Adobe Substance3D Stager up to 3.1.6 File Parser out-of-bounds

| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Adobe Substance3D Stager up to 3.1.6. This affects an unknown part of the component File Parser. The manipulation leads to out-of-bounds. This vulnerability is uniquely identified as CVE-2026-21345. The attack is possible to be carried out remotely. No exploit exists. You should upgrade the affected component.
Details
A vulnerability was found in Adobe Substance3D Stager up to 3.1.6. It has been rated as critical. This issue affects some unknown functionality of the component File Parser. The manipulation with an unknown input leads to a out-of-bounds vulnerability. Using CWE to declare the problem leads to CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Substance3D - Stager versions 3.1.6 and earlier are affected by an out-of-bounds read vulnerability when parsing a crafted file, which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to execute code in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
It is possible to read the advisory at helpx.adobe.com. The identification of this vulnerability is CVE-2026-21345 since 12/12/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.
The vulnerability scanner Nessus provides a plugin with the ID 298882 (Adobe Substance 3D Stager < 3.1.7 Multiple Vulnerabilities (APSB26-20)), which helps to determine the existence of the flaw in a target environment.
Upgrading eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at Tenable (298882). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.adobe.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.0VulDB Meta Temp Score: 6.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.8
CNA Vector (adobe): 🔒
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 |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Out-of-boundsCWE: CWE-125 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 298882
Nessus Name: Adobe Substance 3D Stager < 3.1.7 Multiple Vulnerabilities (APSB26-20)
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Timeline
12/12/2025 CVE reserved02/10/2026 Advisory disclosed
02/10/2026 VulDB entry created
02/13/2026 VulDB entry last update
Sources
Vendor: adobe.comAdvisory: apsb26-20
Status: Confirmed
CVE: CVE-2026-21345 (🔒)
GCVE (CVE): GCVE-0-2026-21345
GCVE (VulDB): GCVE-100-345347
Entry
Created: 02/10/2026 20:02Updated: 02/13/2026 12:19
Changes: 02/10/2026 20:02 (64), 02/13/2026 12:19 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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