Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:N/SC:L/SI:L/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:Y/R:U/V:D/RE:M/U:AmberSummary
CVE-2025-3019 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Knime Business Hub. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked at the 18th 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-2025-3019 is a set of cross-site scripting (XSS) vulnerabilities, classified under CWE-79, affecting KNIME Business Hub web pages. These flaws stem from a bug in the widely used nuxt-security module, as documented in GitHub issue #610. The vulnerabilities have a CVSS v3.1 base score of 7.2 (AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:N), indicating high severity due to network accessibility, low attack complexity, no required privileges, and cross-origin impact with limited confidentiality and integrity effects.
Attackers can exploit these XSS issues by crafting malicious links or web pages that, when accessed by a legitimate KNIME Business Hub user, trigger execution of arbitrary JavaScript in the victim's browser context. This grants the script the user's permissions, potentially enabling theft, loss, or modification of sensitive data within the application. No authentication is needed on the attacker's side, making it feasible for remote unauthenticated actors to target users via phishing or malicious sites.
The KNIME security advisory provides no viable workarounds and urges immediate updates to KNIME Business Hub version 1.13.3 or later, or 1.12.4 or later for affected branches. Full details are available at https://www.knime.com/security/advisories#CVE-2025-3019.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-8727
Vulnerability Data
KNIME Business Hub is affected by several cross-site scripting vulnerabilities in its web pages. If a user clicks on a malicious link or opens a malicious web page, arbitrary Java Script may be executed with this user's permissions. This can…
more
lead to information loss and/or modification of existing data. The issues are caused by a bug https://github.com/Baroshem/nuxt-security/issues/610 in the widely used nuxt-security module. There are no viable workarounds therefore we strongly recommend to update to one of the following versions of KNIME Business Hub: * 1.13.3 or later * 1.12.4 or later
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
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.