What is the CVSS score of CVE-2015-7772?

CVE-2015-7772 has a CVSS 2.0 base score of 4.3 (Medium). CVSS vector: AV:N/AC:M/Au:N/C:N/I:P/A:N. EPSS exploitation probability: 0.3%.

Applican CVE-2015-7772

MEDIUM

Cross-site Scripting (XSS) (CWE-79)

2015-11-20 vultures@jpcert.or.jp

XSS Apple Google Applican

4.3

CVSS 2.0 · NVD

Severity by source

NVD PRIMARY

4.3 MEDIUM

AV:N/AC:M/Au:N/C:N/I:P/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

AV:N/AC:M/Au:N/C:N/I:P/A:N

Attack Vector

Network

Attack Complexity

Confidentiality

None

Integrity

Availability

None

Lifecycle Timeline

CVE Published

Nov 20, 2015 - 03:59 cve.org

MEDIUM 4.3

DescriptionCVE.org

Cross-site scripting (XSS) vulnerability in the runtime engine in the Newphoria applican framework before 1.13.0 for Android and iOS allows remote attackers to inject arbitrary web script or HTML via a crafted URL that triggers WebView anchor attachment in an applican application, a different vulnerability than CVE-2015-7771.

AnalysisAI

Cross-site scripting (XSS) vulnerability in the runtime engine in the Newphoria applican framework before 1.13.0 for Android and iOS allows remote attackers to inject arbitrary web script or HTML via. Rated medium severity (CVSS 4.3), this vulnerability is remotely exploitable. No vendor patch available.

Technical ContextAI

This vulnerability is classified as Cross-Site Scripting (XSS) (CWE-79), which allows attackers to inject malicious scripts into web pages viewed by other users. Cross-site scripting (XSS) vulnerability in the runtime engine in the Newphoria applican framework before 1.13.0 for Android and iOS allows remote attackers to inject arbitrary web script or HTML via a crafted URL that triggers WebView anchor attachment in an applican application, a different vulnerability than CVE-2015-7771. Affected products include: Newphoria Corporation Applican. Version information: before 1.13.0.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Sanitize all user input, use Content-Security-Policy headers, encode output contextually (HTML, JS, URL). Use frameworks with built-in XSS protection.