Reflected XSS in GeoVision IP Camera Web Interface

Multiple reflected cross-site scripting (xss) vulnerabilities exist in the Web Interface / ssi.cgi functionality of GeoVision LPC2011/LPC2211 1.10. A specially crafted malicious url can lead to an arbitrary javascript code execution. An attacker can provide a crafted URL to trigger this vulnerability. Reflected XXS via the error message for requesting non-existing page.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

CVE-2026-7371 is a reflected cross-site scripting (XSS) vulnerability affecting GeoVision LPC2011/LPC2211 IP cameras running firmware version 1.10. The vulnerability exists in the ssi.cgi web interface component, where error messages for non-existent pages fail to properly sanitize user input. An attacker can craft a malicious URL containing JavaScript code that executes in the victim's browser when clicked, potentially leading to credential theft, session hijacking, or further network compromise. This impacts organizations deploying GeoVision surveillance equipment in their security infrastructure, particularly those with internet-facing camera management interfaces.

Casky.ai's 301 mapped skills detect this attack pattern by analyzing indicators across MITRE ATT&CK tactics TA0001 (Reconnaissance) and TA0043 (Reconnaissance), combined with extended reasoning to identify CWE-79 weaknesses. Practitioners using Casky would observe findings highlighting: suspicious URL patterns containing script tags or encoded JavaScript in HTTP requests to ssi.cgi endpoints, error page responses reflecting unsanitized user input, and behavioral signatures of reflected XSS payloads. The platform's skill mapping enables detection of the initial reconnaissance phase where attackers probe for vulnerable parameters, followed by the exploitation technique where malicious URLs are delivered via phishing or watering hole attacks, allowing security teams to identify compromise attempts before successful payload execution.

Live Threat IntelligenceComing soon

Casky Risk Score

—

EPSS Probability

—

Shodan Exposure

—

GreyNoise Signal

—

Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-7371.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

Run

analyzing-campaign-attribution-evidence

threat intelligence · low

Run

analyzing-certificate-transparency-for-phishing

threat intelligence · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-7371

Casky has 301 skills that investigate the attack patterns behind CVE-2026-7371. Run one and get CVSS-scored findings in 3 minutes.

Run the skill that detects this →

X Instagram LinkedIn