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.
Fix
Nothing published yet: no patch, vendor advisory or mitigation reference on NVD, no vendor advisory in the News for this CVE, not in CISA's KEV, no fixed package version. BaselineWatch does not guess at one.
Change history 1
- First seenCVSS 6.5 · immich-appNVD modified 2026-10-30 19:50
Affected (CPE criteria) 0
NVD has not attached CPE configurations yet.
References 4
- https://github.com/immich-app/immich/security/advisories/GHSA-72rm-x7xr-v679 x_refsource_confirm
- https://github.com/immich-app/immich/pull/31856 x_refsource_misc
- https://github.com/immich-app/immich/commit/ab159b81182f26a8943f5dd66b719e8cdaad4626 x_refsource_misc
- https://github.com/immich-app/immich/releases/tag/v3.3.0 x_refsource_misc