CodeAstro Real Estate Management System 1.0 About Us Page /aboutedit.php aimage unrestricted upload
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in CodeAstro Real Estate Management System 1.0. It has been rated as problematic. The affected element is an unknown function of the file /aboutedit.php of the component About Us Page. This manipulation of the argument aimage causes unrestricted upload. This vulnerability is registered as CVE-2024-11000. Remote exploitation of the attack is possible. Furthermore, an exploit is available.
Details
A vulnerability classified as problematic was found in CodeAstro Real Estate Management System 1.0. Affected by this vulnerability is an unknown function of the file /aboutedit.php of the component About Us Page. The manipulation of the argument aimage with an unknown input leads to a unrestricted upload vulnerability. The CWE definition for the vulnerability is CWE-434. The product allows the attacker to upload or transfer files of dangerous types that can be automatically processed within the product's environment. As an impact it is known to affect confidentiality, integrity, and availability.
The advisory is shared at github.com. This vulnerability is known as CVE-2024-11000. The exploitation appears to be easy. The attack can be launched remotely. The exploitation requires an enhanced level of successful authentication. Technical details and also a public exploit are known. MITRE ATT&CK project uses the attack technique T1608.002 for this issue.
It is possible to download the exploit at github.com. It is declared as proof-of-concept. By approaching the search of inurl:aboutedit.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.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
Website
- Vendor: https://codeastro.com/
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: 5.5VulDB Meta Temp Score: 5.4
VulDB Base Score: 4.7
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.2
NVD Vector: 🔍
CNA Base Score: 4.7
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: Unrestricted uploadCWE: CWE-434 / CWE-284 / CWE-266
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
11/07/2024 🔍11/07/2024 🔍
06/05/2025 🔍
Sources
Vendor: codeastro.comAdvisory: github.com
Status: Not defined
CVE: CVE-2024-11000 (🔍)
GCVE (CVE): GCVE-0-2024-11000
GCVE (VulDB): GCVE-100-283465
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 11/07/2024 21:52Updated: 06/05/2025 05:13
Changes: 11/07/2024 21:52 (55), 06/05/2025 05:13 (41)
Complete: 🔍
Submitter: egsec
Cache ID: 216::103
Submit
Accepted
- Submit #438603: CodeAstro Real Estate Management System 1.0 Arbitrary Authenticated File Upload Leading to RCE (by egsec)
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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