JoeyBling bootplus up to 247d5f6c209be1a5cf10cd0fa18e1d8cc63cf55d /admin/sys/role/list sort sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in JoeyBling bootplus up to 247d5f6c209be1a5cf10cd0fa18e1d8cc63cf55d. Affected by this vulnerability is an unknown functionality of the file /admin/sys/role/list. This manipulation of the argument sort causes sql injection. This vulnerability is tracked as CVE-2025-0699. The attack is possible to be carried out remotely. Moreover, an exploit is present. This product adopts a rolling release strategy to maintain continuous delivery. Therefore, version details for affected or updated releases cannot be specified.
Details
A vulnerability was found in JoeyBling bootplus up to 247d5f6c209be1a5cf10cd0fa18e1d8cc63cf55d. It has been declared as critical. Affected by this vulnerability is an unknown code of the file /admin/sys/role/list. The manipulation of the argument sort with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2025-0699. The exploitation appears to be easy. The attack can be launched remotely. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
It is possible to download the exploit at github.com. It is declared as proof-of-concept.
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.
Product
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍
CVSSv3
VulDB Meta Base Score: 7.1VulDB Meta Temp Score: 6.9
VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CNA Base Score: 6.3
CNA Vector: 🔍
CVSSv2
| 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: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
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
01/24/2025 🔍01/24/2025 🔍
10/10/2025 🔍
Sources
Product: github.comAdvisory: Bootplus has SQL injection #21
Status: Not defined
CVE: CVE-2025-0699 (🔍)
GCVE (CVE): GCVE-0-2025-0699
GCVE (VulDB): GCVE-100-293227
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 01/24/2025 10:51Updated: 10/10/2025 21:43
Changes: 01/24/2025 10:51 (57), 10/10/2025 21:43 (41)
Complete: 🔍
Submitter: LVZC3
Cache ID: 216::103
Submit
Accepted
- Submit #480836: JoeyBling bootplus 1.0 SQL Injection (by LVZC3)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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