Campcodes Complete Online Beauty Parlor Management System 1.0 forgot-password.php email sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.2 | $0-$5k | 0.12 |
Summary
A vulnerability has been found in Campcodes Complete Online Beauty Parlor Management System 1.0 and classified as critical. Impacted is an unknown function of the file /admin/forgot-password.php. The manipulation of the argument email leads to sql injection. This vulnerability is listed as CVE-2024-2767. The attack may be initiated remotely. In addition, an exploit is available.
Details
A vulnerability was found in Campcodes Complete Online Beauty Parlor Management System 1.0 and classified as critical. This issue affects an unknown part of the file /admin/forgot-password.php. The manipulation of the argument email 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.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2024-2767. The exploitation is known to be easy. The attack may be initiated remotely. Technical details as well as a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
The exploit is available at github.com. It is declared as proof-of-concept. By approaching the search of inurl:admin/forgot-password.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.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.campcodes.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.2
VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CNA Base Score: 6.3
CNA Vector (VulDB): 🔍
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: 🔍
NVD Base Score: 🔍
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: 🔍
Google Hack: 🔍
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
03/21/2024 🔍03/21/2024 🔍
03/21/2024 🔍
02/21/2025 🔍
Sources
Vendor: campcodes.comAdvisory: github.com
Status: Not defined
CVE: CVE-2024-2767 (🔍)
GCVE (CVE): GCVE-0-2024-2767
GCVE (VulDB): GCVE-100-257603
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/21/2024 16:38Updated: 02/21/2025 18:14
Changes: 03/21/2024 16:38 (55), 05/03/2024 09:57 (2), 05/03/2024 10:01 (18), 02/21/2025 18:14 (20)
Complete: 🔍
Submitter: SSL_Seven_Security Lab_WangZhiQiang_XiaoZiLong
Cache ID: 216:AA6:103
Submit
Accepted
- Submit #302364: campcodes Complete Online Beauty Parlor Management System ≤1.0 SQL injection (by SSL_Seven_Security Lab_WangZhiQiang_XiaoZiLong)
Duplicate
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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