{"answers":{"affected":"3 open source packages ship an affected version, including lemur. It affects 1 product.","exploited":"There is no known exploitation of CVE-2023-30797 in the wild and no public exploit code.","fix":"Upgrade lemur to 1.3.2 or later.","what":"CVE-2023-30797 is a high-severity vulnerability in Netflix Lemur, published on 19 Apr 2023. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2023-30797 and fix it if it is affected.\n\nWhat it is: CVE-2023-30797 is a high-severity vulnerability in Netflix Lemur, published on 19 Apr 2023. 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-2023-30797 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- lemur (PyPI): affected all versions; fixed in 1.3.2\n- lemur (PyPI): affected all versions; fixed in 1.3.2\n- lemur (PyPI): affected all versions; fixed in 1.3.2\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-2023-30797/ (Markdown: https://insights.sbomify.com/CVE-2023-30797/index.md)","id":"CVE-2023-30797","markdown":"https://insights.sbomify.com/CVE-2023-30797/index.md","name":"CVE-2023-30797","record":{"aliases":["GHSA-5fqv-mpj8-h7gm","PYSEC-2023-20"],"analysis":{"component_type":"web_application","fix_type":"upgrade","impacts":["account_takeover","data_read"],"network_reachable":"yes","non_default_config":false,"product_category":"Certificate management tool","requires_auth":"none","summary":"Attackers can guess default credentials due to insecure random generation, gaining unauthorized access to resources managed by Netflix Lemur.","user_interaction":"not_required","vuln_class":"weak_cryptography"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"VulnCheck","cpe":[{"product":"lemur","vendor":"netflix"}],"cvss":{"score":7.5,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N","version":"3.1"},"cwes":[{"id":"CWE-330","name":"Use of Insufficiently Random Values"}],"description":"Netflix Lemur before version 1.3.2 used insufficiently random values when generating default credentials. The insufficiently random values may allow an attacker to guess the credentials and gain access to resources managed by Lemur.","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":"Insecure Random Generation in Netflix Lemur","id":"CVE-2023-30797","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"weak_cryptography","year":"2023"},"n_packages":3,"n_references":4,"next":{"headline":"MultipartParser DOS with too many fields or files in Starlette Framework","id":"CVE-2023-30798"},"packages":[{"ecosystem":"PyPI","fixed":["1.3.2"],"introduced":["0"],"last_affected":[],"package":"lemur","purl":null,"source":"GHSA-5fqv-mpj8-h7gm"},{"ecosystem":"PyPI","fixed":["1.3.2"],"introduced":["0"],"last_affected":[],"package":"lemur","purl":"pkg:pypi/lemur","source":"GHSA-5fqv-mpj8-h7gm"},{"ecosystem":"PyPI","fixed":["1.3.2"],"introduced":["0"],"last_affected":[],"package":"lemur","purl":"pkg:pypi/lemur","source":"PYSEC-2023-20"}],"prev":{"headline":"Memory corruption in JT Open","id":"CVE-2023-30796"},"products":["Lemur"],"published":"2023-04-19","related":[{"cvss_score":7.5,"headline":"Lemur uses static IV per key","id":"CVE-2015-7764","kev_date_added":null,"published":"2017-08-09"}],"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":"2026-07-15","vendors":["Netflix"]},"summary":"Attackers can guess default credentials due to insecure random generation, gaining unauthorized access to resources managed by Netflix Lemur.","url":"https://insights.sbomify.com/CVE-2023-30797/"}