{"answers":{"affected":"3 open source packages ship an affected version, including pypdf. It affects 1 product.","exploited":"There is no known exploitation of CVE-2026-49460 in the wild and no public exploit code.","fix":"Upgrade pypdf to 6.12.2 or later.","what":"CVE-2026-49460 is a medium-severity denial of service vulnerability in Pypdf Project Pypdf, published on 22 Jun 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-2026-49460 and fix it if it is affected.\n\nWhat it is: CVE-2026-49460 is a medium-severity denial of service vulnerability in Pypdf Project Pypdf, published on 22 Jun 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-2026-49460 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- pypdf (PyPI): affected all versions; fixed in 6.12.2\n- pypdf (PyPI): affected all versions; fixed in 6.12.2\n- pypdf (PyPI): affected all versions; fixed in 6.12.2\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-2026-49460/ (Markdown: https://insights.sbomify.com/CVE-2026-49460/index.md)","id":"CVE-2026-49460","markdown":"https://insights.sbomify.com/CVE-2026-49460/index.md","name":"CVE-2026-49460","record":{"aliases":["CLEANSTART-2026-DZ15025","DEBIAN-CVE-2026-49460","ECHO-37c4-a1ff-2363","GHSA-5hgr-hg42-57jg","MINI-372w-p468-67mx","MINI-4x88-q7h3-8q3c","MINI-hmgx-xqc6-w755","MINI-q938-9p4m-gpr5","MINI-wj7j-jfxq-52qc","MINI-x9w9-xh6r-prj9","MINI-xqmj-vwc5-7h5j","PYSEC-2026-3010","UBUNTU-CVE-2026-49460"],"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 excessive CPU consumption and long runtimes by crafting a PDF with specific FlateDecode PNG predictor streams.","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"}],"description":"pypdf is a free and open-source pure-python PDF library. Prior to 6.12.2, an attacker who uses this vulnerability can craft a PDF which leads to long runtimes. This requires accessing a stream which uses the /FlateDecode filter with a PNG predictor. This vulnerability is fixed in 6.12.2.","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: Inefficient decoding of FlateDecode PNG predictor streams","id":"CVE-2026-49460","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":3,"next":{"headline":"pypdf: Possible large memory usage for form XObjects during text extraction","id":"CVE-2026-49461"},"packages":[{"ecosystem":"PyPI","fixed":["6.12.2"],"introduced":["0"],"last_affected":[],"package":"pypdf","purl":null,"source":"GHSA-5hgr-hg42-57jg"},{"ecosystem":"PyPI","fixed":["6.12.2"],"introduced":["0"],"last_affected":[],"package":"pypdf","purl":"pkg:pypi/pypdf","source":"GHSA-5hgr-hg42-57jg"},{"ecosystem":"PyPI","fixed":["6.12.2"],"introduced":["0"],"last_affected":[],"package":"pypdf","purl":"pkg:pypi/pypdf","source":"PYSEC-2026-3010"}],"prev":{"headline":"DOMPurify: IN_PLACE mode preserves attributes of a clobbered root element, allowing XSS via attacker-controlled root DOM","id":"CVE-2026-49459"},"products":["pypdf"],"published":"2026-06-22","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":"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":"2026-06-23","vendors":["py-pdf"]},"summary":"An attacker can cause excessive CPU consumption and long runtimes by crafting a PDF with specific FlateDecode PNG predictor streams.","url":"https://insights.sbomify.com/CVE-2026-49460/"}