{"answers":{"affected":"It affects 1 product.","exploited":"There is no known exploitation of CVE-2024-27103 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2024-27103 yet. Limit exposure of the affected software until one is available.","what":"CVE-2024-27103 is a medium-severity cross-site scripting vulnerability in pinterest querybook, published on 28 Feb 2024. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2024-27103 and fix it if it is affected.\n\nWhat it is: CVE-2024-27103 is a medium-severity cross-site scripting vulnerability in pinterest querybook, published on 28 Feb 2024. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link.\nExploitation: There is no known exploitation of CVE-2024-27103 in the wild and no public exploit code.\n\nAffected product: pinterest querybook. No package-level version data is available, so check the vendor advisory linked from the reference page.\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-2024-27103/ (Markdown: https://insights.sbomify.com/CVE-2024-27103/index.md)","id":"CVE-2024-27103","markdown":"https://insights.sbomify.com/CVE-2024-27103/index.md","name":"CVE-2024-27103","record":{"aliases":["GHSA-3hjm-9277-5c88"],"analysis":{"component_type":"web_application","fix_type":"upgrade","impacts":["privilege_escalation","code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"Big Data Querying UI","requires_auth":"none","summary":"Attackers can inject malicious scripts via search results or auto-suggestions in Querybook, leading to privilege escalation.","user_interaction":"required","vuln_class":"xss"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"querybook","vendor":"pinterest"}],"cvss":{"score":6.1,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N","version":"3.1"},"cwes":[{"id":"CWE-79","name":"Improper Neutralization of Input During Web Page Generation"}],"description":"Querybook is a Big Data Querying UI. When a user searches for their queries, datadocs, tables and lists, the search result is marked and highlighted, and this feature uses dangerouslySetInnerHTML which means that if the highlighted result has an XSS payload it will trigger. While the input to dangerouslySetInnerHTML is not sanitized for the data inside of queries which leads to an XSS vulnerability. During the \"query auto-suggestion\" the name of the suggested tables are set with innerHTML which leads to the XSS vulnerability. A patch to rectify this issue has been introduced in Querybook version 3.31.2.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":false,"headline":"Querybook Stored Cross-Site Scripting allows Privilege Elevation","id":"CVE-2024-27103","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"xss","year":"2024"},"n_packages":0,"n_references":2,"next":{"headline":"Stored XSS in dashboards in GLPI","id":"CVE-2024-27104"},"packages":[],"prev":{"headline":"Improper isolation of server file access in github.com/pterodactyl/wings","id":"CVE-2024-27102"},"products":["querybook"],"published":"2024-02-28","related":[{"cvss_score":6.3,"headline":"Reflected XSS","id":"CVE-2022-46151","kev_date_added":null,"published":"2022-12-06"},{"cvss_score":6.1,"headline":"Querybook's Stored Cross-Site Scripting vulnerability allows Privilege Elevation","id":"CVE-2024-26148","kev_date_added":null,"published":"2024-02-21"},{"cvss_score":5.6,"headline":"Cross-site websocket hijacking in Querybook","id":"CVE-2024-28251","kev_date_added":null,"published":"2024-03-13"}],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"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":"2024-08-02","vendors":["pinterest"]},"summary":"Attackers can inject malicious scripts via search results or auto-suggestions in Querybook, leading to privilege escalation.","url":"https://insights.sbomify.com/CVE-2024-27103/"}