Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:NSummary
CVE-2026-0695 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Connectwise Professional Service Automation. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked at the 17th 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-2026-0695 is a stored cross-site scripting (XSS) vulnerability, classified under CWE-79, affecting ConnectWise PSA versions older than 2026.1. The flaw occurs in the Time Entry Audit Trail, where Time Entry notes are rendered without applying output encoding to certain content. Under specific conditions, this allows stored script code to execute in the context of a user's browser when the affected content is displayed. 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 have low privileges (PR:L), such as a legitimate user with the ability to create or edit Time Entry notes. The attacker injects malicious script into these notes, which are then stored in the Audit Trail. A victim user must interact by viewing the affected Audit Trail content (UI:R), triggering script execution in their browser context. This achieves high confidentiality and integrity effects (C:H/I:H) with a changed scope (S:C), potentially allowing session hijacking, data theft, or unauthorized actions on the victim's behalf.
ConnectWise addressed the issue with a security fix in PSA version 2026.1, as detailed in their security bulletin at https://www.connectwise.com/company/trust/security-bulletins/2026-01-15-psa-security-fix. Additional guidance is available in the advisory from The Missing Link at https://www.themissinglink.com.au/security-advisories/cve-2026-0695. Practitioners should prioritize upgrading affected instances and review these resources for full mitigation details.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-2940
Vulnerability Data
In ConnectWise PSA versions older than 2026.1, Time Entry notes stored in the Time Entry Audit Trail may be rendered without applying output encoding to certain content. Under specific conditions, this may allow stored script code to execute in the…
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context of a user’s browser when the affected content is displayed.
- 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.