danielgatis rembg up to 2.0.81 SAM Sessions rembg/sessions/sam.py pooch.retrieve sam_model path traversal
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.8 | $0-$5k | 1.61- |
Summary
A vulnerability identified as critical has been detected in danielgatis rembg up to 2.0.81. Affected by this issue is the function pooch.retrieve of the file rembg/sessions/sam.py of the component SAM Sessions. Performing a manipulation of the argument sam_model results in path traversal.
This vulnerability was named CVE-2026-115924. The attack may be initiated remotely. There is no available exploit.
You should upgrade the affected component.
Details
A vulnerability, which was classified as critical, was found in danielgatis rembg up to 2.0.81. This affects the function pooch.retrieve of the file rembg/sessions/sam.py of the component SAM Sessions. The manipulation of the argument sam_model with an unknown input leads to a path traversal vulnerability. CWE is classifying the issue as CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
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.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-115924 since 10/23/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1006 according to MITRE ATT&CK.
Upgrading to version 2.0.82 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
- 2.0.0
- 2.0.1
- 2.0.2
- 2.0.3
- 2.0.4
- 2.0.5
- 2.0.6
- 2.0.7
- 2.0.8
- 2.0.9
- 2.0.10
- 2.0.11
- 2.0.12
- 2.0.13
- 2.0.14
- 2.0.15
- 2.0.16
- 2.0.17
- 2.0.18
- 2.0.19
- 2.0.20
- 2.0.21
- 2.0.22
- 2.0.23
- 2.0.24
- 2.0.25
- 2.0.26
- 2.0.27
- 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
- 2.0.42
- 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
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.9VulDB Meta Temp Score: 7.8
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 8.6
CNA Vector (GitHub_M): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Path traversalCWE: CWE-22
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: rembg 2.0.82
Timeline
10/23/2026 CVE reserved10/26/2026 Advisory disclosed
10/26/2026 VulDB entry created
10/26/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-115924 (🔒)
GCVE (CVE): GCVE-0-2026-115924
GCVE (VulDB): GCVE-100-426603
Entry
Created: 10/26/2026 20:41Changes: 10/26/2026 20:41 (67)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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