What is the CVSS score of CVE-2015-2681?

CVE-2015-2681 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%.

Is there a public PoC exploit available for CVE-2015-2681?

Yes, a public proof-of-concept exploit is available for CVE-2015-2681. Prioritise patching immediately. EPSS: 0.3%.

Rt G32 Firmware CVE-2015-2681

MEDIUM

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

2015-03-23 cve@mitre.org

XSS Rt G32 Firmware

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

Mar 23, 2015 - 16:59 cve.org

MEDIUM 4.3

DescriptionCVE.org

Multiple cross-site scripting (XSS) vulnerabilities in the ASUS RT-G32 routers with firmware 2.0.2.6 and 2.0.3.2 allow remote attackers to inject arbitrary web script or HTML via the (1) next_page, (2) group_id, (3) action_script, or (4) flag parameter to start_apply.htm.

AnalysisAI

Multiple cross-site scripting (XSS) vulnerabilities in the ASUS RT-G32 routers with firmware 2.0.2.6 and 2.0.3.2 allow remote attackers to inject arbitrary web script or HTML via the (1) next_page,. Rated medium severity (CVSS 4.3), this vulnerability is remotely exploitable. Public exploit code available and 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. Multiple cross-site scripting (XSS) vulnerabilities in the ASUS RT-G32 routers with firmware 2.0.2.6 and 2.0.3.2 allow remote attackers to inject arbitrary web script or HTML via the (1) next_page, (2) group_id, (3) action_script, or (4) flag parameter to start_apply.htm. Affected products include: Asus Rt-G32 Firmware.

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.