{"answers":{"affected":"3 open source packages ship an affected version, including pypdf. It affects 1 product.","exploited":"There is no known exploitation of CVE-2026-102995 in the wild and no public exploit code.","fix":"Upgrade pypdf to 6.18.1 or later.","what":"CVE-2026-102995 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-2026-102995 and fix it if it is affected.\n\nWhat it is: CVE-2026-102995 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-2026-102995 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- pypdf (PyPI): affected all versions; fixed in 6.18.1\n- pypdf (PyPI): affected all versions; fixed in 6.18.1\n- pypdf (PyPI): affected all versions; fixed in 6.18.1\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-2026-102995/ (Markdown: https://insights.sbomify.com/CVE-2026-102995/index.md)","id":"CVE-2026-102995","markdown":"https://insights.sbomify.com/CVE-2026-102995/index.md","name":"CVE-2026-102995","record":{"aliases":["DEBIAN-CVE-2026-102995","ECHO-cd5b-5df9-4786","GHSA-fp3h-c4fm-7vvf","MINI-3qqv-jpvg-g4rr","MINI-5769-j342-3g5m","MINI-5mwh-m3g6-p4hx","MINI-73p5-4927-3vp8","MINI-8mfj-jwxf-37pq","MINI-8wj9-4q33-xfvr","MINI-99x9-2vpx-54vh","MINI-c64v-j2rh-7m7q","MINI-c7rv-j8c5-2fxm","MINI-fhjc-h4mc-jg8v","MINI-j48q-356c-j2j2","MINI-q7jw-q2xc-xxf7","MINI-wv8h-r386-v5q9","MINI-x68x-2wjw-hmjp","PYSEC-2026-4154","ROOT-APP-PYPI-CVE-2026-102995","UBUNTU-CVE-2026-102995"],"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":"A crafted PDF with large /ToUnicode tokens can cause excessive memory consumption in pypdf, leading to denial of service.","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-400","name":"Uncontrolled Resource Consumption"}],"description":"pypdf is a free and open-source pure-python PDF library. Prior to 6.18.1, a crafted PDF can place unusually large source-code or destination-string tokens in a font /ToUnicode mapping, causing pypdf/_cmap.py parse_bfchar to decode and retain oversized values during operations such as text extraction and consume excessive memory. This is a second follow-up to earlier /ToUnicode resource-consumption fixes and is limited to the remaining token-length path. This issue is fixed in version 6.18.1.","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 for large /ToUnicode streams (Follow-up 2)","id":"CVE-2026-102995","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 large memory usage when parsing font data","id":"CVE-2026-102996"},"packages":[{"ecosystem":"PyPI","fixed":["6.18.1"],"introduced":["0"],"last_affected":[],"package":"pypdf","purl":null,"source":"GHSA-fp3h-c4fm-7vvf"},{"ecosystem":"PyPI","fixed":["6.18.1"],"introduced":["0"],"last_affected":[],"package":"pypdf","purl":"pkg:pypi/pypdf","source":"GHSA-fp3h-c4fm-7vvf"},{"ecosystem":"PyPI","fixed":["6.18.1"],"introduced":["0"],"last_affected":[],"package":"pypdf","purl":"pkg:pypi/pypdf","source":"PYSEC-2026-4154"}],"prev":{"headline":"pypdf: Possible long runtimes/large memory usage when parsing indirect objects","id":"CVE-2026-102994"},"products":["pypdf"],"published":"2026-09-30","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 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":"yes","exploitation":"none","technical_impact":"partial"},"state":"PUBLISHED","updated":"2026-10-01","vendors":["py-pdf"]},"summary":"A crafted PDF with large /ToUnicode tokens can cause excessive memory consumption in pypdf, leading to denial of service.","url":"https://insights.sbomify.com/CVE-2026-102995/"}