{"answers":{"affected":"4 open source packages ship an affected version, including apache-airflow and airflow. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2024-39877 exists.","fix":"Upgrade apache-airflow to 2.9.3 or later.","what":"CVE-2024-39877 is a high-severity code injection vulnerability in Apache Airflow, published on 17 Jul 2024. Any signed-in user can exploit it over the network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2024-39877 and fix it if it is affected.\n\nWhat it is: CVE-2024-39877 is a high-severity code injection vulnerability in Apache Airflow, published on 17 Jul 2024. Any signed-in user can exploit it over the network, with no action from the victim.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2024-39877 exists.\n\nAffected packages and fixed versions:\n- apache-airflow (PyPI): affected from 2.4.0; fixed in 2.9.3\n- apache-airflow (PyPI): affected from 2.4.0; fixed in 2.9.3\n- apache-airflow (PyPI): affected from 2.4.0; fixed in 2.9.3\n- airflow (Bitnami): affected from 2.4.0; fixed in 2.9.3\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-2024-39877/ (Markdown: https://insights.sbomify.com/CVE-2024-39877/index.md)","id":"CVE-2024-39877","markdown":"https://insights.sbomify.com/CVE-2024-39877/index.md","name":"CVE-2024-39877","record":{"aliases":["BIT-airflow-2024-39877","ECHO-f127-5150-e1e6","GHSA-g5hv-r743-v8pm","PYSEC-2024-190"],"analysis":{"component_type":"server_software","fix_type":"upgrade","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"Apache Airflow","requires_auth":"low_privilege","summary":"Authenticated DAG authors can execute arbitrary code in the scheduler context via crafted doc_md parameters, requiring an upgrade to secure the system.","user_interaction":"not_required","vuln_class":"code_injection"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"apache","cpe":[{"product":"airflow","vendor":"apache"}],"cvss":{"score":8.8,"severity":"high","source":"cisa-adp","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-277","name":"Insecure Inherited Permissions"},{"id":"CWE-94","name":"Improper Control of Generation of Code"}],"description":"Apache Airflow 2.4.0, and versions before 2.9.3, has a vulnerability that allows authenticated DAG authors to craft a doc_md parameter in a way that could execute arbitrary code in the scheduler context, which should be forbidden according to the Airflow Security model. Users should upgrade to version 2.9.3 or later which has removed the vulnerability.","ecosystems":["Bitnami","PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":true,"headline":"Apache Airflow: DAG Author Code Execution possibility in airflow-scheduler","id":"CVE-2024-39877","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"apache:airflow","products":["apache:airflow"],"type":"code_injection","year":"2024"},"n_packages":4,"n_references":2,"next":{"headline":"Information disclosure in TeamCity","id":"CVE-2024-39878"},"packages":[{"ecosystem":"Bitnami","fixed":["2.9.3"],"introduced":["2.4.0"],"last_affected":[],"package":"airflow","purl":"pkg:bitnami/airflow","source":"BIT-airflow-2024-39877"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.4.0"],"last_affected":[],"package":"apache-airflow","purl":null,"source":"GHSA-g5hv-r743-v8pm"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.4.0"],"last_affected":[],"package":"apache-airflow","purl":"pkg:pypi/apache-airflow","source":"GHSA-g5hv-r743-v8pm"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.4.0"],"last_affected":[],"package":"apache-airflow","purl":"pkg:pypi/apache-airflow","source":"PYSEC-2024-190"}],"prev":{"headline":"Denial of service in SINEMA Remote Connect Server","id":"CVE-2024-39876"},"products":["Apache Airflow"],"published":"2024-07-17","related":[{"cvss_score":9.8,"headline":"Apache Airflow's Experimental API Authentication Bypass","id":"CVE-2020-13927","kev_date_added":"2022-01-18","published":"2020-11-10"},{"cvss_score":8.8,"headline":"Apache Airflow Command Injection","id":"CVE-2020-11978","kev_date_added":"2022-01-18","published":"2020-07-16"},{"cvss_score":9.8,"headline":"Apache Airflow: DAG author RCE on webserver via unrestricted import_string() in BaseSerialization.deserialize()","id":"CVE-2026-33264","kev_date_added":null,"published":"2026-07-07"},{"cvss_score":9.8,"headline":"Apache Airflow: Privilege escalation using airflow logs","id":"CVE-2023-25754","kev_date_added":null,"published":"2023-05-08"},{"cvss_score":9.8,"headline":"Apache Airflow, Apache Airflow MySQL Provider: Arbitrary file read via MySQL provider in Apache Airflow","id":"CVE-2023-22884","kev_date_added":null,"published":"2023-01-21"},{"cvss_score":9.8,"headline":"Apache Airflow Pinot provider allowed Command Injection","id":"CVE-2022-38649","kev_date_added":null,"published":"2022-11-22"},{"cvss_score":9.8,"headline":"Apache Airlfow Pig Provider RCE","id":"CVE-2022-40189","kev_date_added":null,"published":"2022-11-22"}],"sources":[{"class":"attribution","licence":"Apache-2.0","name":"Bitnami","prefix":"BIT"},{"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":"poc","technical_impact":"total"},"state":"PUBLISHED","updated":"2024-09-13","vendors":["Apache Software Foundation"]},"summary":"Authenticated DAG authors can execute arbitrary code in the scheduler context via crafted doc_md parameters, requiring an upgrade to secure the system.","url":"https://insights.sbomify.com/CVE-2024-39877/"}