VDB-221843 · CVE-2023-24206 · Issue 2320

Davinci 0.3.0-rc copyDisplay sql injection

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.
7.6	$0-$5k	0.00

Summaryinfo

A vulnerability classified as critical has been found in Davinci 0.3.0-rc. The affected element is the function copyDisplay. The manipulation leads to sql injection. This vulnerability is listed as CVE-2023-24206. There is no available exploit.

Detailsinfo

A vulnerability, which was classified as critical, has been found in Davinci 0.3.0-rc. This issue affects the function copyDisplay. The manipulation with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

Davinci v0.3.0-rc was discovered to contain a SQL injection vulnerability via the copyDisplay function.

The weakness was presented 02/27/2023 as 2320. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2023-24206 since 01/23/2023. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2023-28265). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Davinci

Version

0.3.0-rc

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.6

VulDB Base Score: 5.5
VulDB Temp Score: 5.5
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

AV	AC	Au	C	I	A
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💳	💳	💳	💳	💳	💳
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Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
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: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

01/23/2023 🔍
02/27/2023 +35 days 🔍
02/27/2023 +0 days 🔍
10/20/2025 +966 days 🔍

Sourcesinfo

Advisory: 2320
Status: Confirmed

CVE: CVE-2023-24206 (🔍)
GCVE (CVE): GCVE-0-2023-24206
GCVE (VulDB): GCVE-100-221843
EUVD: 🔍

Entryinfo

Created: 02/27/2023 17:25
Updated: 10/20/2025 08:30
Changes: 02/27/2023 17:25 (38), 03/25/2023 14:31 (11), 10/20/2025 08:30 (16)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.