VDB-294921 · CVE-2024-55241 · EUVD-2024-52758

deep-diver LLM-As-Chatbot modelsbyom.py privilege escalation

CVSS Meta Temp Score CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.	Current Exploit Price (≈) Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.	CTI Interest Score Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.0	$0-$5k	0.00

Summaryinfo

A vulnerability marked as critical has been reported in deep-diver LLM-As-Chatbot. Affected by this vulnerability is an unknown functionality of the file modelsbyom.py. Performing a manipulation results in Remote Privilege Escalation. This vulnerability is identified as CVE-2024-55241. The attack can be initiated remotely. There is not any exploit available. It is suggested to install a patch to address this issue.

Detailsinfo

A vulnerability classified as critical has been found in deep-diver LLM-As-Chatbot (the affected version is unknown). This affects an unknown code of the file modelsbyom.py. The manipulation with an unknown input leads to a remote privilege escalation vulnerability. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

An issue in deep-diver LLM-As-Chatbot before commit 99c2c03 allows a remote attacker to execute arbitrary code via the modelsbyom.py component.

The advisory is shared at diamond-bath-fd4.notion.site. This vulnerability is uniquely identified as CVE-2024-55241 since 12/06/2024. It is possible to initiate the attack remotely. Technical details are known, but no exploit is available.

Applying the patch 99c2c03 is able to eliminate this problem.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2024-52758). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

Chat Software

Vendor

deep-diver

Name

LLM-As-Chatbot

CPE 2.3info

🔍

CPE 2.2info

🔍

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.0

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AV	AC	Au	C	I	A
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳

Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock

VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Privilege escalation
CWE: Unknown
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-Day	Unlock	Unlock	Unlock	Unlock
Today	Unlock	Unlock	Unlock	Unlock

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔍

Patch: 99c2c03

Timelineinfo

12/06/2024 🔍
02/07/2025 +63 days 🔍
02/07/2025 +0 days 🔍
06/22/2025 +135 days 🔍

Sourcesinfo

Advisory: diamond-bath-fd4.notion.site
Status: Confirmed

CVE: CVE-2024-55241 (🔍)
GCVE (CVE): GCVE-0-2024-55241
GCVE (VulDB): GCVE-100-294921
EUVD: 🔍

Entryinfo

Created: 02/07/2025 07:25
Updated: 06/22/2025 20:28
Changes: 02/07/2025 07:25 (53), 06/22/2025 20:28 (1)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.