{"answers":{"affected":"It affects 2 products.","exploited":"There is no known exploitation of CVE-2019-8987 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2019-8987 yet. Limit exposure of the affected software until one is available.","what":"CVE-2019-8987 is a high-severity cross-site scripting vulnerability in TIBCO Data Science for AWS, published on 26 Mar 2019. Any signed-in user can exploit it over the network, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2019-8987 and fix it if it is affected.\n\nWhat it is: CVE-2019-8987 is a high-severity cross-site scripting vulnerability in TIBCO Data Science for AWS, published on 26 Mar 2019. Any signed-in user can exploit it over the network, and only if a user opens a file or follows a link.\nExploitation: There is no known exploitation of CVE-2019-8987 in the wild and no public exploit code.\n\nAffected product: TIBCO Data Science for AWS. 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-2019-8987/ (Markdown: https://insights.sbomify.com/CVE-2019-8987/index.md)","id":"CVE-2019-8987","markdown":"https://insights.sbomify.com/CVE-2019-8987/index.md","name":"CVE-2019-8987","record":{"aliases":["GHSA-f57c-f25x-cvfj"],"analysis":{"component_type":"web_application","fix_type":"upgrade","impacts":["privilege_escalation","account_takeover"],"network_reachable":"yes","non_default_config":false,"product_category":"TIBCO Data Science","requires_auth":"low_privilege","summary":"An authenticated user can exploit persistent XSS to gain unauthorized access to privileged web interface capabilities in TIBCO Data Science.","user_interaction":"required","vuln_class":"xss"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"tibco","cpe":[{"product":"data_science_for_aws","vendor":"tibco"},{"product":"spotfire_data_science","vendor":"tibco"}],"cvss":{"score":7.6,"severity":"high","source":"cna","vector":"CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:L","version":"3.0"},"cwes":[{"id":"CWE-79","name":"Improper Neutralization of Input During Web Page Generation"}],"description":"The application server component of TIBCO Software Inc.'s TIBCO Data Science for AWS, and TIBCO Spotfire Data Science contains a persistent cross-site scripting vulnerability that theoretically allows an authenticated user to gain access to all the capabilities of the web interface available to more privileged users. Affected releases are TIBCO Software Inc.'s TIBCO Data Science for AWS: versions up to and including 6.4.0, and TIBCO Spotfire Data Science: versions up to and including 6.4.0.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":null,"headline":"TIBCO Spotfire Data Science Vulnerable to Persistent Cross-Site Scripting","id":"CVE-2019-8987","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"xss","year":"2019"},"n_packages":0,"n_references":3,"next":{"headline":"TIBCO Spotfire Data Science Privilege Escalation Vulnerability","id":"CVE-2019-8988"},"packages":[],"prev":{"headline":"TIBCO JasperReports Server XML Entity Expansion Vulnerability","id":"CVE-2019-8986"},"products":["TIBCO Data Science for AWS","TIBCO Spotfire Data Science"],"published":"2019-03-26","related":[{"cvss_score":6.5,"headline":"TIBCO Spotfire Data Science Privilege Escalation Vulnerability","id":"CVE-2019-8988","kev_date_added":null,"published":"2019-03-26"},{"cvss_score":5,"headline":"TIBCO Spotfire Data Science Spoofing Vulnerability","id":"CVE-2019-8989","kev_date_added":null,"published":"2019-03-26"}],"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":null,"exploitation":null,"technical_impact":null},"state":"PUBLISHED","updated":"2024-09-16","vendors":["TIBCO Software Inc."]},"summary":"An authenticated user can exploit persistent XSS to gain unauthorized access to privileged web interface capabilities in TIBCO Data Science.","url":"https://insights.sbomify.com/CVE-2019-8987/"}