CVE-2025-54197: Out-of-bounds Read (CWE-125) in Adobe Substance3D - Modeler
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.
AI Analysis
Technical Summary
CVE-2025-54197 is an out-of-bounds read vulnerability (CWE-125) found in Adobe Substance3D - Modeler versions 1.22.0 and earlier. This vulnerability allows an attacker to read memory outside the intended buffer boundaries, potentially leading to disclosure of sensitive information stored in adjacent memory regions. The flaw arises when the software processes specially crafted malicious files, which a victim must open for exploitation to occur. The vulnerability does not allow modification of data or denial of service but compromises confidentiality by leaking sensitive memory contents. The CVSS v3.1 base score is 5.5 (medium severity), reflecting that the attack vector requires local access (AV:L), low attack complexity (AC:L), no privileges (PR:N), but user interaction (UI:R) is necessary. The scope remains unchanged (S:U), and the impact is high on confidentiality (C:H) but none on integrity or availability (I:N, A:N). No known exploits are currently reported in the wild, and no patches have been linked yet. Given the nature of the vulnerability, it primarily targets users who open untrusted or maliciously crafted Substance3D - Modeler files, potentially exposing sensitive data such as project details, user credentials, or other in-memory secrets. This vulnerability is significant for organizations relying on Adobe Substance3D - Modeler for 3D content creation, especially in environments where sensitive intellectual property or confidential data is handled within the application.
Potential Impact
For European organizations, the impact of CVE-2025-54197 could be substantial in sectors heavily utilizing 3D modeling and digital content creation, such as media, entertainment, automotive design, and manufacturing. Disclosure of sensitive memory contents could lead to leakage of proprietary designs, confidential project data, or user credentials, potentially facilitating further attacks or industrial espionage. Although the vulnerability requires user interaction and local access, phishing or social engineering campaigns could trick users into opening malicious files, increasing risk. The medium severity score indicates a moderate threat level; however, the confidentiality impact is high, which is critical for organizations subject to strict data protection regulations like GDPR. Unauthorized disclosure of sensitive data could result in regulatory penalties, reputational damage, and loss of competitive advantage. Additionally, the lack of available patches at the time of disclosure means organizations must rely on mitigation strategies until updates are released.
Mitigation Recommendations
To mitigate the risk posed by CVE-2025-54197, European organizations should implement several targeted measures beyond generic advice: 1) Enforce strict file handling policies restricting the opening of Substance3D - Modeler files from untrusted or unknown sources, including email attachments and downloads. 2) Educate users on the risks of opening unsolicited or suspicious 3D model files and implement phishing awareness training tailored to creative teams. 3) Utilize endpoint security solutions capable of sandboxing or scanning 3D model files for malicious content before allowing them to be opened. 4) Monitor and restrict the use of Substance3D - Modeler to trusted personnel and environments, potentially isolating the application in virtualized or containerized setups to limit memory exposure. 5) Maintain up-to-date backups and incident response plans specifically addressing potential data leakage scenarios. 6) Engage with Adobe for timely updates and patches, and plan for rapid deployment once available. 7) Implement Data Loss Prevention (DLP) tools to detect and prevent unauthorized exfiltration of sensitive data that could result from memory disclosure. These steps collectively reduce the attack surface and limit the potential impact of exploitation.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden, Belgium
CVE-2025-54197: Out-of-bounds Read (CWE-125) in Adobe Substance3D - Modeler
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.
AI-Powered Analysis
Technical Analysis
CVE-2025-54197 is an out-of-bounds read vulnerability (CWE-125) found in Adobe Substance3D - Modeler versions 1.22.0 and earlier. This vulnerability allows an attacker to read memory outside the intended buffer boundaries, potentially leading to disclosure of sensitive information stored in adjacent memory regions. The flaw arises when the software processes specially crafted malicious files, which a victim must open for exploitation to occur. The vulnerability does not allow modification of data or denial of service but compromises confidentiality by leaking sensitive memory contents. The CVSS v3.1 base score is 5.5 (medium severity), reflecting that the attack vector requires local access (AV:L), low attack complexity (AC:L), no privileges (PR:N), but user interaction (UI:R) is necessary. The scope remains unchanged (S:U), and the impact is high on confidentiality (C:H) but none on integrity or availability (I:N, A:N). No known exploits are currently reported in the wild, and no patches have been linked yet. Given the nature of the vulnerability, it primarily targets users who open untrusted or maliciously crafted Substance3D - Modeler files, potentially exposing sensitive data such as project details, user credentials, or other in-memory secrets. This vulnerability is significant for organizations relying on Adobe Substance3D - Modeler for 3D content creation, especially in environments where sensitive intellectual property or confidential data is handled within the application.
Potential Impact
For European organizations, the impact of CVE-2025-54197 could be substantial in sectors heavily utilizing 3D modeling and digital content creation, such as media, entertainment, automotive design, and manufacturing. Disclosure of sensitive memory contents could lead to leakage of proprietary designs, confidential project data, or user credentials, potentially facilitating further attacks or industrial espionage. Although the vulnerability requires user interaction and local access, phishing or social engineering campaigns could trick users into opening malicious files, increasing risk. The medium severity score indicates a moderate threat level; however, the confidentiality impact is high, which is critical for organizations subject to strict data protection regulations like GDPR. Unauthorized disclosure of sensitive data could result in regulatory penalties, reputational damage, and loss of competitive advantage. Additionally, the lack of available patches at the time of disclosure means organizations must rely on mitigation strategies until updates are released.
Mitigation Recommendations
To mitigate the risk posed by CVE-2025-54197, European organizations should implement several targeted measures beyond generic advice: 1) Enforce strict file handling policies restricting the opening of Substance3D - Modeler files from untrusted or unknown sources, including email attachments and downloads. 2) Educate users on the risks of opening unsolicited or suspicious 3D model files and implement phishing awareness training tailored to creative teams. 3) Utilize endpoint security solutions capable of sandboxing or scanning 3D model files for malicious content before allowing them to be opened. 4) Monitor and restrict the use of Substance3D - Modeler to trusted personnel and environments, potentially isolating the application in virtualized or containerized setups to limit memory exposure. 5) Maintain up-to-date backups and incident response plans specifically addressing potential data leakage scenarios. 6) Engage with Adobe for timely updates and patches, and plan for rapid deployment once available. 7) Implement Data Loss Prevention (DLP) tools to detect and prevent unauthorized exfiltration of sensitive data that could result from memory disclosure. These steps collectively reduce the attack surface and limit the potential impact of exploitation.
Affected Countries
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- adobe
- Date Reserved
- 2025-07-17T21:15:02.448Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 689ba87aad5a09ad00367c57
Added to database: 8/12/2025, 8:47:54 PM
Last enriched: 8/12/2025, 9:06:51 PM
Last updated: 9/1/2025, 3:03:56 PM
Views: 6
Related Threats
CVE-2025-57148: n/a
UnknownCVE-2025-57146: n/a
UnknownCVE-2025-56608: n/a
UnknownCVE-2025-58644: CWE-502 Deserialization of Untrusted Data in enituretechnology LTL Freight Quotes - TQL Edition
HighCVE-2025-58643: CWE-502 Deserialization of Untrusted Data in enituretechnology LTL Freight Quotes – Daylight Edition
HighActions
Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.
External Links
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.