ImprintLab Medical-SAM-Adapter 0.1.0/0.1.0-alpha AutoBackend Model Loading autobackend.py session.get_modelmeta.custom_metadata_map imgsz/names/kpt_shape eval injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.6 | $0-$5k | 3.91 |
Summary
A vulnerability was found in ImprintLab Medical-SAM-Adapter 0.1.0/0.1.0-alpha. It has been rated as problematic. This affects the function session.get_modelmeta.custom_metadata_map of the file models/MobileSAMv2/ultralytics/nn/autobackend.py of the component AutoBackend Model Loading. This manipulation of the argument imgsz/names/kpt_shape causes eval injection.
This vulnerability appears as CVE-2026-111212. The attack requires local access. In addition, an exploit is available.
The project was informed of the problem early through an issue report but has not responded yet.
Details
A vulnerability has been found in ImprintLab Medical-SAM-Adapter 0.1.0/0.1.0-alpha and classified as problematic. Affected by this vulnerability is the function session.get_modelmeta.custom_metadata_map of the file models/MobileSAMv2/ultralytics/nn/autobackend.py of the component AutoBackend Model Loading. The manipulation of the argument imgsz/names/kpt_shape with an unknown input leads to a eval injection vulnerability. The CWE definition for the vulnerability is CWE-95. The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes code syntax before using the input in a dynamic evaluation call (e.g. "eval"). As an impact it is known to affect confidentiality, integrity, and availability.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-111212. The exploitation appears to be easy. Attacking locally is a requirement. It demands that the victim is doing some kind of user interaction. Technical details and also a public exploit are known.
It is possible to download the exploit at github.com. It is declared as proof-of-concept. The project was informed of the problem early through an issue report but has not responded yet.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.8VulDB Meta Temp Score: 4.6
VulDB Base Score: 4.8
VulDB Temp Score: 4.6
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Eval injectionCWE: CWE-95 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Partially
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
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: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
10/15/2026 Advisory disclosed10/15/2026 VulDB entry created
10/15/2026 VulDB entry last update
Sources
Product: github.comAdvisory: 145
Status: Confirmed
CVE: CVE-2026-111212 (🔒)
GCVE (CVE): GCVE-0-2026-111212
GCVE (VulDB): GCVE-100-420763
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 10/15/2026 20:18Changes: 10/15/2026 20:18 (60)
Complete: 🔍
Submitter: Dem00000
Cache ID: 216::103
Submit
Accepted
- Submit #1004881: ImprintLab Medical-SAM-Adapter up to main commit 5888e722876511f177e8e762498a7986753b7f7d (vendors ultralytics 8.0.120) Code Injection (by Dem00000)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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