GHSA-qr6x-7v33-6qmg

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Source
https://github.com/advisories/GHSA-qr6x-7v33-6qmg
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2026/10/GHSA-qr6x-7v33-6qmg/GHSA-qr6x-7v33-6qmg.json
JSON Data
https://api.osv.dev/v1/vulns/GHSA-qr6x-7v33-6qmg
Aliases
Published
2026-10-27T14:45:36Z
Modified
2026-10-27T15:00:05Z
Severity
  • 8.6 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L CVSS Calculator
Summary
Rembg: Unauthenticated SAM model injection permits local-file disclosure through malicious ONNX graphs
Details

The public /api/remove endpoint uses attacker-controlled extras.sam_model in both SAM filenames and GitHub download URLs. Path traversal plus a URL fragment lets an unauthenticated attacker place malicious ONNX models beside a target file. The models read the file as ONNX external data and encode its bytes into the returned PNG.

This issue affects SAM's sam_model in 2.0.81 and returns complete file contents.

image

Screenshot 1 — First unauthenticated request primes the path and returns HTTP 500.

Technical details

rembg/commands/s_command.py:188-223,384-397 accepts public extras JSON and passes it to new_session(). rembg/sessions/sam.py:313-355 inserts sam_model into encoder/decoder filenames and fixed GitHub URLs, then invokes pooch.retrieve() without a pinned hash.

Requests removes the URL #fragment; the local POSIX path retains it. Pooch creates attacker-selected parent directories without enforcing cache containment. The first request creates the path tree and returns HTTP 500. The identical second request downloads the attacker asset twice and stores it as both SAM models beside the target.

The graph uses a relative external tensor to read the target and maps every byte to mask pixels. rembg returns the mask as a PNG, which the attacker decodes back into the original bytes.

image

Screenshot 2 — The identical second request returns HTTP 200 with an encoded PNG.

image

Proof of concept

The attached loopback-only PoC produced:

VULNERABLE: unauthenticated SAM model injection disclosed the synthetic /flag
first-http=500 second-http=200
decoded-value=REMBG_AUDIT_SYNTHETIC_FLAG_2026_08_28

The /etc/passwd variant produced:

VULNERABLE: disclosed /etc/passwd (839 bytes)
root:x:0:0:root:/root:/bin/bash
daemon:x:1:1:daemon:/usr/sbin:/usr/sbin/nologin
...
nobody:x:65534:65534:nobody:/nonexistent:/usr/sbin/nologin

The decoded contents matched /etc/passwd inside the owned container. Testing used a local TLS stand-in for GitHub; no public target was contacted.

image

Screenshot 3 — The decoder reconstructs all 839 bytes of /etc/passwd.

Impact

An unauthenticated attacker can execute arbitrary ONNX computation and disclose complete files that rembg can reach under the required filesystem permissions. The supplied root-running container exposed both /flag and /etc/passwd.

Remediation

Allow only fixed SAM identifiers mapped server-side to fixed filenames, URLs, and pinned hashes. Reject path and URL syntax; canonicalize destinations and enforce cache containment before creating directories. Run the container as a non-root user with a read-only root filesystem.

decode_samfragment_png.py samfragment_04.py samfragment_etc_passwd_lab.py

Database specific
{
    "cwe_ids":  [
        "CWE-22"
    ],
    "github_reviewed":  true,
    "github_reviewed_at":  "2026-10-27T14:45:36Z",
    "nvd_published_at":  "2026-10-26T20:17:52Z",
    "severity":  "HIGH"
}
References

Affected packages

PyPI / rembg

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0 Unknown introduced version / All previous versions are affected
Fixed
2.0.82

Affected versions

2.*
2.0.28
2.0.29
2.0.30
2.0.31
2.0.32
2.0.33
2.0.34
2.0.35
2.0.36
2.0.37
2.0.38
2.0.39
2.0.40
2.0.41
2.0.43
2.0.44
2.0.45
2.0.46
2.0.47
2.0.48
2.0.49
2.0.50
2.0.51
2.0.52
2.0.53
2.0.54
2.0.55
2.0.56
2.0.57
2.0.58
2.0.59
2.0.60
2.0.61
2.0.62
2.0.63
2.0.64
2.0.65
2.0.66
2.0.67
2.0.68
2.0.69
2.0.70
2.0.71
2.0.72
2.0.73
2.0.74
2.0.75
2.0.76
2.0.77
2.0.78
2.0.79
2.0.80
2.0.81

Database specific

source
"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2026/10/GHSA-qr6x-7v33-6qmg/GHSA-qr6x-7v33-6qmg.json"