Cyber Resilience

CVE-2023-40172

Medium

Published: 18 August 2023

Published
18 August 2023
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 6.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N
EPSS Score 0.0007 21.4th percentile
Risk Priority 13 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-40172 is a medium-severity CSRF (CWE-352) vulnerability in Fobybus Social-Media-Skeleton. Its CVSS base score is 6.5 (Medium).

Operationally, ranked at the 21.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Social media skeleton is an uncompleted/framework social media project implemented using a php, css ,javascript and html. A Cross-site request forgery (CSRF) attack is a type of malicious attack whereby an attacker tricks a victim into performing an action on…

more

a website that they do not intend to do. This can be done by sending the victim a malicious link or by exploiting a vulnerability in the website. Prior to version 1.0.5 Social media skeleton did not properly restrict CSRF attacks. This has been addressed in version 1.0.5 and all users are advised to upgrade. There are no known workarounds for this vulnerability.

CWE(s)

Related Threats

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

Affected Assets

fobybus
social-media-skeleton
≤ 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-352

Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.

addresses: CWE-352

Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.

addresses: CWE-352

Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.

addresses: CWE-352

Detects anomalous request patterns consistent with cross-site request forgery.

References