Cyber Resilience

CVE-2017-20155

LowPublic PoC

Published: 30 December 2022

Published
30 December 2022
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 3.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:L/A:N
EPSS Score 0.0040 61.1th percentile
Risk Priority 7 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2017-20155 is a low-severity Cross-site Scripting (CWE-79) vulnerability in Sterc Google Analytics Dashboard For Modx. Its CVSS base score is 3.5 (Low).

Operationally, ranked in the top 38.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

EU & UK References

Vulnerability details

A vulnerability was found in Sterc Google Analytics Dashboard for MODX up to 1.0.5. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the file core/components/analyticsdashboardwidget/elements/tpl/widget.analytics.tpl of the component Internal Search. The manipulation leads…

more

to cross site scripting. The attack can be launched remotely. Upgrading to version 1.0.6 is able to address this issue. The identifier of the patch is 855d9560d3782c105568eedf9b22a769fbf29cc0. It is recommended to upgrade the affected component. The identifier VDB-217069 was assigned to this vulnerability.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

sterc
google analytics dashboard for modx
≤ 1.0.5

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-79

Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.

addresses: CWE-79

Validates web inputs to reject script-related content that could produce XSS.

addresses: CWE-79

Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.

References