Cyber Resilience

CVE-2026-1696

XSS in Arcinfo Pcvue 12.0.0 – 15.2.13

Published
26 February 2026
Modified
09 July 2026
Patch / advisory
CVSS Score v4 2.3
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:P/VC:N/VI:N/VA:N/SC:L/SI:N/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:X/RE:M/U:Clear
EPSS Score 0.0014 4th percentile
Risk Priority 15 floored blend · peak EPSS

Summary

CVE-2026-1696 is a low-severity Cross-site Scripting (CWE-79) vulnerability in Arcinfo Pcvue. Its CVSS base score is 2.3 (Low).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 4th 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 CM-2 (Baseline Configuration) and CM-6 (Configuration Settings) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Some HTTP security headers are not properly set by the web server when sending responses to the client application.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Why these techniques?

Missing HTTP security headers directly enable XSS (CWE-79) against a public-facing web application, mapping to exploitation of public-facing apps.

Confidence: HIGH · MITRE ATT&CK Enterprise v19.0

CVEs Like This One

CVE-2023-5564Shared CWE-79
CVE-2023-46378Shared CWE-79
CVE-2023-6649Shared CWE-79
CVE-2023-6465Shared CWE-79
CVE-2023-6945Shared CWE-79
CVE-2023-49490Shared CWE-79
CVE-2023-6462Shared CWE-79
CVE-2023-5894Shared CWE-79
CVE-2023-6313Shared CWE-79
CVE-2023-46134Shared CWE-79

Affected Assets

arcinfo
pcvue
12.0.0 — 15.2.13 · 16.0.0 — 16.3.4

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)
  • CM-6 Configuration Settings
  • CM-2 Baseline Configuration
  • SI-10 Information Input Validation
Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V1.1.2
  • V1.3.2

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly requires configuring the web server to set required HTTP security headers (e.g., CSP, X-Content-Type-Options) that mitigate CWE-79 XSS.

prevent

Establishes secure baseline configurations that mandate proper HTTP response headers on all web server deployments.

prevent

Enforces input validation and output encoding at the application layer to block XSS even when security headers are absent.

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.

PR.PS-06 mostly match
prevents

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).

PR.PS-02 partial match
prevents

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.

detects

Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.

prevents

Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.

prevents

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.

prevents

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.

prevents

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.

none

Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.

References