{"answers":{"affected":"It affects 1 product.","exploited":"There is no known exploitation of CVE-2025-57203 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2025-57203 yet. Limit exposure of the affected software until one is available.","what":"CVE-2025-57203 is a medium-severity cross-site scripting vulnerability in n/a, published on 22 Sep 2025. An attacker needs administrator access to exploit it, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2025-57203 and fix it if it is affected.\n\nWhat it is: CVE-2025-57203 is a medium-severity cross-site scripting vulnerability in n/a, published on 22 Sep 2025. An attacker needs administrator access to exploit it, and only if a user opens a file or follows a link.\nExploitation: There is no known exploitation of CVE-2025-57203 in the wild and no public exploit code.\n\nAffected product: n/a. 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-2025-57203/ (Markdown: https://insights.sbomify.com/CVE-2025-57203/index.md)","id":"CVE-2025-57203","markdown":"https://insights.sbomify.com/CVE-2025-57203/index.md","name":"CVE-2025-57203","record":{"aliases":["GHSA-p549-v45c-9xxx"],"analysis":{"component_type":"web_application","fix_type":"patch","impacts":["account_takeover","data_read"],"network_reachable":"yes","non_default_config":false,"product_category":"AI chatbot platform","requires_auth":"high_privilege","summary":"Authenticated attackers can inject JavaScript into chatbot prompts, leading to session hijacking and account takeover for other users.","user_interaction":"required","vuln_class":"xss"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"mitre","cpe":[{"product":"magicai","vendor":"liquidlabs"}],"cvss":{"score":4.8,"severity":"medium","source":"cisa-adp","vector":"CVSS:3.1/AV:N/AC:L/PR:H/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":"MagicProject AI version 9.1 is affected by a Cross-Site Scripting (XSS) vulnerability within the chatbot generation feature available to authenticated admin users. The vulnerability resides in the prompt parameter submitted to the /dashboard/user/generator/generate-stream endpoint via a multipart/form-data POST request. Due to insufficient input sanitization, attackers can inject HTML-based JavaScript payloads. This payload is stored and rendered unsanitized in subsequent views, leading to execution in other users' browsers when they access affected content. This issue allows an authenticated attacker to execute arbitrary JavaScript in the context of another user, potentially leading to session hijacking, privilege escalation, data exfiltration, or administrative account takeover. The application does not implement a Content Security Policy (CSP) or adequate input filtering to prevent such attacks. A fix should include proper sanitization, output encoding, and strong CSP enforcement to mitigate exploitation.","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":"Cross-site scripting in n/a","id":"CVE-2025-57203","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"xss","year":"2025"},"n_packages":0,"n_references":1,"next":{"headline":"Cross-site scripting in n/a","id":"CVE-2025-57204"},"packages":[],"prev":{"headline":"Cross-site scripting in n/a","id":"CVE-2025-57202"},"products":["n/a"],"published":"2025-09-22","related":[],"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":"2025-09-24","vendors":["n/a"]},"summary":"Authenticated attackers can inject JavaScript into chatbot prompts, leading to session hijacking and account takeover for other users.","url":"https://insights.sbomify.com/CVE-2025-57203/"}