Rembg is a tool to remove images background. Prior to 2.0.82, the public /api/remove endpoint passes attacker-controlled extras.sam_model through rembg/commands/s_command.py to rembg/sessions/sam.py, where it is interpolated into SAM filenames and GitHub download URLs passed to pooch.retrieve() without a pinned hash. An unauthenticated attacker can supply a sam_model value combining path traversal with URL fragment syntax to exploit the HTTP request discarding the fragment while the local POSIX path retains it. The first request primes the attacker-selected path tree, and an identical repeated request downloads malicious ONNX encoder and decoder files beside a readable target file. The graphs can load the target through ONNX external data and encode its bytes into the returned PNG mask, disclosing complete files accessible to the rembg process and allowing arbitrary ONNX computation. This issue is fixed in version 2.0.82.
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Fixes
Solution
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Workaround
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References
History
Mon, 26 Oct 2026 21:00:00 +0000
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Danielgatis
Danielgatis rembg |
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Danielgatis
Danielgatis rembg |
Mon, 26 Oct 2026 19:30:00 +0000
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| Description | Rembg is a tool to remove images background. Prior to 2.0.82, the public /api/remove endpoint passes attacker-controlled extras.sam_model through rembg/commands/s_command.py to rembg/sessions/sam.py, where it is interpolated into SAM filenames and GitHub download URLs passed to pooch.retrieve() without a pinned hash. An unauthenticated attacker can supply a sam_model value combining path traversal with URL fragment syntax to exploit the HTTP request discarding the fragment while the local POSIX path retains it. The first request primes the attacker-selected path tree, and an identical repeated request downloads malicious ONNX encoder and decoder files beside a readable target file. The graphs can load the target through ONNX external data and encode its bytes into the returned PNG mask, disclosing complete files accessible to the rembg process and allowing arbitrary ONNX computation. This issue is fixed in version 2.0.82. | |
| Title | Rembg: Unauthenticated SAM model injection permits local-file disclosure through malicious ONNX graphs | |
| Weaknesses | CWE-22 | |
| References |
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| Metrics |
cvssV3_1
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Projects
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Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2026-10-26T19:22:52.720Z
Reserved: 2026-10-23T20:21:45.107Z
Link: CVE-2026-115924
No data.
Status : Received
Published: 2026-10-26T20:17:52.250
Modified: 2026-10-26T20:17:52.250
Link: CVE-2026-115924
No data.
OpenCVE Enrichment
Updated: 2026-10-26T20:45:13Z
Weaknesses