Campcodes House Rental Management System 1.0 ajax.php ID sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.40 |
Summary
A vulnerability has been found in Campcodes House Rental Management System 1.0 and classified as critical. This vulnerability affects unknown code of the file ajax.php. Performing a manipulation of the argument ID results in sql injection. This vulnerability is identified as CVE-2024-3719. The attack can be initiated remotely. Additionally, an exploit exists.
Details
A vulnerability, which was classified as critical, was found in Campcodes House Rental Management System 1.0. This affects an unknown part of the file ajax.php. The manipulation of the argument id 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.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2024-3719. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details and a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
The exploit is shared for download at github.com. It is declared as proof-of-concept. By approaching the search of inurl:ajax.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: 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 (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
04/12/2024 🔍04/12/2024 🔍
04/12/2024 🔍
03/05/2025 🔍
Sources
Vendor: campcodes.comAdvisory: github.com
Status: Not defined
CVE: CVE-2024-3719 (🔍)
GCVE (CVE): GCVE-0-2024-3719
GCVE (VulDB): GCVE-100-260571
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 04/12/2024 19:14Updated: 03/05/2025 18:14
Changes: 04/12/2024 19:14 (55), 05/22/2024 10:03 (2), 05/22/2024 10:04 (18), 06/05/2024 20:14 (8), 03/05/2025 18:14 (12)
Complete: 🔍
Submitter: SSL_Seven_Security Lab_WangZhiQiang_XiaoZiLong
Cache ID: 216::103
Submit
Accepted
- Submit #314205: campcodes House Rental Management System ≤1.0 SQL injection (by SSL_Seven_Security Lab_WangZhiQiang_XiaoZiLong)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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