TestLink 1.9.20 dragdroptreenodes.php node_id sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.3$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in TestLink 1.9.20. This affects an unknown function of the file dragdroptreenodes.php. The manipulation of the argument node_id as part of Parameter leads to sql injection. This vulnerability is referenced as CVE-2020-8637. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in TestLink 1.9.20. It has been rated as critical. This issue affects an unknown code of the file dragdroptreenodes.php. The manipulation of the argument node_id as part of a Parameter 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:

A SQL injection vulnerability in TestLink 1.9.20 allows attackers to execute arbitrary SQL commands in dragdroptreenodes.php via the node_id parameter.

The weakness was published 04/03/2020 (GitHub Repository). The advisory is shared at github.com. The identification of this vulnerability is CVE-2020-8637 since 02/05/2020. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1505 for this issue.

By approaching the search of inurl:dragdroptreenodes.php it is possible to find vulnerable targets with Google Hacking.

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

Similar entries are available at VDB-152767 and VDB-152766. If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.3

VulDB Base Score: 7.3
VulDB Temp Score: 6.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined
Google Hack: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Patch: github.com

Timelineinfo

02/05/2020 🔍
04/03/2020 +58 days 🔍
04/04/2020 +1 days 🔍
05/13/2024 +1500 days 🔍

Sourcesinfo

Advisory: d99bd8277d384f3417e917ce20bef5d061110343
Status: Not defined
Confirmation: 🔍

CVE: CVE-2020-8637 (🔍)
GCVE (CVE): GCVE-0-2020-8637
GCVE (VulDB): GCVE-100-152765
See also: 🔍

Entryinfo

Created: 04/04/2020 13:48
Updated: 05/13/2024 18:39
Changes: 04/04/2020 13:48 (39), 04/04/2020 13:53 (17), 10/07/2020 12:58 (1), 05/13/2024 18:39 (19)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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