Cyber Resilience

CVE-2024-4897

Lollms Web Ui ≤ 9.8

Public PoC
Published
02 July 2024
Modified
09 July 2025
Patch / advisory
CVSS Score v3 8.4
Click a component to see what it means
Raw vectorCVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0045 37th percentile
Risk Priority 64 floored blend · peak EPSS

Summary

CVE-2024-4897 is a high-severity Improper Neutralization of Equivalent Special Elements (CWE-76) vulnerability in Lollms Lollms Web Ui. Its CVSS base score is 8.4 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked at the 37th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as LLM Application Platforms; in the Supply Chain and Deployment risk domain.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

parisneo/lollms-webui, in its latest version, is vulnerable to remote code execution due to an insecure dependency on llama-cpp-python version llama_cpp_python-0.2.61+cpuavx2-cp311-cp311-manylinux_2_31_x86_64. The vulnerability arises from the application's 'binding_zoo' feature, which allows attackers to upload and interact with a malicious model file…

more

hosted on hugging-face, leading to remote code execution. The issue is linked to a known vulnerability in llama-cpp-python, CVE-2024-34359, which has not been patched in lollms-webui as of commit b454f40a. The vulnerability is exploitable through the application's handling of model files in the 'bindings_zoo' feature, specifically when processing gguf format model files.

CWE(s)

AI Security AnalysisAI

AI Category
LLM Application Platforms
Risk Domain
Supply Chain and Deployment
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
lollms-webui is a web UI platform for running and interacting with large language models (LLMs) like those using llama-cpp-python, fitting as an 'Other Platforms' category for AI/ML web interfaces and deployment tools.

Related Threats

MITRE ATT&CK Enterprise Techniques

T1059 Command and Scripting Interpreter Execution
Adversaries may abuse command and script interpreters to execute commands, scripts, or binaries.
T1068 Exploitation for Privilege Escalation Privilege Escalation
Adversaries may exploit software vulnerabilities in an attempt to elevate privileges.
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1203 Exploitation for Client Execution Execution
Adversaries may exploit software vulnerabilities in client applications to execute code.
T1210 Exploitation of Remote Services Lateral Movement
Adversaries may exploit remote services to gain unauthorized access to internal systems once inside of a network.
T1212 Exploitation for Credential Access Credential Access
Adversaries may exploit software vulnerabilities in an attempt to collect credentials.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-2366Same product: Lollms Lollms Web Ui
CVE-2024-2359Same product: Lollms Lollms Web Ui
CVE-2024-1520Same product: Lollms Lollms Web Ui
CVE-2024-3126Same product: Lollms Lollms Web Ui
CVE-2024-3322Same product: Lollms Lollms Web Ui
CVE-2024-6959Same product: Lollms Lollms Web Ui
CVE-2024-4498Same product: Lollms Lollms Web Ui
CVE-2024-2548Same product: Lollms Lollms Web Ui
CVE-2024-1873Same product: Lollms Lollms Web Ui
CVE-2024-5482Same product: Lollms Lollms Web Ui

Affected Assets

lollms
lollms web ui
≤ 9.8

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

SA-11 requires developer testing and evaluation that can discover failures to neutralize equivalent special elements.

SI-10 requires validation of information inputs, directly stopping incomplete neutralization of equivalent special elements.

SA-8 mandates security engineering principles such as complete input validation and sanitization that cover equivalent special-element forms.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly require consistent neutralization of all equivalent special elements during input validation and sanitization.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

finds

Security testing can detect incomplete neutralization but does not prevent the weakness itself.

prevents

Secure development life cycle mandates input validation and neutralization of all equivalent special elements.

prevents

Application security requirements include rules for handling special characters and equivalent encodings.

prevents

Secure system architecture principles require consistent canonicalization and neutralization of equivalent inputs.

prevents

Secure coding standards directly address proper neutralization of all equivalent special elements.

References