Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:NSummary
CVE-2025-10553 is a high-severity Cross-site Scripting (CWE-79) vulnerability in 3Ds 3Dexperience. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked at the 6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-10553 is a Stored Cross-site Scripting (XSS) vulnerability, mapped to CWE-79, affecting the Factory Resource Management component in DELMIA Factory Resource Manager. The issue impacts releases from 3DEXPERIENCE R2023x through 3DEXPERIENCE R2025x. It allows an attacker to execute arbitrary script code within a user's browser session. The vulnerability carries a CVSS v3.1 base score of 8.7 (AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:N), indicating high severity due to network accessibility, low attack complexity, and significant confidentiality and integrity impacts.
Exploitation requires an attacker to possess low privileges (PR:L) within the affected system. The attacker can inject a malicious script payload that persists and executes when a victim user with browser access interacts with the tainted resource (UI:R), such as viewing it over the network (AV:N). Due to the scope change to cross-origin (S:C), successful exploitation grants the script the privileges of the victim's session, enabling high-impact theft of sensitive data or manipulation of the application (C:H/I:H) without affecting availability (A:N).
The vendor's security advisory at https://www.3ds.com/trust-center/security/security-advisories/cve-2025-10553 provides details on mitigation and patching guidance for this vulnerability.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-209134
Vulnerability Data
A Stored Cross-site Scripting (XSS) vulnerability affecting Factory Resource Management in DELMIA Factory Resource Manager from Release 3DEXPERIENCE R2023x through Release 3DEXPERIENCE R2025x allows an attacker to execute arbitrary script code in user's browser session.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.1.2V1.3.2
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover missing or incorrect input neutralization through targeted web-application tests.
Input validation directly enforces neutralization of untrusted data before it reaches web output generation.
Output filtering can catch or sanitize unneutralized script content before it is served to users.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly target introduction of XSS via coding standards/testing (mostly), yet the single broad outcome leaves many specific neutralization vectors unaddressed (partial).
Patching and EOL replacement can remediate known XSS instances in libraries or frameworks (partial) but do nothing to enforce input neutralization in application code (none).
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.
Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.
Operational indicators of compromise for web-application attacks can be incorporated into WAF or input-filtering rules, lowering the likelihood that unsanitized data reaches the browser.
Requiring language-specific secure-coding standards and automated scanning during the SDLC catches missing output encoding or improper neutralization of untrusted data before the software reaches production.
Secure-coding standards, SAST scans and removal of insecure code samples together eliminate the failure to neutralize script content that produces cross-site scripting flaws.
Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.