{"answers":{"affected":"3 open source packages ship an affected version, including local-deep-research. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-67743 exists.","fix":"Upgrade local-deep-research to 1.3.9 or later.","what":"CVE-2025-67743 is a medium-severity server-side request forgery vulnerability in LearningCircuit local-deep-research, published on 23 Dec 2025. Any signed-in user can exploit it over the network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2025-67743 and fix it if it is affected.\n\nWhat it is: CVE-2025-67743 is a medium-severity server-side request forgery vulnerability in LearningCircuit local-deep-research, published on 23 Dec 2025. Any signed-in user can exploit it over the network, with no action from the victim.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-67743 exists.\n\nAffected packages and fixed versions:\n- local-deep-research (PyPI): affected from 1.3.0; fixed in 1.3.9\n- local-deep-research (PyPI): affected from 1.3.0; fixed in 1.3.9\n- local-deep-research (PyPI): affected from 1.3.0; fixed in 1.3.9\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-2025-67743/ (Markdown: https://insights.sbomify.com/CVE-2025-67743/index.md)","id":"CVE-2025-67743","markdown":"https://insights.sbomify.com/CVE-2025-67743/index.md","name":"CVE-2025-67743","record":{"aliases":["GHSA-9c54-gxh7-ppjc","PYSEC-2026-1581"],"analysis":{"component_type":"web_application","fix_type":"upgrade","impacts":["data_read","security_bypass"],"network_reachable":"yes","non_default_config":false,"product_category":"AI research assistant","requires_auth":"low_privilege","summary":"Attackers can exploit SSRF in the download service to access internal networks and cloud metadata by submitting malicious URLs.","user_interaction":"not_required","vuln_class":"ssrf"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"local_deep_research","vendor":"learningcircuit"}],"cvss":{"score":6.3,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:N/A:N","version":"3.1"},"cwes":[{"id":"CWE-918","name":"Server-Side Request Forgery"}],"description":"Local Deep Research is an AI-powered research assistant for deep, iterative research. In versions from 1.3.0 to before 1.3.9, the download service (download_service.py) makes HTTP requests using raw requests.get() without utilizing the application's SSRF protection (safe_requests.py). This can allow attackers to access internal services and attempt to reach cloud provider metadata endpoints (AWS/GCP/Azure), as well as perform internal network reconnaissance, by submitting malicious URLs through the API, depending on the deployment and surrounding controls. This issue has been patched in version 1.3.9.","ecosystems":["PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":true,"headline":"Local Deep Research is Vulnerable to Server-Side Request Forgery (SSRF) in Download Service","id":"CVE-2025-67743","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"ssrf","year":"2025"},"n_packages":3,"n_references":2,"next":{"headline":"Mermaid XSS vulnerability leads to Remote Code Execution","id":"CVE-2025-67744"},"packages":[{"ecosystem":"PyPI","fixed":["1.3.9"],"introduced":["1.3.0"],"last_affected":[],"package":"local-deep-research","purl":null,"source":"GHSA-9c54-gxh7-ppjc"},{"ecosystem":"PyPI","fixed":["1.3.9"],"introduced":["1.3.0"],"last_affected":[],"package":"local-deep-research","purl":"pkg:pypi/local-deep-research","source":"GHSA-9c54-gxh7-ppjc"},{"ecosystem":"PyPI","fixed":["1.3.9"],"introduced":["1.3.0"],"last_affected":[],"package":"local-deep-research","purl":"pkg:pypi/local-deep-research","source":"PYSEC-2026-1581"}],"prev":{"headline":"Path traversal in TeamCity","id":"CVE-2025-67742"},"products":["local-deep-research"],"published":"2025-12-23","related":[],"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":"no","exploitation":"poc","technical_impact":"partial"},"state":"PUBLISHED","updated":"2025-12-23","vendors":["LearningCircuit"]},"summary":"Attackers can exploit SSRF in the download service to access internal networks and cloud metadata by submitting malicious URLs.","url":"https://insights.sbomify.com/CVE-2025-67743/"}