CVE-2025-0443
XSS in Google Chrome ≤ 132.0.6834.83
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2025-0443 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Google Chrome. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked at the 37th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
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-2025-0443 is an insufficient data validation vulnerability affecting the Extensions component in Google Chrome prior to version 132.0.6834.83. Published on 2025-01-15, it enables a remote attacker to perform privilege escalation via a crafted HTML page after convincing a user to engage in specific UI gestures. The flaw is associated with CWE-79 (Cross-site Scripting) and carries a CVSS v3.1 base score of 8.8 (AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H), rated as Medium severity by Chromium security.
A remote attacker requires no privileges and can exploit this over the network with low attack complexity, though it depends on user interaction via targeted UI gestures. Successful exploitation grants high-impact access to confidentiality, integrity, and availability, allowing privilege escalation within the browser context.
Google's stable channel update for desktop, announced at https://chromereleases.googleblog.com/2025/01/stable-channel-update-for-desktop_14.html, patches the issue in Chrome 132.0.6834.83. Additional details are available in the Chromium issue tracker at https://issues.chromium.org/issues/376625003. Security practitioners should prioritize updating affected Chrome installations to mitigate exploitation risk.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-1675
Vulnerability Data
Insufficient data validation in Extensions in Google Chrome prior to 132.0.6834.83 allowed a remote attacker who convinced a user to engage in specific UI gestures to perform privilege escalation via a crafted HTML page. (Chromium security severity: Medium)
- 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.