CVE-2026-115924

Rembg: Unauthenticated SAM model injection permits local-file disclosure through malicious ONNX graphs

State
Published
Severity
8.6 High
Published
Oct 26, 2026
Updated
Oct 31, 2026
Reserved
Oct 23, 2026

Read the record on cve.org

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.

Scores

CVSSScoreVectorSource
3.18.6 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:LGitHub_M

Weaknesses

  • CWE-22 Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Affected Products

ProductVersions
rembgdanielgatis
  • < 2.0.82Affected

References

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