Castlenet CBW383G2N up to 20250301 /RgSwInfo.asp Description cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.6 | $0-$5k | 0.49 |
Summary
A vulnerability was found in Castlenet CBW383G2N up to 20250301. It has been classified as problematic. The affected element is an unknown function of the file /RgSwInfo.asp. Performing a manipulation of the argument Description with the input <img/src/onerror=prompt(8)> results in cross site scripting.
This vulnerability was named CVE-2025-2212. The attack may be initiated remotely. In addition, an exploit is available.
Other parameters might be affected as well. The vendor was contacted early about this disclosure but did not respond in any way.
Details
A vulnerability was found in Castlenet CBW383G2N up to 20250301. It has been classified as problematic. This affects an unknown code block of the file /RgSwInfo.asp. The manipulation of the argument Description with the input value <img/src/onerror=prompt(8)> leads to a cross site scripting vulnerability. CWE is classifying the issue as CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. This is going to have an impact on integrity.
This vulnerability is uniquely identified as CVE-2025-2212. The exploitability is told to be easy. It is possible to initiate the attack remotely. Additional levels of successful authentication are necessary for exploitation. It demands that the victim is doing some kind of user interaction. Technical details and a public exploit are known. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way. Other parameters might be affected as well. By approaching the search of inurl:RgSwInfo.asp 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
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: 3.6VulDB Meta Temp Score: 3.6
VulDB Base Score: 2.4
VulDB Temp Score: 2.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
NVD Vector: 🔍
CNA Base Score: 2.4
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: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
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
03/11/2025 🔍03/11/2025 🔍
01/29/2026 🔍
Sources
Status: Not definedCVE: CVE-2025-2212 (🔍)
GCVE (CVE): GCVE-0-2025-2212
GCVE (VulDB): GCVE-100-299283
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/11/2025 15:58Updated: 01/29/2026 17:25
Changes: 03/11/2025 15:58 (56), 03/12/2025 12:04 (30), 01/29/2026 17:25 (12)
Complete: 🔍
Submitter: Havook
Cache ID: 216::103
Submit
Accepted
- Submit #511873: Castlenet CBW383G2N DOCSIS 3.0 Cross Site Scripting (by Havook)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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