{"answers":{"affected":"","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2024-45989 exists.","fix":"No fix has been published for CVE-2024-45989 yet. Limit exposure of the affected software until one is available.","what":"CVE-2024-45989 is a medium-severity vulnerability in n/a, published on 26 Sep 2024. It can only be exploited from the same machine or local network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2024-45989 and fix it if it is affected.\n\nWhat it is: CVE-2024-45989 is a medium-severity vulnerability in n/a, published on 26 Sep 2024. It can only be exploited from the same machine or local network, with no action from the victim.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2024-45989 exists.\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-2024-45989/ (Markdown: https://insights.sbomify.com/CVE-2024-45989/index.md)","id":"CVE-2024-45989","markdown":"https://insights.sbomify.com/CVE-2024-45989/index.md","name":"CVE-2024-45989","record":{"aliases":["GHSA-7w3c-jwh7-4486"],"analysis":{"component_type":"desktop_application","fix_type":"no_fix_stated","impacts":["data_read"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"Monica AI Assistant","requires_auth":"none","summary":"Attackers can exfiltrate sensitive chat data via prompt injection in Monica AI Assistant, exposing user sessions to third parties.","user_interaction":"not_required","vuln_class":"information_disclosure"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"mitre","cpe":[],"cvss":{"score":4,"severity":"medium","source":"cisa-adp","vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N","version":"3.1"},"cwes":[{"id":"CWE-77","name":"Improper Neutralization of Special Elements used in a Command"}],"description":"Monica AI Assistant desktop application v2.3.0 is vulnerable to Exposure of Sensitive Information to an Unauthorized Actor. A prompt injection allows an attacker to modify chatbot answer with an unloaded image that exfiltrates the user's sensitive chat data of the current session to a malicious third-party or attacker-controlled server.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":null,"headline":"Information disclosure in n/a","id":"CVE-2024-45989","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"information_disclosure","year":"2024"},"n_packages":0,"n_references":2,"next":{"headline":"Memory corruption in n/a","id":"CVE-2024-45993"},"packages":[],"prev":{"headline":"Cross-site request forgery in n/a","id":"CVE-2024-45987"},"products":["n/a"],"published":"2024-09-26","related":[],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"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":"partial"},"state":"PUBLISHED","updated":"2024-09-27","vendors":["n/a"]},"summary":"Attackers can exfiltrate sensitive chat data via prompt injection in Monica AI Assistant, exposing user sessions to third parties.","url":"https://insights.sbomify.com/CVE-2024-45989/"}