{"answers":{"affected":"3 open source packages ship an affected version, including apache-airflow. It affects 1 product.","exploited":"There is no known exploitation of CVE-2017-17836 in the wild and no public exploit code.","fix":"Upgrade apache-airflow to 1.9.0 or later.","what":"CVE-2017-17836 is a critical vulnerability in Apache Airflow, published on 23 Jan 2019. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2017-17836 and fix it if it is affected.\n\nWhat it is: CVE-2017-17836 is a critical vulnerability in Apache Airflow, published on 23 Jan 2019. 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-2017-17836 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- apache-airflow (PyPI): affected all versions; fixed in 1.9.0\n- apache-airflow (PyPI): affected all versions; fixed in 1.9.0\n- apache-airflow (PyPI): affected all versions; fixed in 1.9.0\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-2017-17836/ (Markdown: https://insights.sbomify.com/CVE-2017-17836/index.md)","id":"CVE-2017-17836","markdown":"https://insights.sbomify.com/CVE-2017-17836/index.md","name":"CVE-2017-17836","record":{"aliases":["GHSA-9gqg-3fxr-9hv7","PYSEC-2019-149"],"analysis":{"component_type":"web_application","fix_type":"upgrade","impacts":["data_read","account_takeover"],"network_reachable":"yes","non_default_config":true,"product_category":"Apache Airflow","requires_auth":"none","summary":"An experimental feature in Apache Airflow exposes authenticated cookies and database passwords, allowing attackers with limited access to steal credentials.","user_interaction":"not_required","vuln_class":"information_disclosure"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"apache","cpe":[{"product":"airflow","vendor":"apache"}],"cvss":{"score":9.8,"severity":"critical","source":"nvd","vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","version":"3.0"},"cwes":[{"id":"CWE-255","name":null}],"description":"In Apache Airflow 1.8.2 and earlier, an experimental Airflow feature displayed authenticated cookies, as well as passwords to databases used by Airflow. An attacker who has limited access to airflow, whether it be via XSS or by leaving a machine unlocked can exfiltrate all credentials from the system.","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":"Apache Airflow vulnerable to XSS","id":"CVE-2017-17836","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":"apache:airflow","products":["apache:airflow"],"type":"information_disclosure","year":"2017"},"n_packages":3,"n_references":1,"next":{"headline":"Cross-site Scripting in Apache DeltaSpike","id":"CVE-2017-17837"},"packages":[{"ecosystem":"PyPI","fixed":["1.9.0"],"introduced":["0"],"last_affected":[],"package":"apache-airflow","purl":null,"source":"GHSA-9gqg-3fxr-9hv7"},{"ecosystem":"PyPI","fixed":["1.9.0"],"introduced":["0"],"last_affected":[],"package":"apache-airflow","purl":"pkg:pypi/apache-airflow","source":"GHSA-9gqg-3fxr-9hv7"},{"ecosystem":"PyPI","fixed":["1.9.0"],"introduced":["0"],"last_affected":[],"package":"apache-airflow","purl":"pkg:pypi/apache-airflow","source":"PYSEC-2019-149"}],"prev":{"headline":"Cross-Site Request Forgery (CSRF) in Apache Airflow","id":"CVE-2017-17835"},"products":["Apache Airflow"],"published":"2019-01-23","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":"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":null,"exploitation":null,"technical_impact":null},"state":"PUBLISHED","updated":"2024-09-17","vendors":["Apache Software Foundation"]},"summary":"An experimental feature in Apache Airflow exposes authenticated cookies and database passwords, allowing attackers with limited access to steal credentials.","url":"https://insights.sbomify.com/CVE-2017-17836/"}