{"answers":{"affected":"3 open source packages ship an affected version, including pypdf. It affects 1 product.","exploited":"There is no known exploitation of CVE-2026-33123 in the wild and no public exploit code.","fix":"Upgrade pypdf to 6.9.1 or later.","what":"CVE-2026-33123 is a medium-severity denial of service vulnerability in Pypdf Project Pypdf, published on 20 Mar 2026. It can only be exploited from the same machine or local network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2026-33123 and fix it if it is affected.\n\nWhat it is: CVE-2026-33123 is a medium-severity denial of service vulnerability in Pypdf Project Pypdf, published on 20 Mar 2026. It can only be exploited from the same machine or local network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2026-33123 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- pypdf (PyPI): affected all versions; fixed in 6.9.1\n- pypdf (PyPI): affected all versions; fixed in 6.9.1\n- pypdf (PyPI): affected all versions; fixed in 6.9.1\n\nTask:\n1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.\n2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.\n3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.\n4. Run the tests and summarise what changed and why.\n5. If nothing in the project is affected, say so and change nothing.\n\nReference: https://insights.sbomify.com/CVE-2026-33123/ (Markdown: https://insights.sbomify.com/CVE-2026-33123/index.md)","id":"CVE-2026-33123","markdown":"https://insights.sbomify.com/CVE-2026-33123/index.md","name":"CVE-2026-33123","record":{"aliases":["DEBIAN-CVE-2026-33123","ECHO-bc03-0ce7-e396","GHSA-qpxp-75px-xjcp","MINI-3rvm-v6j7-4gg8","MINI-8wcx-vfpq-5j84","PYSEC-2026-3023","ROOT-APP-PYPI-CVE-2026-33123","UBUNTU-CVE-2026-33123","openSUSE-SU-2026:10402-1","openSUSE-SU-2026:10403-1"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"Python PDF library","requires_auth":"none","summary":"An attacker can cause denial of service via long runtimes or high memory usage by crafting a malicious PDF with array-based streams in pypdf.","user_interaction":"not_required","vuln_class":"denial_of_service"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"pypdf","vendor":"pypdf_project"}],"cvss":{"score":5.1,"severity":"medium","source":"cna","vector":"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","version":"4.0"},"cwes":[{"id":"CWE-407","name":"Inefficient Algorithmic Complexity"},{"id":"CWE-400","name":"Uncontrolled Resource Consumption"}],"description":"pypdf is a free and open-source pure-python PDF library. Versions prior to 6.9.1 allow an attacker to craft a malicious PDF which leads to long runtimes and/or large memory usage. Exploitation requires accessing an array-based stream with many entries. This issue has been fixed in version 6.9.1.","ecosystems":["PyPI","openSUSE:Tumbleweed"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":true,"headline":"pypdf has inefficient decoding of array-based streams","id":"CVE-2026-33123","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":"pypdf_project:pypdf","products":["pypdf_project:pypdf"],"type":"denial_of_service","year":"2026"},"n_packages":5,"n_references":3,"next":{"headline":"Frigate has insecure password change functionality","id":"CVE-2026-33124"},"packages":[{"ecosystem":"PyPI","fixed":["6.9.1"],"introduced":["0"],"last_affected":[],"package":"pypdf","purl":null,"source":"GHSA-qpxp-75px-xjcp"},{"ecosystem":"PyPI","fixed":["6.9.1"],"introduced":["0"],"last_affected":[],"package":"pypdf","purl":"pkg:pypi/pypdf","source":"GHSA-qpxp-75px-xjcp"},{"ecosystem":"PyPI","fixed":["6.9.1"],"introduced":["0"],"last_affected":[],"package":"pypdf","purl":"pkg:pypi/pypdf","source":"PYSEC-2026-3023"},{"ecosystem":"openSUSE:Tumbleweed","fixed":["2.11.1-8.1"],"introduced":["0"],"last_affected":[],"package":"python-PyPDF2","purl":"pkg:rpm/opensuse/python-PyPDF2\u0026distro=openSUSE%20Tumbleweed","source":"openSUSE-SU-2026:10402-1"},{"ecosystem":"openSUSE:Tumbleweed","fixed":["6.9.1-1.1"],"introduced":["0"],"last_affected":[],"package":"python-pypdf","purl":"pkg:rpm/opensuse/python-pypdf\u0026distro=openSUSE%20Tumbleweed","source":"openSUSE-SU-2026:10403-1"}],"prev":{"headline":"DataEase has SQL Injection via Datasource Management","id":"CVE-2026-33122"},"products":["pypdf"],"published":"2026-03-20","related":[{"cvss_score":8.7,"headline":"pypdf: Possible large memory usage when retrieving Roman page labels","id":"CVE-2026-102993","kev_date_added":null,"published":"2026-09-30"},{"cvss_score":8.7,"headline":"pypdf: Possible long runtimes/large memory usage when parsing indirect objects","id":"CVE-2026-102994","kev_date_added":null,"published":"2026-09-30"},{"cvss_score":8.7,"headline":"pypdf: Possible large memory usage for large /ToUnicode streams (Follow-up 2)","id":"CVE-2026-102995","kev_date_added":null,"published":"2026-09-30"},{"cvss_score":8.7,"headline":"pypdf: Possible large memory usage when parsing font data","id":"CVE-2026-102996","kev_date_added":null,"published":"2026-09-30"},{"cvss_score":8.7,"headline":"pypdf: Possible long runtimes for partially malformed FlateDecode streams (Follow-up)","id":"CVE-2026-102997","kev_date_added":null,"published":"2026-09-30"},{"cvss_score":8.7,"headline":"pypdf: Possible long runtimes when generating appearance streams","id":"CVE-2026-102998","kev_date_added":null,"published":"2026-09-30"},{"cvss_score":8.7,"headline":"pypdf: Possible long runtimes with large amount of embedded files","id":"CVE-2026-102999","kev_date_added":null,"published":"2026-09-30"}],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"CC BY 4.0","name":"GitHub Advisory Database","prefix":"GHSA"},{"class":"attribution","licence":"CC BY 4.0","name":"PyPA Advisory Database","prefix":"PYSEC"},{"class":"attribution","licence":"CC BY 4.0","name":"SUSE","prefix":"openSUSE"},{"class":"attribution","licence":"US public information, NVD API terms","name":"NVD"},{"class":"attribution","licence":"CWE Terms of Use","name":"CWE (MITRE)"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"no","exploitation":"none","technical_impact":"partial"},"state":"PUBLISHED","updated":"2026-03-20","vendors":["py-pdf"]},"summary":"An attacker can cause denial of service via long runtimes or high memory usage by crafting a malicious PDF with array-based streams in pypdf.","url":"https://insights.sbomify.com/CVE-2026-33123/"}