{"answers":{"affected":"1 open source package ship an affected version, including pandas. It affects 1 product.","exploited":"There is no known exploitation of CVE-2020-13091 in the wild and no public exploit code.","fix":"Upgrade pandas to 1.0.4 or later.","what":"CVE-2020-13091 is a critical unsafe deserialization vulnerability in n/a, published on 15 May 2020. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2020-13091 and fix it if it is affected.\n\nWhat it is: CVE-2020-13091 is a critical unsafe deserialization vulnerability in n/a, published on 15 May 2020. 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-2020-13091 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- pandas (PyPI): affected all versions; fixed in 1.0.4\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-2020-13091/ (Markdown: https://insights.sbomify.com/CVE-2020-13091/index.md)","id":"CVE-2020-13091","markdown":"https://insights.sbomify.com/CVE-2020-13091/index.md","name":"CVE-2020-13091","record":{"aliases":["DEBIAN-CVE-2020-13091","GHSA-cmm9-mgm5-9r42","PYSEC-2020-73"],"analysis":{"component_type":"library","fix_type":"no_fix_stated","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"Python data library","requires_auth":"none","summary":"Attackers can execute arbitrary commands via malicious pickle files in pandas read_pickle, though usage is documented as unsafe.","user_interaction":"not_required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"mitre","cpe":[{"product":"pandas","vendor":"numfocus"}],"cvss":{"score":9.8,"severity":"critical","source":"nvd","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-502","name":"Deserialization of Untrusted Data"}],"description":"pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the read_pickle() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the read_pickle() function is documented as unsafe and it is the user's responsibility to use the function in a secure manner","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":"Deserialization in n/a","id":"CVE-2020-13091","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"deserialization","year":"2020"},"n_packages":1,"n_references":2,"next":{"headline":"scikit-learn Deserialization of Untrusted Data","id":"CVE-2020-13092"},"packages":[{"ecosystem":"PyPI","fixed":["1.0.4"],"introduced":["0"],"last_affected":[],"package":"pandas","purl":"pkg:pypi/pandas","source":"PYSEC-2020-73"}],"prev":{"headline":"DO NOT USE THIS CANDIDATE NUMBER.","id":"CVE-2020-13089"},"products":["n/a"],"published":"2020-05-15","related":[],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"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":null,"exploitation":null,"technical_impact":null},"state":"PUBLISHED","updated":"2024-08-04","vendors":["n/a"]},"summary":"Attackers can execute arbitrary commands via malicious pickle files in pandas read_pickle, though usage is documented as unsafe.","url":"https://insights.sbomify.com/CVE-2020-13091/"}