Cyber Resilience

CVE-2024-8736

MediumPublic PoC

Published: 20 March 2025

Published
20 March 2025
Modified
04 April 2025
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:N/A:H
EPSS Score 0.0025 48.1th percentile
Risk Priority 13 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-8736 is a medium-severity CSRF (CWE-352) vulnerability in Lollms Lollms Web Ui. Its CVSS base score is 6.5 (Medium).

Operationally, ranked at the 48.1th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

EU & UK References

Vulnerability details

A Denial of Service (DoS) vulnerability exists in multiple file upload endpoints of parisneo/lollms-webui version V12 (Strawberry). The vulnerability can be exploited remotely via Cross-Site Request Forgery (CSRF). Despite CSRF protection preventing file uploads, the application still processes multipart boundaries,…

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leading to resource exhaustion. By appending additional characters to the multipart boundary, an attacker can cause the server to parse each byte of the boundary, ultimately leading to service unavailability. This vulnerability is present in the `/upload_avatar`, `/upload_app`, and `/upload_logo` endpoints.

CWE(s)

Related Threats

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

Affected Assets

lollms
lollms web ui
12

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