Index counts can bypass the existing per-stream clamp. This issue is fixed in version 6.21.3.","status":"published","published":"2026-10-29T20:43:03.072Z","modified":"2026-11-04T17:27:22.304822386Z","cvss":[{"version":"4.0","score":7.1,"vector":"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","level":"high"}],"cwes":["CWE-400","CWE-770"],"updated_at":"2026-11-04T17:42:07.275582Z"},{"id":"DEBIAN-CVE-2026-119209","description":"pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive memory while opening a crafted PDF containing cross-reference streams that declare very large entry counts. Highly compressible streams and /Prev chains can multiply the number of parsed entries across a document, while negative /Index counts can bypass the existing per-stream clamp. This issue is fixed in version 6.21.3.","status":"published","published":"2026-10-29T21:17:20.23Z","modified":"2026-11-06T06:00:07.142899422Z","cvss":[{"version":"3.1","score":5.5,"vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","level":"medium"}],"updated_at":"2026-11-06T06:05:01.531982Z"},{"id":"GHSA-x3rh-gjgm-fmqc","title":"pypdf has possible large memory usage when parsing cross-reference streams","description":"### Impact\n\nAn attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires opening a file with cross-reference streams.\n\n### Patches\n\nThis has been fixed in [pypdf==6.21.3](https://github.com/py-pdf/pypdf/releases/tag/6.21.3).\n\n### Workarounds\n\nIf you cannot upgrade yet, consider applying the changes from PR [#4269](https://github.com/py-pdf/pypdf/pull/4269).","status":"published","published":"2026-10-30T23:07:28Z","modified":"2026-10-30T23:15:04.529631202Z","cvss":[{"version":"4.0","score":7.1,"vector":"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","level":"high"}],"cwes":["CWE-400","CWE-770"],"updated_at":"2026-11-02T15:46:59.484835Z"},{"id":"UBUNTU-CVE-2026-119209","description":"pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive memory while opening a crafted PDF containing cross-reference streams that declare very large entry counts. Highly compressible streams and /Prev chains can multiply the number of parsed entries across a document, while negative /Index counts can bypass the existing per-stream clamp. This issue is fixed in version 6.21.3.","status":"published","published":"2026-10-29T21:17:00Z","modified":"2026-11-05T04:42:51Z","cvss":[{"version":"4.0","score":7.1,"vector":"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","level":"high"},{"version":"3.1","score":5.5,"vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","level":"medium"}],"updated_at":"2026-11-05T13:33:25.727744Z"},{"id":"CLSA-2026-1793872631","title":"TuxCare security update for pypdf (6 CVEs)","description":"TuxCare rebuilt pypdf to address 6 CVEs. Fixed in 5.9.0.post22+tuxcare.","status":"published","published":"2026-11-05T10:57:11Z","modified":"2026-11-05T13:15:16.075363607Z","updated_at":"2026-11-05T13:30:00.949926Z"},{"id":"openSUSE-SU-2026:22219-1","title":"Security update for python-pypdf","description":"This update for python-pypdf fixes the following issues:\n\nChanges in python-pypdf:\n\n- CVE-2026-119209: negative /Index values and multiplied xref\n  streams can lead to clamp bypass and server memory exhaustion\n  (bsc#1288950)\n- CVE-2026-119208: trusting forged /Count values in encrypted PDF\n  page trees can lead to excessive resource consumption and denial\n  of service (bsc#1288951)\n- CVE-2026-119207: nested exception text accumulation in strict\n  mode parsing can lead to memory amplification and application\n  denial of service (bsc#1288952)\n- CVE-2026-119206: repeated sequential /Nums scanning in\n  page_labels resolution can lead to algorithmic complexity attacks\n  and denial of service (bsc#1288944)\n- CVE-2026-119205: misdirected reference tracking during dictionary\n  cloning can lead to cycle-detection bypass and thread-hanging\n  infinite loops (bsc#1288943)\n- CVE-2026-119204: unbounded resource entry copying during\n  page-tree flattening can lead to excessive memory allocation and\n  denial of service (bsc#1288942)\n- CVE-2026-119203: unterminated trailer search in incomplete\n  cross-reference tables can lead to an infinite loop and\n  thread-blocking denial of service (bsc#1288941)\n","status":"published","published":"2026-11-02T16:47:23Z","modified":"2026-11-04T17:23:23.818444116Z","updated_at":"2026-11-04T17:43:22.558805Z"}]}}