| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.4 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in Archery. This vulnerability affects unknown code of the file sql/data_dictionary.py. The manipulation leads to sql injection. This vulnerability is uniquely identified as CVE-2023-30558. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability, which was classified as critical, has been found in Archery (version now known). This issue affects some unknown processing of the file sql/data_dictionary.py. 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:
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. User input coming from the `db_name` in the `sql/data_dictionary.py` `table_list` endpoint is passed to the methods that follow in a given SQL engine implementations, which concatenate user input unsafely into a SQL query and afterwards pass it to the `query` method of each database engine for execution. The affected methods are `get_group_tables_by_db` in `sql/engines/mssql.py`which passes unsafe user input to `sql/engines/mssql.py`, and `get_group_tables_by_db` in `sql/engines/oracle.py`which concatenates input which is passed to execution on the database in the `sql/engines/oracle.py` `query` method. Each of these issues may be mitigated by escaping user input or by using prepared statements when executing SQL queries. This issue is also indexed as `GHSL-2022-105`.
The weakness was disclosed 04/19/2023 as GHSA-jwjj-jgfv-x66q. The advisory is shared at github.com. The identification of this vulnerability is CVE-2023-30558 since 04/12/2023. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1505 for this issue.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.4VulDB 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.): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 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: 🔍
Exploiting
Class: Sql injectionCWE: 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 Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
04/12/2023 🔍04/19/2023 🔍
04/19/2023 🔍
05/13/2023 🔍
Sources
Advisory: GHSA-jwjj-jgfv-x66qStatus: Confirmed
CVE: CVE-2023-30558 (🔍)
GCVE (CVE): GCVE-0-2023-30558
GCVE (VulDB): GCVE-100-226757
Entry
Created: 04/19/2023 06:44Updated: 05/13/2023 14:24
Changes: 04/19/2023 06:44 (37), 05/13/2023 14:24 (12)
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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