CVE-2025-54199: Adobe Substance3D – Modeler · Out-of-bounds Read
Affects Adobe Substance3D – ModelerSource CVE Database V5
Not known to be exploited · CVSS 5.5 Medium.
Data as of 26 Oct 2026, 12:55 UTC
- EPSS
- 0.1% chance of exploitation in 30 days – higher than 9% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:NExploitation evidence
Disclosed: evidence found.
CVE published 12 Aug 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Adobe Substance3D - Modeler | Affected
| Fixed in– |
AI-suggested
To mitigate this vulnerability, European organizations should: 1) Immediately audit and inventory all installations of Adobe Substance3D - Modeler to identify affected versions (1.22.0 and earlier). 2) Restrict the opening of untrusted or unsolicited 3D model files, especially those received via email or external sources. Implement strict file validation and sandboxing where possible. 3) Educate users on the risks of opening files from unknown or unverified sources, emphasizing the need for caution with 3D content files. 4) Monitor Adobe's security advisories closely for the release of patches or updates addressing this vulnerability and prioritize timely deployment once available. 5) Employ endpoint detection and response (EDR) solutions to detect anomalous behavior related to Adobe Substance3D - Modeler processes. 6) Consider network segmentation to isolate systems used for 3D modeling from sensitive corporate networks to limit potential data exposure. 7) Implement data loss prevention (DLP) controls to monitor and prevent unauthorized exfiltration of sensitive design data. These measures go beyond generic advice by focusing on controlling file trust boundaries, user awareness, and proactive monitoring tailored to the specific software and attack vector.
Description
Substance3D - Modeler versions 1.22.0 and earlier are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. Exploitation of this issue requires user interaction in that a victim must open a malicious file.