{"answers":{"affected":"3 open source packages ship an affected version, including pypdf. It affects 1 product.","exploited":"There is no known exploitation of CVE-2026-102993 in the wild and no public exploit code.","fix":"Upgrade pypdf to 6.17.0 or later.","what":"CVE-2026-102993 is a high-severity denial of service vulnerability in Pypdf Project Pypdf, published on 30 Sep 2026. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2026-102993 and fix it if it is affected.\n\nWhat it is: CVE-2026-102993 is a high-severity denial of service vulnerability in Pypdf Project Pypdf, published on 30 Sep 2026. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2026-102993 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- pypdf (PyPI): affected all versions; fixed in 6.17.0\n- pypdf (PyPI): affected all versions; fixed in 6.17.0\n- pypdf (PyPI): affected all versions; fixed in 6.17.0\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-2026-102993/ (Markdown: https://insights.sbomify.com/CVE-2026-102993/index.md)","id":"CVE-2026-102993","markdown":"https://insights.sbomify.com/CVE-2026-102993/index.md","name":"CVE-2026-102993","record":{"aliases":["DEBIAN-CVE-2026-102993","ECHO-3c06-54a1-772f","GHSA-qv6h-rv94-w285","MINI-22h4-j2jq-9j49","MINI-3w8h-2v3r-289h","MINI-4fj3-xf43-68mq","MINI-7w84-c5jh-7rh2","MINI-9xgr-h5vr-6r8w","MINI-c5x7-3v9p-vhxw","MINI-fwfc-f439-vfj9","MINI-jmrw-hcp3-h7v9","MINI-mg4p-5v8p-q5wv","MINI-pf67-wr92-x8mm","MINI-r7rj-7w38-4prf","MINI-rg5g-r58c-r7h5","MINI-wgx6-crw6-vv62","PYSEC-2026-4158","ROOT-APP-PYPI-CVE-2026-102993","UBUNTU-CVE-2026-102993"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"yes","non_default_config":false,"product_category":"Python PDF library","requires_auth":"none","summary":"Attackers can cause denial of service in applications using pypdf by providing crafted PDFs with large Roman page labels, leading to excessive memory consumption.","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":8.7,"severity":"high","source":"cna","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N","version":"4.0"},"cwes":[{"id":"CWE-770","name":"Allocation of Resources Without Limits or Throttling"},{"id":"CWE-400","name":"Uncontrolled Resource Consumption"}],"description":"pypdf is a free and open-source pure-python PDF library. Prior to 6.17.0, a crafted PDF can provide unusually large Roman page-label values that cause pypdf/_page_labels.py to generate excessively large numeral strings when an application retrieves document page labels, consuming large amounts of memory and potentially making the application unavailable. This issue is fixed in version 6.17.0.","ecosystems":["PyPI"],"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: Possible large memory usage when retrieving Roman page labels","id":"CVE-2026-102993","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":3,"n_references":4,"next":{"headline":"pypdf: Possible long runtimes/large memory usage when parsing indirect objects","id":"CVE-2026-102994"},"packages":[{"ecosystem":"PyPI","fixed":["6.17.0"],"introduced":["0"],"last_affected":[],"package":"pypdf","purl":null,"source":"GHSA-qv6h-rv94-w285"},{"ecosystem":"PyPI","fixed":["6.17.0"],"introduced":["0"],"last_affected":[],"package":"pypdf","purl":"pkg:pypi/pypdf","source":"GHSA-qv6h-rv94-w285"},{"ecosystem":"PyPI","fixed":["6.17.0"],"introduced":["0"],"last_affected":[],"package":"pypdf","purl":"pkg:pypi/pypdf","source":"PYSEC-2026-4158"}],"prev":{"headline":"piscina: Prototype-pollution gadget in ThreadPool.options allows RCE via execArgv / loadBalancer / env","id":"CVE-2026-102992"},"products":["pypdf"],"published":"2026-09-30","related":[{"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":"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":"2026-10-02","vendors":["py-pdf"]},"summary":"Attackers can cause denial of service in applications using pypdf by providing crafted PDFs with large Roman page labels, leading to excessive memory consumption.","url":"https://insights.sbomify.com/CVE-2026-102993/"}