Cyber Resilience

CVE-2022-4526

Low

Published: 15 December 2022

Published
15 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 0.0041 62.0th percentile
Risk Priority 7 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2022-4526 is a low-severity Improper Neutralization (CWE-707) vulnerability in Django-Photologue Project Django-Photologue. Its CVSS base score is 3.5 (Low).

Operationally, ranked in the top 38.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

A vulnerability was found in django-photologue up to 3.15.1 and classified as problematic. Affected by this issue is some unknown functionality of the file photologue/templates/photologue/photo_detail.html of the component Default Template Handler. The manipulation of the argument object.caption leads to cross…

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site scripting. The attack may be launched remotely. Upgrading to version 3.16 is able to address this issue. The name of the patch is 960cb060ce5e2964e6d716ff787c72fc18a371e7. It is recommended to apply a patch to fix this issue. VDB-215906 is the identifier assigned to this vulnerability.

CWE(s)

Related Threats

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

Affected Assets

django-photologue project
django-photologue
≤ 3.15.1

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-707

Enforces use of documented standards and tool configurations that address proper neutralization of inputs/outputs during development.

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