Pagoda Linux Panel 6.0 Verification Code cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.2 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Pagoda Linux Panel 6.0. Affected by this issue is some unknown functionality of the component Verification Code Handler. The manipulation leads to cross site scripting. This vulnerability is traded as CVE-2018-18825. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability was found in Pagoda Linux Panel 6.0 and classified as problematic. This issue affects some unknown functionality of the component Verification Code Handler. The manipulation with an unknown input leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to 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. Impacted is integrity. The summary by CVE is:
Pagoda Linux panel V6.0 has XSS via the verification code associated with an invalid account login. A crafted code is mishandled during rendering of the login log.
The bug was discovered 10/30/2018. The weakness was shared 10/29/2018 (Website). The advisory is shared at github.com. The identification of this vulnerability is CVE-2018-18825 since 10/28/2018. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1059.007 for this issue.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.2VulDB Meta Temp Score: 5.2
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
10/28/2018 🔍10/29/2018 🔍
10/30/2018 🔍
10/30/2018 🔍
10/31/2018 🔍
04/07/2020 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2018-18825 (🔍)
GCVE (CVE): GCVE-0-2018-18825
GCVE (VulDB): GCVE-100-126149
Entry
Created: 10/31/2018 06:11Updated: 04/07/2020 18:29
Changes: 10/31/2018 06:11 (55), 04/07/2020 18:29 (1)
Complete: 🔍
Cache ID: 216:752:103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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