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CVE-2026-115924

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

8.6 HighFix available

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.

Attack profile

How easy it is to exploit

Attack vector
Network
Complexity
Low
Privileges needed
None
User interaction
None

What an attacker can affect

Confidentiality
High
Integrity
Low
Availability
Low

Exploit likelihood

0.39%Unchanged since Oct 27, 2026
90%50%10%1%

What each source reports

CVE List Score used 8.6

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

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.

Record
CVE-2026-115924
CVSS 3.1
8.6 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L
Weakness
CWE-22
Updated
2026-11-02
EUVDEUVD-2026-110073 8.6

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.

Record
EUVD-2026-110073
CVSS 3.1
8.6 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L
Updated
2026-11-02
GitHub AdvisoriesGHSA-qr6x-7v33-6qmg 8.6

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

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.

<img width="2172" height="1182" alt="image" src="https://github.com/user-attachments/assets/70aacab1-5ef8-4aad-b30e-e3780adef4d2" />

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.

<img width="2432" height="1254" alt="image" src="https://github.com/user-attachments/assets/99215c39-3619-4952-8f41-5ef2034f7499" />

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

<img width="2858" height="1548" alt="image" src="https://github.com/user-attachments/assets/26322071-101c-41aa-a356-08a4969ef475" />

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.

<img width="1816" height="1146" alt="image" src="https://github.com/user-attachments/assets/664eaf25-5963-4ca6-b7eb-3e198499194a" />

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

Record
GHSA-qr6x-7v33-6qmg
CVSS 3.1
8.6 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L
Weakness
CWE-22
Updated
2026-11-02
NVD 8.6

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.

Record
CVE-2026-115924
CVSS 3.1
8.6 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L
Weakness
CWE-22
Updated
2026-11-02
OSV 8.6

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

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.

Record
CVE-2026-115924
CVSS 3.1
8.6 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L
Weakness
CWE-22
Updated
2026-11-02
OSVGHSA-qr6x-7v33-6qmg 8.6

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

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.

<img width="2172" height="1182" alt="image" src="https://github.com/user-attachments/assets/70aacab1-5ef8-4aad-b30e-e3780adef4d2" />

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.

<img width="2432" height="1254" alt="image" src="https://github.com/user-attachments/assets/99215c39-3619-4952-8f41-5ef2034f7499" />

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

<img width="2858" height="1548" alt="image" src="https://github.com/user-attachments/assets/26322071-101c-41aa-a356-08a4969ef475" />

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.

<img width="1816" height="1146" alt="image" src="https://github.com/user-attachments/assets/664eaf25-5963-4ca6-b7eb-3e198499194a" />

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

Record
GHSA-qr6x-7v33-6qmg
CVSS 3.1
8.6 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L
Weakness
CWE-22
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
rembg
PyPI
before 2.0.82
2.0.82
rembg
PyPI
before 2.0.82, plus listed versions
2.0.282.0.292.0.302.0.312.0.32
Show 45 moreShow less
2.0.332.0.342.0.352.0.362.0.372.0.382.0.392.0.402.0.412.0.432.0.442.0.452.0.462.0.472.0.482.0.492.0.502.0.512.0.522.0.532.0.542.0.552.0.562.0.572.0.582.0.592.0.602.0.612.0.622.0.632.0.642.0.652.0.662.0.672.0.682.0.692.0.702.0.712.0.722.0.732.0.742.0.752.0.762.0.772.0.78
2.0.82

History

History
RecordedChangedSources
first indexedCVE List, EUVD, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2026-115924 is a high vulnerability (CVSS 8.6) in Danielgatis Rembg, published October 26, 2026. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.39%, the 33rd percentile. Fixed in rembg 2.0.82.

References

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Left out here: 3 versions. The JSON record has them.

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