code-projects Content Management System 1.0 Publish News Page /admin/publishnews.php image unrestricted upload
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.11 |
Summary
A vulnerability identified as critical has been detected in code-projects Content Management System 1.0. This affects an unknown function of the file /admin/publishnews.php of the component Publish News Page. Performing a manipulation of the argument image results in unrestricted upload. This vulnerability is cataloged as CVE-2025-0346. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.
Details
A vulnerability was found in code-projects Content Management System 1.0. It has been classified as critical. This affects some unknown functionality of the file /admin/publishnews.php of the component Publish News Page. The manipulation of the argument image with an unknown input leads to a unrestricted upload vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability.
It is possible to read the advisory at gist.github.com. This vulnerability is uniquely identified as CVE-2025-0346. The exploitability is told to be easy. It is possible to initiate the attack remotely. Additional levels of successful authentication are needed for exploitation. Technical details and a public exploit are known. The attack technique deployed by this issue is T1608.002 according to MITRE ATT&CK.
The exploit is shared for download at gist.github.com. It is declared as proof-of-concept. By approaching the search of inurl:admin/publishnews.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
Type
Vendor
Name
Version
License
Website
- Vendor: https://code-projects.org/
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
01/08/2025 🔍01/08/2025 🔍
02/27/2025 🔍
Sources
Vendor: code-projects.orgAdvisory: gist.github.com
Status: Not defined
CVE: CVE-2025-0346 (🔍)
GCVE (CVE): GCVE-0-2025-0346
GCVE (VulDB): GCVE-100-290859
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 01/08/2025 21:42Updated: 02/27/2025 08:17
Changes: 01/08/2025 21:42 (57), 02/27/2025 08:17 (35)
Complete: 🔍
Cache ID: 216:A92:103
Submit
Accepted
- Submit #476728: code-projects CONTENT MANAGEMENT SYSTEM, News-Buzz 1.0 Unrestricted Upload (by gist.github.com)
Duplicate
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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