Archery sql_optimize.py optimize_sqltuningadvisor sql injection

CVSS Meta Temp Score
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CTI Interest Score
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6.4$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Archery. Affected by this issue is the function optimize_sqltuningadvisor of the file sql_optimize.py. Performing a manipulation results in sql injection. This vulnerability is known as CVE-2023-30556. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability classified as critical has been found in Archery (the affected version is unknown). This affects the function optimize_sqltuningadvisor of the file sql_optimize.py. The manipulation with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Archery is an open source SQL audit platform. The Archery project contains multiple SQL injection vulnerabilities, that may allow an attacker to query the connected databases. Affected versions are subject to SQL injection in the `optimize_sqltuningadvisor` method of `sql_optimize.py`. User input coming from the `db_name` parameter value in `sql_optimize.py` is passed to the `sqltuningadvisor` method in `oracle.py`for execution. To mitigate escape the variables accepted via user input when used in `sql_optimize.py`. Users may also use prepared statements when dealing with SQL as a mitigation for this issue. This issue is also indexed as `GHSL-2022-107`.

The weakness was published 04/19/2023 as GHSA-6pv9-9gq7-hr68. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2023-30556 since 04/12/2023. 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.

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

Productinfo

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.4

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

CNA Base Score: 6.5
CNA Vector (GitHub, Inc.): 🔍

CVSSv2info

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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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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: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

04/12/2023 🔍
04/19/2023 +7 days 🔍
04/19/2023 +0 days 🔍
04/19/2023 +0 days 🔍

Sourcesinfo

Advisory: GHSA-6pv9-9gq7-hr68
Status: Confirmed

CVE: CVE-2023-30556 (🔍)
GCVE (CVE): GCVE-0-2023-30556
GCVE (VulDB): GCVE-100-226755

Entryinfo

Created: 04/19/2023 06:43
Changes: 04/19/2023 06:43 (48)
Complete: 🔍
Cache ID: 216::103

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

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