{"api_version":"1","generated_at":"2026-10-30T22:11:30+00:00","cve":"CVE-2026-119328","urls":{"html":"https://cve.report/CVE-2026-119328","api":"https://cve.report/api/cve/CVE-2026-119328.json","docs":"https://cve.report/api","cve_org":"https://www.cve.org/CVERecord?id=CVE-2026-119328","nvd":"https://nvd.nist.gov/vuln/detail/CVE-2026-119328"},"summary":{"title":"Immich: Unauthenticated filesystem path injection (arbitrary directory write + recursive delete) in the machine-learning service","description":"Immich is a high-performance self-hosted photo and video management solution. Prior to 3.3.0, the unauthenticated machine-learning /predict endpoint in machine-learning/immich_ml/main.py accepted an options object and passed its values into model construction in machine-learning/immich_ml/models/base.py without restricting security-sensitive parameters. An attacker with network access to the service could set cache_dir to an arbitrary writable path, causing model downloads to write there and causing clear_cache() to pass that path to shutil.rmtree() after selected model-loading failures. Depending on filesystem permissions and the selected path, this could modify files in mounted data locations or recursively delete an attacker-selected directory. The model-name allowlist prevents this issue from becoming arbitrary-model deserialization or code execution. This issue is fixed in version 3.3.0.","state":"PUBLISHED","assigner":"GitHub_M","published_at":"2026-10-30 20:17:06","updated_at":"2026-10-30 20:17:06"},"problem_types":["CWE-22","CWE-73","CWE-22 CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')","CWE-73 CWE-73: External Control of File Name or Path"],"metrics":[{"version":"3.1","source":"security-advisories@github.com","type":"Secondary","score":"6.5","severity":"MEDIUM","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L","data":{"version":"3.1","vectorString":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L","baseScore":6.5,"baseSeverity":"MEDIUM","attackVector":"NETWORK","attackComplexity":"LOW","privilegesRequired":"NONE","userInteraction":"NONE","scope":"UNCHANGED","confidentialityImpact":"NONE","integrityImpact":"LOW","availabilityImpact":"LOW"}},{"version":"3.1","source":"CNA","type":"DECLARED","score":"6.5","severity":"MEDIUM","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L","data":{"attackComplexity":"LOW","attackVector":"NETWORK","availabilityImpact":"LOW","baseScore":6.5,"baseSeverity":"MEDIUM","confidentialityImpact":"NONE","integrityImpact":"LOW","privilegesRequired":"NONE","scope":"UNCHANGED","userInteraction":"NONE","vectorString":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L","version":"3.1"}}],"references":[{"url":"https://github.com/immich-app/immich/pull/31856","name":"https://github.com/immich-app/immich/pull/31856","refsource":"security-advisories@github.com","tags":[],"title":"","mime":"","httpstatus":"","archivestatus":"0"},{"url":"https://github.com/immich-app/immich/releases/tag/v3.3.0","name":"https://github.com/immich-app/immich/releases/tag/v3.3.0","refsource":"security-advisories@github.com","tags":[],"title":"","mime":"","httpstatus":"","archivestatus":"0"},{"url":"https://github.com/immich-app/immich/commit/ab159b81182f26a8943f5dd66b719e8cdaad4626","name":"https://github.com/immich-app/immich/commit/ab159b81182f26a8943f5dd66b719e8cdaad4626","refsource":"security-advisories@github.com","tags":[],"title":"","mime":"","httpstatus":"","archivestatus":"0"},{"url":"https://github.com/immich-app/immich/security/advisories/GHSA-72rm-x7xr-v679","name":"https://github.com/immich-app/immich/security/advisories/GHSA-72rm-x7xr-v679","refsource":"security-advisories@github.com","tags":[],"title":"","mime":"","httpstatus":"","archivestatus":"0"},{"url":"https://www.cve.org/CVERecord?id=CVE-2026-119328","name":"CVE Program record","refsource":"CVE.ORG","tags":["canonical"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-119328","name":"NVD vulnerability detail","refsource":"NVD","tags":["canonical","analysis"]}],"affected":[{"source":"CNA","vendor":"immich-app","product":"immich","version":"affected < 3.3.0","platforms":[]}],"timeline":[],"solutions":[],"workarounds":[],"exploits":[],"credits":[],"nvd_cpes":[],"vendor_comments":[],"enrichments":{"kev":null,"epss":null,"legacy_qids":[]},"source_records":{"cve_program":{"containers":{"cna":{"affected":[{"product":"immich","vendor":"immich-app","versions":[{"status":"affected","version":"< 3.3.0"}]}],"descriptions":[{"lang":"en","value":"Immich is a high-performance self-hosted photo and video management solution. 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Prior to 3.3.0, the unauthenticated machine-learning /predict endpoint in machine-learning/immich_ml/main.py accepted an options object and passed its values into model construction in machine-learning/immich_ml/models/base.py without restricting security-sensitive parameters. An attacker with network access to the service could set cache_dir to an arbitrary writable path, causing model downloads to write there and causing clear_cache() to pass that path to shutil.rmtree() after selected model-loading failures. Depending on filesystem permissions and the selected path, this could modify files in mounted data locations or recursively delete an attacker-selected directory. The model-name allowlist prevents this issue from becoming arbitrary-model deserialization or code execution. This issue is fixed in version 3.3.0.","Type":"Description","Title":"Immich: Unauthenticated filesystem path injection (arbitrary dir"}]}}}